Aabø, Tala Maria, Jesper Sören Dramsch, Michael Welch, and Mikael Lüthje. 2017. “Correlation of Fractures from Core, Borehole Images and Seismic Data in a Chalk Reservoir in the Danish North Sea.” In 79th EAGE Conference and Exhibition 2017. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201701283.

Aabø, Tala Maria, Jesper Sören Dramsch, Camilla Louise Würtzen, Solomon Seyum, Frédéric Amour, Michael Welch, and Mikael Lüthje. 2020. “An Integrated Workflow for Fracture Characterization in Chalk Reservoirs, Applied to the Kraka Field.” Marine and Petroleum Geology 112. https://doi.org/https://doi.org/10.1016/j.marpetgeo.2019.104065.

Aabø, Tala Maria, Michael Welch, Jesper Sören Dramsch, Mikael Lüthje, Solomon Seyum, Frédéric Amour, and Camilla Louise Würtzen. 2017. “Fracture Characterization and Modelling in the Kraka Field.” Danish Hydrocarbon Research; Technology Centre.

Abadi, Martı́n, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, et al. 2015a. “TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.” http://tensorflow.org/.

Abadi, Martı́n, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, et al. 2015b. “TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.” https://www.tensorflow.org/.

Abedi, Maysam, Gholam-Hossain Norouzi, and Abbas Bahroudi. 2012. “Support Vector Machine for Multi-Classification of Mineral Prospectivity Areas.” Comput. Geosci. 46 (September): 272–83. https://doi.org/10.1016/j.cageo.2011.12.014.

Abreu, Carlos Eduardo, Nathalie Lucet, Philippe Nivlet, and Jean-Jacques Royer. 2005. “Improving 4d Seismic Data Interpretation Using Geostatistical Filtering.” In 9th International Congress of the Brazilian Geophysical Society & EXPOGEF, Salvador, Bahia, Brazil, 11-14 September 2005, 1249–51. Society of Exploration Geophysicists; Brazilian Geophysical Society. https://doi.org/10.1190/sbgf2005-248.

Addis, M A. 2017. “The Geology of Geomechanics: Petroleum Geomechanical Engineering in Field Development Planning.” Geological Society, London, Special Publications 458 (1): 7–29. https://doi.org/10.1144/sp458.7.

Agterberg, FP. 1966. “Markov Schemes for Multivariate Well Data.” In Proceedings, Symposium on Applications of Computers and Operations Research in the Mineral Industries, Pennsylvania State University, State College, Pennsylvania, 2:X1–x18.

Aizerman, Mark A. 1964. “Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning.” Automation and Remote Control 25: 821–37.

Akhmetov, A, and G Shishaev. 2018b. “Operational Selection of Wells for Hydraulic Fracturing Treatment Through Machine Learning.” In Saint Petersburg 2018.

———. 2018a. “Operational Selection of Wells for Hydraulic Fracturing Treatment Through Machine Learning.” In Saint Petersburg 2018. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=91476.

Al-Abadi, Alaa M. 2018. “Mapping Flood Susceptibility in an Arid Region of Southern Iraq Using Ensemble Machine Learning Classifiers: A Comparative Study.” Arabian Journal of Geosciences 11 (9): 218. https://doi.org/10.1007/s12517-018-3584-5.

Alaudah, Yazeed, Patrycja Michalowicz, Motaz Alfarraj, and Ghassan AlRegib. 2019. “A Machine Learning Benchmark for Facies Classification.” arXiv Preprint arXiv:1901.07659.

Alfarraj, Motaz, and Ghassan AlRegib. 2019. “Petrophysical Property Estimation from Seismic Data Using Recurrent Neural Networks.” arXiv Preprint arXiv:1901.08623.

Ali, Amna, Sophie Verdiere, Emmanuelle Brechet, Vincent Corpel, Frederic Cailly, Elodie Agar, and Olivier Billon. 2012. “Integration of 4d Seismic Monitoring Results as History Match Indicators for Reservoir Simulation.” In SPE Annual Technical Conference and Exhibition, 1–11. Society of Petroleum Engineers. https://doi.org/10.2118/159344-ms.

Alikhassi, Afsaneh, Hamed Esmaili Gourabi, and Masoud Baikpour. 2018. “Comparison of Inter-and Intra-Observer Variability of Breast Density Assessments Using the Fourth and Fifth Editions of Breast Imaging Reporting and Data System.” European Journal of Radiology Open 5: 67–72.

Al-Khawari, Hanaa, Reji P Athyal, Osama Al-Saeed, Prio N Sada, Sana Al-Muthairi, and Adel Al-Awadhi. 2010. “Inter-and Intraobserver Variation Between Radiologists in the Detection of Abnormal Parenchymal Lung Changes on High-Resolution Computed Tomography.” Annals of Saudi Medicine 30 (2): 129–33.

Allen, Daniel B, and Matthew J Pranter. 2016. “Geologically Constrained Electrofacies Classification of Fluvial Deposits: An Example from the Cretaceous Mesaverde Group, Uinta and Piceance Basins.” AAPG Bull. 100 (12): 1775–1801. https://doi.org/10.1306/05131614229.

Almutlaq, Mahdi H, and Gary F Margrave. 2010. “Tutorial: AVO Inversion.” CREWES Res. Rep. 22: 1–23.

Al-Nuaimy, W, Y Huang, M Nakhkash, M T C Fang, V T Nguyen, and A Eriksen. 2000. “Automatic Detection of Buried Utilities and Solid Objects with GPR Using Neural Networks and Pattern Recognition.” J. Appl. Geophys. 43 (2): 157–65. https://doi.org/10.1016/s0926-9851(99)00055-5.

AlRegib, G, M Deriche, Z Long, H Di, Z Wang, Y Alaudah, M A Shafiq, and M Alfarraj. 2018. “Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective.” IEEE Signal Process. Mag. 35 (2): 82–98. https://doi.org/10.1109/msp.2017.2785979.

AlRegib, Ghassan, Mohamed Deriche, Zhiling Long, Haibin Di, Zhen Wang, Yazeed Alaudah, Muhammad Amir Shafiq, and Motaz Alfarraj. 2018. “Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective.” IEEE Signal Processing Magazine 35 (2): 82–98.

Al-Yahya, Kamal. 1989. “Velocity analysis by iterative profile migration.” GEOPHYSICS 54 (6): 718–29. https://doi.org/10.1190/1.1442699.

Amin, A, M Deriche, M Shafiq, Z Wang, and G AlRegib. 2017. “Automated Salt-Dome Detection Using an Attribute Ranking Framework with a Dictionary-Based Classifier.” Interpretation 5 (3): Sj61–sj79. https://doi.org/10.1190/int-2016-0084.1.

Amini, H. 2018. “Comparison of Xu-White, Simplified Xu-White (Keys & Xu) and Nur’s Critical Porosity in Shaley Sands.” In 80th EAGE Conference and Exhibition 2018.

Amini, Hamed, and others. 2014. “A Pragmatic Approach to Simulator-to-Seismic Modelling for 4d Seismic Interpretation.” PhD thesis, Heriot-Watt University.

Amorèse, Daniel, Rémy Bossu, and Gilles Mazet-Roux. 2015. “Automatic Clustering of Macroseismic Intensity Data Points from Internet Questionnaires: Efficiency of the Partitioning Around Medoids (PAM).” Seismol. Res. Lett. 86 (4): 1171–77. https://doi.org/10.1785/0220140140.

Ampilov, Yu P, and D G Baturin. 2009. “4d Seismic State-Of-The-Art Technologies for Monitoring of Offshore Oil and Gas Fields Development.” Seismic Technology, 1–10. https://doi.org/10.3997/2405-7495.2015047.

Anifowose, Fatai Adesina, Jane Labadin, and Abdulazeez Abdulraheem. 2017. “Ensemble Machine Learning: An Untapped Modeling Paradigm for Petroleum Reservoir Characterization.” J. Pet. Sci. Eng. 151 (March): 480–87. https://doi.org/10.1016/j.petrol.2017.01.024.

Anifowose, F, C Ayadiuno, and F Rashedian. 2017b. “Carbonate Reservoir Cementation Factor Modeling Using Wireline Logs and Artificial Intelligence Methodology.” In 79th EAGE Conference and Exhibition 2017-Workshops.

———. 2017a. “Carbonate Reservoir Cementation Factor Modeling Using Wireline Logs and Artificial Intelligence Methodology.” In 79th EAGE Conference and Exhibition 2017-Workshops. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=89285.

Ansari, Hamid Reza. 2014. “Use Seismic Colored Inversion and Power Law Committee Machine Based on Imperial Competitive Algorithm for Improving Porosity Prediction in a Heterogeneous Reservoir.” J. Appl. Geophys. 108 (September): 61–68. https://doi.org/10.1016/j.jappgeo.2014.06.016.

Araya-Polo, M, F O Alpak, S Hunter, R Hofmann, and N Saxena. 2018. “Deep Learning-Driven Pore-Scale Simulation for Permeability Estimation.” In ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=93919.

Araya-Polo, Mauricio, Taylor Dahlke, Charlie Frogner, Chiyuan Zhang, Tomaso Poggio, and Detlef Hohl. 2017. “Automated Fault Detection Without Seismic Processing.” The Leading Edge 36 (3): 208–14.

Araya-Polo, Mauricio, Joseph Jennings, Amir Adler, and Taylor Dahlke. 2018. “Deep-Learning Tomography.” The Leading Edge 37 (1): 58–66.

Araya-Polo, M, T Dahlke, C Frogner, C Zhang, T Poggio, and D Hohl. 2017. “Automated Fault Detection Without Seismic Processing.” Lead. Edge 36 (3): 208–14. https://doi.org/10.1190/tle36030208.1.

Araya-Polo, M, J Jennings, A Adler, and T Dahlke. 2018. “Deep-Learning Tomography.” Lead. Edge 37 (1): 58–66. https://doi.org/10.1190/tle37010058.1.

Arjovsky, Martin, Soumith Chintala, and Léon Bottou. 2017. “Wasserstein Gan.” arXiv Preprint arXiv:1701.07875.

Arts, R J, R A Chadwick, O Eiken, M Trani, and S Dortland. 2007. “Synthetic Versus Real Time-Lapse Seismic Data at the Sleipner Co2 Injection Site.” In SEG Technical Program Expanded Abstracts 2007, 2974–78. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2793089.

Arts, R, O Eiken, A Chadwick, P Zweigel, L van der Meer, and B Zinszner. 2004. “Monitoring of Co2 Injected at Sleipner Using Time-Lapse Seismic Data.” Energy 29 (9-10): 1383–92. https://doi.org/10.1016/j.energy.2004.03.072.

Asefa, Tirusew, Mariush Kemblowski, Upmanu Lall, and Gilberto Urroz. 2005b. “Support Vector Machines for Nonlinear State Space Reconstruction: Application to the Great Salt Lake Time Series.” Water Resources Research 41 (12).

———. 2005a. “Support Vector Machines for Nonlinear State Space Reconstruction: Application to the Great Salt Lake Time Series.” Water Resour. Res. 41 (12). https://onlinelibrary.wiley.com/doi/abs/10.1029/2004WR003785.

Ashida, Yuzuru. 1996. “Data Processing of Reflection Seismic Data by Use of Neural Network.” J. Appl. Geophys. 35 (2): 89–98. https://doi.org/10.1016/0926-9851(96)00010-9.

Asoodeh, Mojtaba, and Parisa Bagheripour. 2013. “Fuzzy Classifier Based Support Vector Regression Framework for Poisson Ratio Determination.” J. Appl. Geophys. 96 (September): 7–10. https://doi.org/10.1016/j.jappgeo.2013.06.006.

———. 2014. “ACE Stimulated Neural Network for Shear Wave Velocity Determination from Well Logs.” J. Appl. Geophys. 107 (August): 102–7. https://doi.org/10.1016/j.jappgeo.2014.05.014.

Astratti, D, V Aarre, O V Vejbæk, and G White. 2015. “Mapping and Time-Lapse Analysis of South Arne Chalk Fault Network Using New Developments in Seismic Dip Computation Fundamental Controls on Fluid Flow in CarbonatesCurrent Workflows to Emerging Technologies GeoScienceWorld Books GeoScienceWorld.” https://pubs.geoscienceworld.org/books/book/1777/chapter/107678615/. https://doi.org/10.1144/sp406.10.

Athey, Susan, and Guido Imbens. 2016. “Recursive Partitioning for Heterogeneous Causal Effects.” Proceedings of the National Academy of Sciences 113 (27): 7353–60.

Ayeni, Gboyega, and Biondo Biondi. 2012. “Time-Lapse Seismic Imaging by Linearized Joint Inversion - a Valhall Field Case Study.” In SEG Technical Program Expanded Abstracts 2012, 1–6. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2012-0903.1.

Baan, M van der, and C Jutten. 2000. “Neural Networks in Geophysical Applications.” Geophysics 65 (4): 1032–47. https://doi.org/10.1190/1.1444797.

Babakhin, Yauhen, Artsiom Sanakoyeu, and Hirotoshi Kitamura. 2019a. “Semi-Supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks.” German Conference on Pattern Recognition (GCPR), 218–31.

———. 2019b. “Semi-Supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks.” In German Conference on Pattern Recognition, 218–31. Springer.

Bagheripour, Parisa. 2014. “Committee Neural Network Model for Rock Permeability Prediction.” J. Appl. Geophys. 104 (May): 142–48. https://doi.org/10.1016/j.jappgeo.2014.03.001.

Bajcsy, Ruzena, and Stane Kovačič. 1989. “Multiresolution Elastic Matching.” Computer Vision, Graphics, and Image Processing 46 (1): 1–21.

Balakrishnan, Guha, Amy Zhao, Mert R Sabuncu, John Guttag, and Adrian V Dalca. 2019. “VoxelMorph: A Learning Framework for Deformable Medical Image Registration.” IEEE Transactions on Medical Imaging.

Ballabio, Cristiano, and Simone Sterlacchini. 2012. “Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy.” Math. Geosci. 44 (1): 47–70. https://doi.org/10.1007/s11004-011-9379-9.

Bansal, Aayush, Shugao Ma, Deva Ramanan, and Yaser Sheikh. 2018. “Recycle-Gan: Unsupervised Video Retargeting.” In Proceedings of the European Conference on Computer Vision (ECCV), 119–35.

Barkved, Kristiansen. 2005. “Seismic Time-Lapse Effects and Stress Changes Examples from a Compacting Reservoir.pdf.”

Barkved, Olav I., Tron Kristiansen, and Erling Fjær. 2005. “The 4d Seismic Response of a Compacting Reservoir–Examples from the Valhall Field, Norway.” In SEG Technical Program Expanded Abstracts 2005, 2508–11. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2148232.

Barkved, Olav I, and Tron Kristiansen. 2005. “Seismic Time-Lapse Effects and Stress Changes: Examples from a Compacting Reservoir.” Lead. Edge 24 (12): 1244–48. https://doi.org/10.1190/1.2149636.

Barkved, Olav I, Tron Kristiansen, and Erling Fjær. 2005. “The 4d Seismic Response of a Compacting Reservoir—Examples from the Valhall Field, Norway.” In SEG Technical Program Expanded Abstracts 2005, 2508–11. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2148232.

Barnes, Arthur E. 2007. “A Tutorial on Complex Seismic Trace Analysis.” Geophysics 72 (6): W33–43.

Batzle, Michael, and Zhijing\ Wang. 1992. “Seismic Properties of Pore Fluids.” Geophysics 57 (11): 1396–1408. https://doi.org/10.1190/1.1443207.

Bauer, Klaus, Johannes Kulenkampff, Jan Henninges, and Erik Spangenberg. 2015. “Lithological Control on Gas Hydrate Saturation as Revealed by Signal Classification of NMR Logging Data.” J. Geophys. Res. [Solid Earth] 120 (9): 6001–17. https://onlinelibrary.wiley.com/doi/abs/10.1002/2015JB012150.

Bauer, K, R G Pratt, C Haberland, and M Weber. 2008a. “Neural Network Analysis of Crosshole Tomographic Images: The Seismic Signature of Gas Hydrate Bearing Sediments in the Mackenzie Delta (NW Canada).” Geophys. Res. Lett. 35 (19): 340. https://doi.org/10.1029/2008gl035263.

Bauer, K, RG Pratt, C Haberland, and M Weber. 2008b. “Neural Network Analysis of Crosshole Tomographic Images: The Seismic Signature of Gas Hydrate Bearing Sediments in the Mackenzie Delta (NW Canada).” Geophysical Research Letters 35 (19).

Baxter, Jonathan. 1998. “Theoretical Models of Learning to Learn.” In Learning to Learn, 71–94. Springer.

Bayes, Thomas. 1763. “LII. An Essay Towards Solving a Problem in the Doctrine of Chances. By the Late Rev. Mr. Bayes, FRS Communicated by Mr. Price, in a Letter to John Canton, AMFR s.” Philosophical Transactions of the Royal Society of London, no. 53: 370–418.

Beg, M Faisal, Michael I Miller, Alain Trouvé, and Laurent Younes. 2005. “Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms.” International Journal of Computer Vision 61 (2): 139–57.

Belson, William A. 1959. “Matching and Prediction on the Principle of Biological Classification.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 8 (2): 65–75.

Bennett, James, Stan Lanning, and others. 2007. “The Netflix Prize.” In Proceedings of KDD Cup and Workshop, 2007:35. New York, NY, USA.

Bergen, Karianne J, Paul A Johnson, V Maarten, and Gregory C Beroza. 2019. “Machine Learning for Data-Driven Discovery in Solid Earth Geoscience.” Science 363 (6433): eaau0323.

Bergstra, James S., Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011. “Algorithms for Hyper-Parameter Optimization.” In Advances in Neural Information Processing Systems 24, edited by J. Shawe-Taylor, R. S. Zemel, P. L. Bartlett, F. Pereira, and K. Q. Weinberger, 2546–54. Curran Associates, Inc. http://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization.pdf.

Bergstra, James, Brent Komer, Chris Eliasmith, Dan Yamins, and David D Cox. 2015. “Hyperopt: A Python Library for Model Selection and Hyperparameter Optimization.” Computational Science & Discovery 8 (1): 014008.

Bergstra, James, Daniel Yamins, and David Daniel Cox. 2013. “Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures.”

Berkhout, A. J. 2012. “Combining full wavefield migration and full waveform inversion a glance into the future of seismic imaging.” GEOPHYSICS 77 (2): S43–50. https://doi.org/10.1190/geo2011-0148.1.

Bestagini, P, V Lipari, and S Tubaro. 2017. “A Machine Learning Approach to Facies Classification Using Well Logs.” In SEG Technical Program Expanded Abstracts 2017, 2137–42. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17729805.1.

Beyreuther, Moritz, and Joachim Wassermann. 2008. “Continuous Earthquake Detection and Classification Using Discrete Hidden Markov Models.” Geophys. J. Int. 175 (3): 1055–66. https://doi.org/10.1111/j.1365-246X.2008.03921.x.

Bhatt, A, and H B Helle. 2002. “Determination of Facies from Well Logs Using Modular Neural Networks.” Pet. Geosci. http://www.earthdoc.org/publication/publicationdetails/?publication=37980.

Bhowmick, Debjani, Deepak K Gupta, Saumen Maiti, and Uma Shankar. 2018. “Deep Autoassociative Neural Networks for Noise Reduction in Seismic Data.” ArXiv, May. http://arxiv.org/abs/1805.00291.

Bicego, M, C Acosta-Muñoz, and M Orozco-Alzate. 2013. “Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings.” IEEE Trans. Geosci. Remote Sens. 51 (6): 3400–3409. https://doi.org/10.1109/tgrs.2012.2220370.

Birkenfeld, Sven. 2010. “Automatic Detection of Reflexion Hyperbolas in GPR Data with Neural Networks.” In World Automation Congress, 1–6. researchgate.net. https://www.researchgate.net/profile/Sven_Birkenfeld/publication/221671913_Automatic_detection_of_reflexion_hyperbolas_in_GPR_data_with_neural_networks/links/00b7d5303634cb6e1a000000.pdf.

Bishop, Chris M. 1995. “Training with Noise Is Equivalent to Tikhonov Regularization.” Neural Computation 7 (1): 108–16.

Bishop, Christopher M. 2016. Pattern Recognition and Machine Learning. Springer New York. https://market.android.com/details?id=book-kOXDtAEACAAJ.

Blinston, K, and H Blondelle. 2017. “Machine Learning Systems Open up Access to Large Volumes of Valuable Information Lying Dormant in Unstructured Documents.” Lead. Edge 36 (3): 257–61. https://doi.org/10.1190/tle36030257.1.

Blondelle, H, A Juneja, J Micaelli, and P Neri. 2017. “Machine Learning Can Extract the Information Needed for Modelling and Data Analysing from Unstructured Documents.” In 79th EAGE Conference and Exhibition 2017-Workshops. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=89273.

Blouin, M. 2017. “Facies Classification Using Machine Learning: Lessons from SEG-ML Contest.” In 79th EAGE Conference and Exhibition 2017-Workshops. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=89360.

Blouin, M, A Caté, L Perozzi, and E Gloaguen. 2017. “Automated Facies Prediction in Drillholes Using Machine Learning.” In 79th EAGE Conference and Exhibition 2017-Workshops. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=89276.

Boateng, C, L Fu, W Yu, and G Xizhu. 2017. “Porosity Inversion by Caianiello Neural Networks with Levenberg-Marquardt Optimization.” Interpretation 5 (3): Sl33–sl42. https://doi.org/10.1190/int-2016-0119.1.

Bojarski, Mariusz, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, et al. 2016. “End to End Learning for Self-Driving Cars.” arXiv Preprint arXiv:1604.07316.

Bond, Clare Elizabeth, Alan D Gibbs, Zoe K Shipton, Serena Jones, and others. 2007. “What Do You Think This Is?‘conceptual Uncertainty’in Geoscience Interpretation.” GSA Today 17 (11): 4.

Braeuer, Benjamin, and Klaus Bauer. 2015. “A New Interpretation of Seismic Tomography in the Southern Dead Sea Basin Using Neural Network Clustering Techniques: INTERPRETATION OF TOMOGRAPHY IN THE SDSB.” Geophys. Res. Lett., Lecture notes comput. sci, 42 (22): 9772–80. https://doi.org/10.1002/2015gl066559.

Breiman, Leo. 2001. “Random Forests.” Machine Learning 45 (1): 5–32.

Brice, Tim, Leif Larsen, Steve Morice, and Morten Svendsun. 2001. “Perturbations in 4d Marine Seismic.” ASEG Extended Abstracts 2001 (1): 1. https://doi.org/10.1071/ASEG2001ab010.

Broggini, Filippo, Roel Snieder, and Kees Wapenaar. 2012. “Focusing the wavefield inside an unknown 1D medium: Beyond seismic interferometry.” GEOPHYSICS 77 (5): A25–28. https://doi.org/10.1190/geo2012-0060.1.

Brown, Tom B, Dandelion Mané, Aurko Roy, Martı́n Abadi, and Justin Gilmer. 2017. “Adversarial Patch.” arXiv Preprint arXiv:1712.09665.

Brown, Tom B, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, et al. 2020. “Language Models Are Few-Shot Learners.” arXiv Preprint arXiv:2005.14165.

Bruges: Bag of Really Useful Geophysical Equations and Stuff. 2016. https://github.com/agile-geoscience/bruges.

Bruyelle, Jérémie, and Dominique Guérillot. 2014. “Neural Networks and Their Derivatives for History Matching and Reservoir Optimization Problems.” Computational Geosciences 18 (3): 549–61. https://doi.org/10.1007/s10596-013-9390-y.

Bryson, Arthur E. 1961. “A Gradient Method for Optimizing Multi-Stage Allocation Processes.” In Proc. Harvard Univ. Symposium on Digital Computers and Their Applications. Vol. 72.

Buitinck, Lars, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, et al. 2013. “API Design for Machine Learning Software: Experiences from the Scikit-Learn Project.” In ECML PKDD Workshop: Languages for Data Mining and Machine Learning, 108–22.

Butterworth, N, D Steinberg, R D Müller, S Williams, and others. 2016. “Tectonic Environments of South American Porphyry Copper Magmatism Through Time Revealed by Spatiotemporal Data Mining.” https://onlinelibrary.wiley.com/doi/abs/10.1002/2016TC004289.

Byerley, G, K O Roervik, J Pedersen, and K Ranaweera. 2006. “Reducing Risk and Monitoring Water Injection Using Time-Lapse (4d) Seismic at the Ekofisk Field.” In 68th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2006. https://doi.org/10.3997/2214-4609.201402390.

Cabrera, Irving. 2017. “Evaluation of Boosting Algorithms for Prospectivity Mapping.” In.

Calderón-Macı́as, C, M Sen, and P Stoffa. 1997. “Hopfield Neural Networks, and Mean Field Annealing for Seismic Deconvolution and Multiple Attenuation.” Geophysics 62 (3): 992–1002. https://doi.org/10.1190/1.1444205.

Calvert, M. A., L. D. Vagg, K. B. Lafond, A. R. Hoover, K. C. Ooi, and I. H. Herbert. 2014. “Insights into sweep efficiency using 4D seismic at Halfdan field in the North Sea.” The Leading Edge, no. 2: 182–87. https://doi.org/10.1190/tle33020182.1.

Calvert, M. A, H. H Roende, I. H Herbert, J Za, P Hickman, and U Micksch. 2014. “The impact of a quick 4D seismic survey and processing over the Halfdan Field, Danish North Sea.” First Break 32 (2017): 43–50. https://doi.org/10.3997/1365-2397.2014003.

Calvert, M A, H H Roende, I H Herbert, J Za, P Hickman, and U Micksch. 2014. “The Impact of a Quick 4d Seismic Survey and Processing over the Halfdan Field, Danish North Sea.” First Break 32 (2017): 43–50. https://doi.org/10.3997/1365-2397.2014003.

Calvert, M. A, H. H Roende, I. H Herbert, and J Zaske. 2013. “Quick Impact of New 4D over the Halfdan Field , Danish North Sea.” In 75th EAGE Conference & Exhibition 2013 London. We 12 13.

Calvert, M A, H H Roende, I H Herbert, and J Zaske. 2013b. “Quick Impact of New 4d over the Halfdan Field, Danish North Sea.” In 75th EAGE Conference & Exhibition Incorporating SPE EUROPEC 2013 London, UK, 10-13 June 2013, 11:10–13. https://doi.org/10.3997/2214-4609.20130852.

———. 2013a. “Quick Impact of New 4d over the Halfdan Field , Danish North Sea.” In 75th EAGE Conference & Exhibition Incorporating SPE EUROPEC 2013 London, UK, 10-13 June 2013.

Calvert, M A, L D Vagg, K B Lafond, A R Hoover, K C Ooi, and I H Herbert. 2014. “Insights into Sweep Efficiency Using 4d Seismic at Halfdan Field in the North Sea.” Lead. Edge, no. 2: 182–87. https://doi.org/10.1190/tle33020182.1.

Calvert, Rodney. 2005. Insights and Methods for 4d Reservoir Monitoring and Characterization. Vol. 3200011. Society of Exploration Geophysicists; European Association of Geoscientists; Engineers. https://doi.org/10.1190/1.9781560801696.

Canchumuni, Smith Arauco, Alexandre A Emerick, Marco Aurelio Pacheco, and Others. 2017. “Integration of Ensemble Data Assimilation and Deep Learning for History Matching Facies Models.” In OTC Brasil. Offshore Technology Conference; onepetro.org. https://www.onepetro.org/conference-paper/OTC-28015-MS.

Cao, J, and B Roy. 2017. “Time-Lapse Reservoir Property Change Estimation from Seismic Using Machine Learning.” Lead. Edge 36 (3): 234–38. https://doi.org/10.1190/tle36030234.1.

Carranza, Emmanuel John M, and Alice G Laborte. 2015. “Data-Driven Predictive Mapping of Gold Prospectivity, Baguio District, Philippines: Application of Random Forests Algorithm.” Ore Geol. Rev. 71 (December): 777–87. https://doi.org/10.1016/j.oregeorev.2014.08.010.

Carreira, V, C Ponte Neto, and R Bijani. 2018. “A Comparison of Machine Learning Processes for Classification of Rock Units Using Well Log Data.” In 80th EAGE Conference and Exhibition 2018. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=92908.

Castagna, John P, and Milo M Backus. 1993. Offset-Dependent Reflectivity–Theory and Practice of AVO Analysis. Society of Exploration Geophysicists.

Castellaro, Silvia, and Francesco Mulargia. 2007. “Classification of Pre-Eruption and Non-Pre-Eruption Epochs at Mount Etna Volcano by Means of Artificial Neural Networks.” Geophys. Res. Lett. 34 (10). https://onlinelibrary.wiley.com/doi/abs/10.1029/2007GL029513.

Caté, Antoine, Ernst Schetselaar, Patrick Mercier-Langevin, and Pierre-Simon Ross. 2018. “Classification of Lithostratigraphic and Alteration Units from Drillhole Lithogeochemical Data Using Machine Learning: A Case Study from the Lalor Volcanogenic Massive Sulphide Deposit, Snow Lake, Manitoba, Canada.” J. Geochem. Explor. 188: 216–28. https://www.sciencedirect.com/science/article/pii/S0375674217305083.

Caté, A, L Perozzi, E Gloaguen, and M Blouin. 2017. “Machine Learning as a Tool for Geologists.” Lead. Edge 36 (3): 215–19. https://doi.org/10.1190/tle36030215.1.

Chaki, S, A Routray, and W K Mohanty. 2018. “Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective.” IEEE Signal Process. Mag. 35 (2): 72–81. https://doi.org/10.1109/msp.2017.2776602.

Chan, Shing, and Ahmed H Elsheikh. 2017. “Parametrization and Generation of Geological Models with Generative Adversarial Networks.” arXiv Preprint arXiv:1708.01810.

Chang, Chih-Chung, and Chih-Jen Lin. 2011. “LIBSVM: A Library for Support Vector Machines.” ACM Trans. Intell. Syst. Technol. 2 (3): 27:1–27. https://doi.org/10.1145/1961189.1961199.

Chang, Hsien-Cheng, David C Kopaska-Merkel, and Hui-Chuan Chen. 2002. “Identification of Lithofacies Using Kohonen Self-Organizing Maps.” Comput. Geosci. 28 (2): 223–29. https://doi.org/10.1016/s0098-3004(01)00067-x.

Chang, Li-Chiu, Fi-John Chang, and Ya-Hsin Tsai. 2005. “Fuzzy Exemplar-Based Inference System for Flood Forecasting.” Water Resour. Res. 41 (2). https://onlinelibrary.wiley.com/doi/abs/10.1029/2004WR003037.

Chen, Tianqi, and Carlos Guestrin. 2016. “XGBoost: A Scalable Tree Boosting System.” In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–94. Kdd ’16. New York, NY, USA: Acm. https://doi.org/10.1145/2939672.2939785.

Chen, Yongliang. 2015. “Mineral Potential Mapping with a Restricted Boltzmann Machine.” Ore Geol. Rev. 71 (December): 749–60. https://doi.org/10.1016/j.oregeorev.2014.08.012.

Chen, Yongliang, Laijun Lu, and Xuebin Li. 2014. “Application of Continuous Restricted Boltzmann Machine to Identify Multivariate Geochemical Anomaly.” J. Geochem. Explor. 140 (May): 56–63. https://doi.org/10.1016/j.gexplo.2014.02.013.

Chen, Yongliang, and Wei Wu. 2017. “Application of One-Class Support Vector Machine to Quickly Identify Multivariate Anomalies from Geochemical Exploration Data.” Geochem. Explor. Environ. Analy. 17 (3): 231–38. https://doi.org/10.1144/geochem2016-024.

Chen, Yunpeng, Haoqi Fang, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, and Jiashi Feng. 2019. “Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution.” arXiv Preprint arXiv:1904.05049.

Chen, Zhuoheng, Yexin Liu, and Kirk Osadetz. 2012. “Geological Risk Evaluation Using the Support Vector Machine with Examples from the Late Triassic–Early Jurassic Structural Play in Western Sverdrup Basin, Canadian Arctic Archipelago.” Bull. Can. Petrol. Geol. 60 (3): 142–57. https://pubs.geoscienceworld.org/cspg/bcpg/article-abstract/60/3/142/266453.

Cherrett, AJ, I Escobar, and HP Hansen. 2011. “Fast Deterministic Geostatistical Inversion.” In 73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011.

Chevitarese, Daniel, Daniela Szwarcman, Reinaldo Mozart D Silva, and Emilio Vital Brazil. 2018. “Seismic Facies Segmentation Using Deep Learning.” In ACE 2018 Annual Convention & Exhibition. searchanddiscovery.com. http://www.searchanddiscovery.com/documents/2018/42286chevitarese/ndx_chevitarese.pdf.

Chiles, JP, and P Chauvet. 1975. “Kriging: A Method for Cartography of the Sea Floor.” The International Hydrographic Review.

Chilès, Jean-Paul, and Nicolas Desassis. 2018. “Fifty Years of Kriging.” In Handbook of Mathematical Geosciences, 589–612. Springer.

Ching, Travers, Daniel S Himmelstein, Brett K Beaulieu-Jones, Alexandr A Kalinin, Brian T Do, Gregory P Way, Enrico Ferrero, et al. 2018. “Opportunities and Obstacles for Deep Learning in Biology and Medicine.” J. R. Soc. Interface 15 (141). https://doi.org/10.1098/rsif.2017.0387.

Cho, D, B Goodway, M Perez, A Iverson, and G Margrave. 2013a. “4d-Attenuation-Analysis-for-Permeability-Estimates-in-Hydraulically-Induced Induced Fractures.” CSEG Recorder 38 (1): 1–7.

Cho, D, B Goodway, M Perez, A Iverson, and G F Margrave. 2013b. “Time Lapse Attenuation Analysis to Estimate Permeability in Hydraulically Induced Fractures.” In. https://doi.org/10.3997/2214-4609.20130289.

Cho, Kyunghyun, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. “Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation.” arXiv Preprint arXiv:1406.1078.

Chollet, François, and others. 2015a. “Keras.” https://keras.io.

———. 2015b. “Keras.” https://github.com/fchollet/keras; GitHub.

Chopra, Satinder, Kurt J Marfurt, and Ha T Mai. 2009. “Using 3d Rose Diagrams for Correlation of Seismic Fracture Lineaments with Similar Lineaments from Attributes and Well Log Data.” In SEG Technical Program Expanded Abstracts 2009, 27:3574–78. Society of Exploration Geophysicists. https://doi.org/10.1190/1.3255608.

Chopra, Sumit, Raia Hadsell, Yann LeCun, and others. 2005. “Learning a Similarity Metric Discriminatively, with Application to Face Verification.” In CVPR (1), 539–46.

Christensen, Gary E, Richard D Rabbitt, and Michael I Miller. 1994. “3d Brain Mapping Using a Deformable Neuroanatomy.” Physics in Medicine & Biology 39 (3): 609.

Christensen, S, T Ebbe-Dalgaard, A Rosendal, J Christensen, G Robinson, A Zellou, and T Royer. 2006. “Seismically Driven Reservoir Characterization Using an Innovative Integrated Approach: Syd Arne Field.” Proceedings, SPE Annual Technical Conference and Exhibition, 1–11. https://doi.org/10.2118/103282-ms.

Christensen, Soren Amdi, Tanja Jo Ebbe-Dalgaard, Anders Rosendal, Jesper Werner Christensen, Gary Charles Robinson, Abdel Mogheeth Zellou, and Theodore Royer. 2006. “Seismically Driven Reservoir Characterization Using an Innovative Integrated Approach: Syd Arne Field.” In SPE Annual Technical Conference and Exhibition. https://doi.org/10.2118/103282-ms.

Ciresan, Dan Claudiu, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, and Jürgen Schmidhuber. 2011. “Flexible, High Performance Convolutional Neural Networks for Image Classification.” In Twenty-Second International Joint Conference on Artificial Intelligence.

Collobert, Ronan, Samy Bengio, and Johnny Mariéthoz. 2002. “Torch: A Modular Machine Learning Software Library.” Idiap.

Corte, G, Jesper Sören Dramsch, C MacBeth, and H Amini. 2020. “Deep Neural Network Application for 4d Seismic Inversion to Pressure and Saturation: Enhancing Training Data Sets.” In 82nd EAGE Annual Conference & Exhibition, 2020:1–5. 1. European Association of Geoscientists & Engineers.

Corte, Gustavo, Jesper Sören Dramsch, Colin MacBeth, and Hamed Amini. 2019. “Exploring Training Possibilities in a Deep Neural Network Application for Inverting 4d Seismic Maps to Changes in Pressure and Saturation.” Tbd, November.

Corte, Gustavo, Colin MacBeth, and Hamed Amini. submitted 2019. “North Sea Field Application of 4d Bayesian Inversion to Pressure and Saturation Changes.” In 81st EAGE Conference & Exhibition 2019.

Cortes, Corinna, and Vladimir Vapnik. 1995. “Support-Vector Networks.” Machine Learning 20 (3): 273–97.

Cover, Thomas, and Peter Hart. 1967. “Nearest Neighbor Pattern Classification.” IEEE Transactions on Information Theory 13 (1): 21–27.

Côrte, Gustavo, Jesper Sören Dramsch, Hamed Amini, and Colin MacBeth. 2020. “Deep Neural Network Application for 4d Seismic Inversion to Changes in Pressure and Saturation: Optimizing the Use of Synthetic Training Datasets.” Geophysical Prospecting 68 (7): 2164–85.

Cracknell, Matthew J, and Anya M Reading. 2013. “The Upside of Uncertainty: Identification of Lithology Contact Zones from Airborne Geophysics and Satellite Data Using Random Forests and Support Vector Machines.” Geophysics 78 (3): Wb113–wb126.

Cressie, Noel. 1990. “The Origins of Kriging.” Mathematical Geology 22 (3): 239–52.

Cui, Yi-An, Lu Wang, and Jian-Ping Xiao. 2010. “Automatic Feature Recognition for GPR Image Processing.” Proc. World Acad. Of Sci. Eng. Technol. 61: 176–79. https://pdfs.semanticscholar.org/edd6/3447f33c032fe26dfb970e92f6194e98df97.pdf.

Dahl, George E., Tara N. Sainath, and Geoffrey E. Hinton. 2013. “Improving deep neural networks for LVCSR using rectified linear units and dropout.” In 2013 IEEE International Conference on Acoustics Speech and Signal Processing. IEEE. https://doi.org/10.1109/icassp.2013.6639346.

Dai, Hengchang, and Colin MacBeth. 1995. “Automatic Picking of Seismic Arrivals in Local Earthquake Data Using an Artificial Neural Network.” Geophys. J. Int. 120 (3): 758–74. https://doi.org/10.1111/j.1365-246X.1995.tb01851.x.

———. 1997. “Application of Back-Propagation Neural Networks to Identification of Seismic Arrival Types.” Phys. Earth Planet. Inter. 101 (3): 177–88. https://doi.org/10.1016/s0031-9201(97)00004-6.

Dai, H, and C MacBeth. 1994a. “A Neural Network Picker for VSP Data.” 56th EAEG Meeting. http://www.earthdoc.org/publication/publicationdetails/?publication=12499.

———. 1994b. “Split Shear-Wave Analysis Using an Artificial Neural Network.” First Break. http://www.earthdoc.org/publication/publicationdetails/?publication=28365.

———. 1997. “The Application of Back-Propagation Neural Network to Automatic Picking Seismic Arrivals from Single-Component Recordings.” J. Geophys. Res. [Solid Earth]. https://onlinelibrary.wiley.com/doi/abs/10.1029/97JB00625.

Dalca, Adrian V, Guha Balakrishnan, Bruce Fischl, Polina Golland, John Guttag, Juan Eugenio Iglesias, Marianne Rakic, et al. 2018. “Voxelmorph.” voxelmorph.mit.edu.

Dalca, Adrian V, Guha Balakrishnan, John Guttag, and Mert R Sabuncu. 2018. “Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, 729–38. Springer.

Dammeier, Franziska, Jeffrey R Moore, Conny Hammer, Florian Haslinger, and Simon Loew. 2016. “Automatic Detection of Alpine Rockslides in Continuous Seismic Data Using Hidden Markov Models.” J. Geophys. Res. Earth Surf., Of the ser. Lect. Notes in comput. sci, 121 (2): 351–71. https://doi.org/10.1002/2015jf003647.

Danihelka, Ivo, Greg Wayne, Benigno Uria, Nal Kalchbrenner, and Alex Graves. 2016. “Associative Long Short-Term Memory.” CoRR abs/1602.03032. http://arxiv.org/abs/1602.03032.

Dechter, Rina. 1986. Learning While Searching in Constraint-Satisfaction Problems. University of California, Computer Science Department, Cognitive Systems ….

Delhomme, JP. 1978. “Kriging in the Hydrosciences.” Advances in Water Resources 1: 251–66.

Deng, J., W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. 2009. “ImageNet: A Large-Scale Hierarchical Image Database.” In Cvpr09.

Deng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. “Imagenet: A Large-Scale Hierarchical Image Database.” In 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–55. Ieee.

Devilee, R J R, A Curtis, and K Roy-Chowdhury. 1999. “An Efficient, Probabilistic Neural Network Approach to Solving Inverse Problems: Inverting Surface Wave Velocities for Eurasian Crustal Thickness.” J. Geophys. Res. 104 (B12): 28841–57. https://doi.org/10.1029/1999jb900273.

Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. “Bert: Pre-Training of Deep Bidirectional Transformers for Language Understanding.” arXiv Preprint arXiv:1810.04805.

DeVries, P M R, T B Thompson, and others. 2017. “Enabling Large-Scale Viscoelastic Calculations via Neural Network Acceleration.” Geophys. Res. Lett. https://onlinelibrary.wiley.com/doi/abs/10.1002/2017GL072716.

DeVries, Phoebe MR, Fernanda Viégas, Martin Wattenberg, and Brendan J Meade. 2018. “Deep Learning of Aftershock Patterns Following Large Earthquakes.” Nature 560 (7720): 632.

Di, Haibin, Muhammad Amir Shafiq, and Ghassan AlRegib. 2017. “Seismic-Fault Detection Based on Multiattribute Support Vector Machine Analysis.” In SEG Technical Program Expanded Abstracts 2017, 2039–44. Society of Exploration Geophysicists.

Di, H, M Shafiq, and G AlRegib. 2017a. “Multi-Attribute k-Means Cluster Analysis for Salt Boundary Detection.” 79th EAGE Conference and Exhibition. http://www.earthdoc.org/publication/publicationdetails/?publication=88632.

———. 2017b. “Seismic-Fault Detection Based on Multiattribute Support Vector Machine Analysis.” In SEG Technical Program Expanded Abstracts 2017, 2039–44. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17748277.1.

Di, H, Z Wang, and G AlRegib. 2018a. “Deep Convolutional Neural Networks for Seismic Salt-Body Delineation.” AAPG Annual Convention and. http://www.searchanddiscovery.com/documents/2018/70360di/ndx_di.pdf.

———. 2018b. “Seismic Fault Detection from Post-Stack Amplitude by Convolutional Neural Networks.” 80th EAGE Conference and Exhibition 2018. http://www.earthdoc.org/publication/publicationdetails/?publication=92119.

Dodge, D A, and D B Harris. 2016. “Large-Scale Test of Dynamic Correlation Processors: Implications for Correlation-Based Seismic Pipelines.” Bull. Seismol. Soc. Am. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/106/2/435/332173.

Dodge, D A, and W R Walter. 2015. “Initial Global Seismic Cross-Correlation Results: Implications for Empirical Signal Detectors.” Bull. Seismol. Soc. Am. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/105/1/240/323489.

Dong, Huaimin, Jianmeng Sun, Naser Golsanami, Likai Cui, Liming Jiang, Guoliang Yan, Weichao Yan, and Yafen Li. 2018. “A Method to Construct High-Precision Complex Pore Digital Rock.” J. Geophys. Eng. 15 (6): 2695–2703. https://doi.org/10.1088/1742-2140/aae04e.

Dons, T, O Jørgensen, and L Gommesen. 2007b. “Observations and Quantitative Analyses of Waterflood Patterns in a Chalk Reservoir Using Seismic Data, Halfdan Field, Danish North Sea.” Offshore Europe, no. Figure 1: 1–11.

———. 2007a. “Observations and Quantitative Analyses of Waterflood Patterns in a Chalk Reservoir Using Seismic Data, Halfdan Field, Danish North Sea.” Offshore Europe, no. Figure 1: 1–11.

Dony, Robert D, and Simon Haykin. 1995. “Neural Network Approaches to Image Compression.” Proceedings of the IEEE 83 (2): 288–303.

Dorigo, Marco. 1992. “Optimization, Learning and Natural Algorithms.” PhD Thesis, Politecnico Di Milano.

Dorn-Lopez, D. 2005b. “Dan Field Time-Lapse Seismic (4D) , Case History of an early Field Trial.” In 67th European Association of Geoscientists and Engineers, EAGE Conference and Exhibition. H032.

———. 2005a. “Dan Field Time-Lapse Seismic (4d) , Case History of an Early Field Trial.” In 67th European Association of Geoscientists and Engineers, EAGE Conference and Exhibition, Incorporating SPE Europe2005 - Extended Abstracts.

Dorn-Lopez, D, A Srensen, G Mavko, I L Fabricius, and K Hedegaard. 2005a. “Modeling Seismic Response of Danish Chalk Reservoirs to Changes Induced by Production.” In 67th European Association of Geoscientists and Engineers, EAGE Conference and Exhibition, Incorporating SPE Europe2005 - Extended Abstracts.

Dorn-Lopez, D, A Srensen, G Mavko, I. L Fabricius, and K Hedegaard. 2005b. “Modeling seismic response of danish chalk reservoirs to changes induced by production.” In 67th European Association of Geoscientists and Engineers, EAGE Conference and Exhibition. H031.

Dorn-López, D, A Sørensen, G Mavko, Ida Lykke Fabricius, and K Hedegaard. 2005. “Modeling Seismic Response of Danish Chalk Reservoirs to Changes Induced by Production.” 67th European Association of Geoscientists and Engineers, EAGE Conference and Exhibition, Incorporating SPE Europe2005 - Extended Abstracts Cd-rom (June): 1847–50.

Dosovitskiy, Alexey, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox. 2015. “Flownet: Learning Optical Flow with Convolutional Networks.” In Proceedings of the IEEE International Conference on Computer Vision, 2758–66.

Dowla, Farid U, Steven R Taylor, and Russell W Anderson. 1990. “Seismic Discrimination with Artificial Neural Networks: Preliminary Results with Regional Spectral Data.” Bull. Seismol. Soc. Am. 80 (5): 1346–73. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/80/5/1346/119382.

Draelos, T J, S Ballard, C J Young, and others. 2015. “A New Method for Producing Automated Seismic Bulletins: Probabilistic Event Detection, Association, and Location.” Bulletin of the. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/105/5/2453/331946.

Draelos, Timothy J, Michael J Procopio, Jennifer E Lewis, and Christopher J Young. 2012. “False Event Screening Using Data Mining in Historical Archives.” Seismol. Res. Lett. 83 (2): 267–74. https://doi.org/10.1785/gssrl.83.2.267.

Dramsch, Jesper S, Gustavo Corte, Hamed Amini, Mikael Lüthje, and Colin MacBeth. 2019. “Deep Learning Application for 4d Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data.” EarthArXiv. eartharxiv.org/sj7zf.

Dramsch, Jesper Soeren. 2020a. “3d Decision Volume of SVM, Random Forest, and Deep Neural Network.” figshare. https://doi.org/10.6084/m9.figshare.12640226.v1.

———. 2020b. “Code for 70 Years of Machine Learning in Geoscience in Review.” figshare. https://doi.org/10.6084/m9.figshare.12666140.v1.

———. 2020c. “4d Seismic Warping Voxelmorph Code.” figshare. https://doi.org/10.6084/m9.figshare.12808910.v1.

Dramsch, Jesper Sören. 2017a. “Edge Detection in 3d Seismic Data.” DHRTC PhD Day.

———. 2017b. “Edge Detection in 3d Seismic.” DTU Vision Day.

———. 2018a. “KFold in Deep Learning.” EuroSciPy. https://doi.org/10.6084/m9.figshare.7035908.

———. 2018b. Reproducible Code: Gaussian Mixture Models for Robust Unsupervised Scanning-Electron Microscopy Image Segmentation of North Sea Chalk. GitHub. https://github.com/JesperDramsch/backscatter-sem-segmentation.

———. 2018c. Reproducible Code: Information Theory Considerations in Patch-Based Training of Deep Neural Networks on Seismic Time-Series. GitHub. https://github.com/JesperDramsch/windowing-seismic-for-deep-learning.

———. 2018d. “Machine Learning Workshop.” Heriot-Watt University, ETLP.

———. 2018e. “4d Seismics in Fracture Characterization – a Machine Learning Perspective.” Company Talk - ConocoPhillips.

———. 2018f. “A Practitioner’s Guide to Deep Learning in Geophysical Imaging.” FORCE Velocity Modeling Meeting; FORCE Velocity Modeling Meeting. https://doi.org/10.6084/m9.figshare.7170299.v1.

———. 2018g. “A Practitioner’s Guide to Deep Learning in Geophysical Imaging.” FORCE Velocity Modeling Meeting; FORCE Velocity Modeling Meeting. https://doi.org/10.6084/m9.figshare.7170299.

———. 2018h. Reproducible Code: Deep-Learning Seismic Facies on State-of-the-Art CNN Architectures. https://doi.org/10.6084/m9.figshare.7227545.

———. 2019a. “Machine Learning in 4d Seismic Data Analysis: Deep Neural Networks in Geophysics.” PhD thesis, Technical University of Denmark.

———. 2019b. Reproducible Code: Complex-Valued Neural Networks for Machine Learning on Non-Stationary Physical Data. GitHub. https://github.com/JesperDramsch/Complex-CNN-Seismic.

———. 2019c. Reproducible Code: Deep Learning Application for 4d Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data. GitHub. https://github.com/JesperDramsch/4D-seismic-neural-inversion.

———. 2019d. Reproducible Code: Deep Unsupervised 4d Seismic 3d Time-Shift Estimation with Convolutional Neural Networks. https://github.com/JesperDramsch/voxelmorph-seismic.

———. 2019e. “Making Sense of AI for a Career in a Changing Industry.” EAGE Annual Meeting 2019; EAGE Annual Meeting 2019.

———. 2019f. “Cracking Open the Black Box – Making Sense of Machine Learning and Neural Networks.” EAGE E-Lecture; EAGE E-Lecture. https://www.youtube.com/watch?v=5oOXTfUZQm0.

———. 2020a. “Code for 70 Years of Machine Learning in Geoscience in Review.” https://doi.org/10.6084/m9.figshare.12666140.v1.

———. 2020b. Reproducible Code: Dynamic Timewarping Tutorial – Geophysics. https://github.com/JesperDramsch/dtw-tutorial.

———. 2020c. “70 Years of Machine Learning in Geoscience in Review.” In Advances in Geophysics, edited by Benjamin Moseley and Lion Krischer. Academic Press.

Dramsch, Jesper Sören, Frédéric Amour, and Mikael Lüthje. 2018. “Gaussian Mixture Models for Robust Unsupervised Scanning-Electron Microscopy Image Segmentation of North Sea Chalk.” In First EAGE/PESGB Workshop Machine Learning. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201803014.

Dramsch, Jesper Sören, Anders Nymark Christensen, and Mikael Lüthje. 2019a. “Let’s Do the Time Warp Again! – Revisiting Dynamic Time Warping – a Practical Tutorial in Python on North Sea Field Data.” Geophysics.

———. 2019b. “Physics and Deep Learning - Incorporating Prior Knowledge in Deep Neural Networks.” DHRTC PhD days. https://doi.org/10.6084/m9.figshare.8217518.v1.

Dramsch, Jesper Sören, Anders Nymark Christensen, Colin MacBeth, and Mikael Lüthje. 2019. “Deep Unsupervised 4d Seismic 3d Time-Shift Estimation with Convolutional Neural Networks.” IEEE Transactions in Geoscience and Remote Sensing.

Dramsch, Jesper Sören, and Contributors. 2018. “Awesome Open Geoscience.” Software Underground. https://github.com/softwareunderground/awesome-open-geoscience.

———. 2019. Complex-Valued Neural Networks in Keras with Tensorflow. figshare. https://doi.org/10.6084/m9.figshare.9783773.

Dramsch, Jesper Sören, Gustavo Corte, Hamed Amini, Mikael Lüthje, and Colin MacBeth. 2019a. “Deep Learning Application for 4d Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data.” In Second EAGE Workshop Practical Reservoir Monitoring 2019. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201900028.

———. 2019b. “Deep Learning Application for 4d Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data.” https://doi.org/10.31223/osf.io/zytp2.

———. 2019c. “Deep Learning Application for 4d Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data.” ETLP Sponsor Meeting 2019.

Dramsch, Jesper Sören, Gustavo Corte, Hamed Amini, Colin MacBeth, and Mikael Lüthje. 2019d. “Including Physics in Deep Learning – an Example from 4d Seismic Pressure Saturation Inversion.” In 81st EAGE Conference and Exhibition 2019 Workshop Programme. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201901967.

———. 2019e. “Physics-Based Deep Neural Encoders-Decoder Network for 4d Seismic Pressure-Saturation Inversion on North Sea Data.” Tbd, December.

Dramsch, Jesper Sören, and Mikael Lüthje. 2018a. “Deep Learning: From Cats to 4d Seismic - Reducing Cycle Time and Model Training Cost in Asset Management.” Danish Hydrocarbon Research; Technology Centre. https://doi.org/10.6084/m9.figshare.7422629.

———. 2018b. “Deep-Learning Seismic Facies on State-of-the-Art CNN Architectures.” In SEG Technical Program Expanded Abstracts 2018, 2036–40. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2018-2996783.1.

———. 2018c. “Information Theory Considerations in Patch-Based Training of Deep Neural Networks on Seismic Time-Series.” In First EAGE/PESGB Workshop Machine Learning. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201803020.

———. 2018d. “Information Theory Considerations in Patch-Based Training of Deep Neural Networks on Seismic Time-Series.” In First EAGE/PESGB Workshop Machine Learning. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201803020.

Dramsch, Jesper Sören, Mikael Lüthje, and Anders Nymark Christensen. 2019. “Complex-Valued Neural Networks for Machine Learning on Non-Stationary Physical Data.” Computers & Geoscience.

Dreyfus, Stuart. 1962. “The Numerical Solution of Variational Problems.” Journal of Mathematical Analysis and Applications 5 (1): 30–45.

Dubrule, Olivier. 1984. “Comparing Splines and Kriging.” Computers & Geosciences 10 (2-3): 327–38.

Dupont, Emilien, Tuanfeng Zhang, Peter Tilke, Lin Liang, and William Bailey. 2018. “Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks.” arXiv Preprint arXiv:1802.03065.

Dutkiewicz, Adriana, R Dietmar Müller, Simon O’Callaghan, and Hjörtur Jónasson. 2015. “Census of Seafloor Sediments in the World’s Ocean.” Geology 43 (9): 795–98. https://doi.org/10.1130/g36883.1.

Duvenaud, David. 2014. “Automatic Model Construction with Gaussian Processes.” PhD thesis, University of Cambridge.

Eastwood, John. 1993. “Temperature-Dependent Propagation of P - and - Waves in Cold Lake Oil Sands: Comparison of Theory and Experiment.” Geophysics 58 (6): 863–72. https://doi.org/10.1190/1.1443470.

Eastwood, John, Pierre Lebel, Andrew Dilay, and Sam Blakeslee. 1994. “Seismic Monitoring of Steam-Based Recovery of Bitumen.” Lead. Edge 13 (4): 242–51. https://doi.org/10.1190/1.1437015.

Ebaid, Hesham, Mosab Nasser, Paul Hatchell, and Darrell Stanley. 2009. “Time-Lapse Seismic Makes a Significant Business Impact at Holstein.” In SEG Technical Program Expanded Abstracts 2009, 3810–14. Society of Exploration Geophysicists. https://doi.org/10.1190/1.3255661.

Ebaid, Hesham, Ali Tura, Mosab Nasser, Paul Hatchell, Frans Smit, Nigel Payne, Don Herron, Darrell Stanley, John Kaldy, and Chuck Barousse. 2008. “First Dual-Vessel High-Repeat GoM 4d Survey Shows Development Options at Holstein Field.” Lead. Edge 27 (12): 1622–25. https://doi.org/10.1190/1.3036965.

Eidsvik, Jo, and Ulrich Theune. 2009. “Blocky Inversion of Time-Lapse Seismic AVO Data.” In SEG Technical Program Expanded Abstracts 2009, 3820–24. Society of Exploration Geophysicists. https://doi.org/10.1190/1.3255664.

Eiken, O, I Brevik, R Arts, E Lindeberg, and K Fagervik. 2000. “Seismic Monitoring of CO 2 Injected into a Marine Acquifer.” In SEG Technical Program Expanded Abstracts 2000, 1623–26. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1815725.

Eiken, Ola. 2005. “Repeatability Issues of Time-Lapse Marine Seismic Data.” In 9th International Congress of the Brazilian Geophysical Society & EXPOGEF, Salvador, Bahia, Brazil, 11-14 September 2005, 1267–72. Society of Exploration Geophysicists; Brazilian Geophysical Society. https://doi.org/10.1190/sbgf2005-251.

Eiken, Ola, Geir Ultveit Haugen, Michel Schonewille, and Adri Duijndam. 2003. “A Proven Method for Acquiring Highly Repeatable Towed Streamer Seismic Data.” Geophysics 68 (4): 1303–9. https://doi.org/10.1190/1.1598123.

Eiken, Ola, and Richard Tøndel. 2005. “Sensitivity of Time-Lapse Seismic Data to Pore Pressure Changes: Is Quantification Possible?” Lead. Edge 24 (12): 1250–54. https://doi.org/10.1190/1.2149638.

Emelyanova, I, M Pervukhina, M Clennell, and others. 2017. “Unsupervised Identification of Electrofacies Employing Machine Learning.” 79th EAGE Conference. http://www.earthdoc.org/publication/publicationdetails/?publication=89274.

Engel, Jesse, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, and Adam Roberts. 2019. “Gansynth: Adversarial Neural Audio Synthesis.” arXiv Preprint arXiv:1902.08710.

Esposito, A M, F Giudicepietro, S Scarpetta, L D’Auria, M Marinaro, and M Martini. 2006. “Automatic Discrimination Among Landslide, Explosion-Quake, and Microtremor Seismic Signals at Stromboli Volcano Using Neural Networks.” Bull. Seismol. Soc. Am. 96 (4a): 1230–40. https://doi.org/10.1785/0120050097.

Falsaperla, S, G Barberi, and others. 2013. “The Failed Eruption of Mt. Etna in December 2005: Evidence from Volcanic Tremor Analyses.” Geochem. Geophys. Geosyst. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2013GC004976.

Falsaperla, S, S Graziani, G Nunnari, and S Spampinato. 1996. “Automatic Classification of Volcanic Earthquakes by Using Multi-Layered Neural Networks.” Nat. Hazards 13 (3): 205–28. https://doi.org/10.1007/bf00215816.

Fanchi, John R. 2001. “Time-Lapse Seismic Monitoring in Reservoir Management.” Lead. Edge 20 (10): 1140–47. https://doi.org/10.1190/1.1487246.

Fang, Lihua, Zhongliang Wu, and Kuan Song. 2017. “SeismOlympics.” Seismol. Res. Lett. 88 (6): 1429–30. https://doi.org/10.1785/0220170134.

Feng, Xia-Ting, and Masahiro Seto. 1998. “Neural Network Dynamic Modelling of Rock Microfracturing Sequences Under Triaxial Compressive Stress Conditions.” Tectonophysics 292 (3): 293–309. https://doi.org/10.1016/s0040-1951(98)00072-9.

Ferreira, R, E V Brazil, R Silva, and others. 2018. “Texture-Based Similarity Graph to Aid Seismic Interpretation.” ACE 2018 Annual. http://www.searchanddiscovery.com/documents/2018/70365ferreira/ndx_ferreira.pdf.

Forel, David, Thomas Benz, and Wayne D Pennington. 2005. Seismic Data Processing with Seismic Un*x: A 2d Seismic Data Processing Primer. Society of Exploration Geophysicists.

Formento, Jean-Luc, Marcos Sebastiao dos Santos, Rui Cesar Sansonovski, Nier Maciel Da Silva Ribeiro Junior, and Guilherme Fernandes Vasquez. 2007. “4d Seismic Modeling Workflow over the Marlim Field.” In 10th International Congress of the Brazilian Geophysical Society & EXPOGEF 2007, Rio de Janeiro, Brazil, 19-23 November 2007, 2388–92. Society of Exploration Geophysicists; Brazilian Geophysical Society. https://doi.org/10.1190/sbgf2007-473.

Frykman, P, O V Vejbaek, and Niels Beck. 2003. “Modelling of Dynamic Fluid Contacts in Chalk Reservoirs.” GEUS Report.

Fukushima, Kunihiko. 1980. “Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position.” Biological Cybernetics 36 (4): 193–202.

Fung, Chun Che, Kok Wai Wong, and H Eren. 1997. “Modular Artificial Neural Network for Prediction of Petrophysical Properties from Well Log Data.” IEEE Trans. Instrum. Meas. 46 (6): 1295–99. https://doi.org/10.1109/19.668276.

Gadot, David, and Lior Wolf. 2016. “PatchBatch: A Batch Augmented Loss for Optical Flow.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4236–45.

Gaganis, V, and N Varotsis. 2012. “Machine Learning Methods to Speed up Compositional Reservoir Simulation (SPE 154505).” 74th EAGE Conference and Exhibition. http://www.earthdoc.org/publication/publicationdetails/?publication=59137.

Gamba, P, and S Lossani. 2000. “Neural Detection of Pipe Signatures in Ground Penetrating Radar Images.” IEEE Trans. Geosci. Remote Sens. 38 (2): 790–97. https://doi.org/10.1109/36.842008.

Gao, Dengliang. 2003. “Volume Texture Extraction for 3d Seismic Visualization and Interpretation.” Geophysics 68 (4): 1294–1302. https://doi.org/10.1190/1.1598122.

Geiss, Roy H, Katherine P Rice, Robert R Keller, and Ole Jørgensen. 2002. “Using Flow Induced Stresses for Steering of Injection Fractures.” In SPE/ISRM Rock Mechanics Conference. Society of Petroleum Engineers. https://doi.org/10.2118/78220-ms.

Gennaro, M, J P Wonham, R Gawthorpe, and G Sælen. 2013. “Seismic Stratigraphy of the Chalk Group in the Norwegian Central Graben, North Sea.” Mar. Pet. Geol. 45. https://doi.org/10.1016/j.marpetgeo.2013.04.010.

Gentili, S, and A Michelini. 2006. “Automatic Picking of P and S Phases Using a Neural Tree.” J. Seismol. 10 (1): 39–63. https://doi.org/10.1007/s10950-006-2296-6.

“GEUS Data Base.” 2016. http://data.geus.dk/geusmap/?mapname=oil_and_gas.

Ghaderi, Amir, and Martin Landrø. 2005. “Pre-Stack Estimation of Time-Lapse Seismic Velocity Changes–an Example from the Sleipner Co2-Sequestration Project.” In Greenhouse Gas Control Technologies 7, 633–41. Elsevier.

Giorgino, Toni, and others. 2009. “Computing and Visualizing Dynamic Time Warping Alignments in r: The Dtw Package.” Journal of Statistical Software 31 (7): 1–24.

Glorot, Xavier, and Yoshua Bengio. 2010. “Understanding the Difficulty of Training Deep Feedforward Neural Networks.” In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 249–56.

Goldberg, David E, and John H Holland. 1988. “Genetic Algorithms and Machine Learning.” Mach. Learn. 3 (2-3): 95–99. https://doi.org/10.1023/a:1022602019183.

Golsanami, N, A Kadkhodaie-Ilkhchi, and A Erfani. 2015. “Synthesis of Capillary Pressure Curves from Post-Stack Seismic Data with the Use of Intelligent Estimators: A Case Study from the Iranian Part of the South Pars ….” Journal of Applied. https://www.sciencedirect.com/science/article/pii/S0926985114003413.

Gommesen, Lars, Thomas Dons, Hans P Hansen, Jan Stammeijer, and Paul Hatchell. 2007. “4D seismic signatures of North Sea chalk - The Dan Field,” 2847–51.

Gommesen, Lars, Thomas Dons, Hans P Hansen, Jan Stammeijer, Paul Hatchell, and Others. 2007. “4d Seismic Signatures of North Sea Chalk-The Dan Field.” In 2007 SEG Annual Meeting, 2847–51. Society of Exploration Geophysicists.

Gommesen, L, and H. P Hansen. 2012b. “Chalk Reservoir Management Through Rock Physics Diagnostics - Field Examples from the Danish North Sea.” In SPE Europec/EAGE Annual Conference, 4–7. June 2012. Society of Petroleum Engineers. https://doi.org/10.2118/154870-MS.

Gommesen, L, and H P Hansen. 2012a. “Chalk Reservoir Management Through Rock Physics Diagnostics - Field Examples from the Danish North Sea.” In SPE Europec/EAGE Annual Conference, 4–7. Society of Petroleum Engineers. https://doi.org/10.2118/154870-MS.

Goodfellow, Ian J, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, et al. 2013. “Challenges in Representation Learning: A Report on Three Machine Learning Contests.” In International Conference on Neural Information Processing, 117–24. Springer.

Goodfellow, Ian J, Jonathon Shlens, and Christian Szegedy. 2014. “Explaining and Harnessing Adversarial Examples.” arXiv Preprint arXiv:1412.6572.

Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016a. Deep Learning. MIT Press.

———. 2016b. “Deep Learning (Adaptive Computation and Machine Learning Series).” Adaptive Computation and Machine Learning Series, 800.

Goodfellow, Ian, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014b. “Generative Adversarial Nets.” In Advances in Neural Information Processing Systems, 2672–80.

———. 2014a. “Generative Adversarial Nets.” In Advances in Neural Information Processing Systems 27, edited by Z Ghahramani, M Welling, C Cortes, N D Lawrence, and K Q Weinberger, 2672–80. Curran Associates, Inc. http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf.

Goshtasby, Ardeshir. 1988. “Image Registration by Local Approximation Methods.” Image and Vision Computing 6 (4): 255–61.

Gosselin, Olivier, S I Aanonsen, I Aavatsmark, A Cominelli, R Gonard, M Kolasinski, F Ferdinandi, L Kovacic, and K Neylon. 2003. “History Matching Using Time-Lapse Seismic (HUTS).” In SPE Annual Technical Conference and Exhibition, 1–15. Society of Petroleum Engineers. https://doi.org/10.2118/84464-ms.

Görtler, Jochen, Rebecca Kehlbeck, and Oliver Deussen. 2019. “A Visual Exploration of Gaussian Processes.” Distill. https://doi.org/10.23915/distill.00017.

Gramstad, O, and M Nickel. 2018. “Automated Top Salt Interpretation Using a Deep Convolutional Net.” 80th EAGE Conference and Exhibition 2018. http://www.earthdoc.org/publication/publicationdetails/?publication=92117.

Granek, J, and E Haber. 2015. “Data Mining for Real Mining: A Robust Algorithm for Prospectivity Mapping with Uncertainties.” In Proceedings of the 2015 SIAM International Conference on Data Mining, 145–53. Proceedings. Society for Industrial; Applied Mathematics. https://doi.org/10.1137/1.9781611974010.17.

Graves, Alex. 2012. “Sequence Transduction with Recurrent Neural Networks.” arXiv Preprint arXiv:1211.3711.

Greaves, Robert J, and Terrance J Fulp. 1987. “Three-Dimensional Seismic Monitoring of an Enhanced Oil Recovery Process.” Geophysics 52 (9): 1175–87. https://doi.org/10.1190/1.1442381.

Griffin, Daniel, and Jae Lim. 1984. In IEEE Transactions on Acoustics, Speech, and Signal Processing, 32:236–43. 2. IEEE. https://doi.org/10.1109/icassp.1983.1172092.

Grün, Felix, Christian Rupprecht, Nassir Navab, and Federico Tombari. 2016. “A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks.” arXiv Preprint arXiv:1606.07757.

Guilbot, Jérôme, and Brackin Smith. 2002. “4-D Constrained Depth Conversion for Reservoir Compaction Estimation: Application to Ekofisk Field.” Lead. Edge 21 (3): 302–8. https://doi.org/10.1190/1.1463782.

Guilbot, J, B Smith, and F Pirera. 2002b. “Interpretation Tools and Methods for Chalk Reservoir Characterization.” In 64th EAGE Conference & Exhibition.

———. 2002a. “Interpretation Tools and Methods for Chalk Reservoir Characterization.” In 64th EAGE Conference & Exhibition 2002.

Guillen, P, G Larrazabal, G González, D Boumber, and R Vilalta. 2015. “Supervised Learning to Detect Salt Body.” In SEG Technical Program Expanded Abstracts 2015, 1826–29. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2015-5931401.1.

Guitton, A. 2018. “3d Convolutional Neural Networks for Fault Interpretation.” 80th EAGE Conference and Exhibition 2018. http://www.earthdoc.org/publication/publicationdetails/?publication=92118.

Guitton, Antoine, Gboyega Ayeni, and Esteban Dı́az. 2012. “Constrained full-waveform inversion by model reparameterization1.” GEOPHYSICS 77 (2): R117–27. https://doi.org/10.1190/geo2011-0196.1.

Gulbrandsen, M L, L B Ball, B J Minsley, and T M Hansen. 2017. “Automatic Mapping of the Base of Aquifer—a Case Study from Morrill, Nebraska.” Interpretation. https://library.seg.org/doi/abs/10.1190/INT-2016-0195.1.

Gulrajani, Ishaan, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville. 2017. “Improved Training of Wasserstein Gans.” In Advances in Neural Information Processing Systems, 5767–77.

Guo, R, Y S Zhang, H Lin, and W Liu. 2017. “Sweet Spot Interpretation from Multiple Attributes: Machine Learning and Neural Networks Technologies.” First EAGE/AMGP/AMGE Latin. http://www.earthdoc.org/publication/publicationdetails/?publication=90731.

Gupta, I, C Rai, C Sondergeld, and D Devegowda. 2018. “Rock Typing in the Upper Devonian-Lower Mississippian Woodford Shale Formation, Oklahoma, USA.” Interpretation 6 (1): Sc55–sc66. https://doi.org/10.1190/int-2017-0015.1.

Güney, Fatma, and Andreas Geiger. 2016. “Deep Discrete Flow.” In Asian Conference on Computer Vision, 207–24. Springer.

Hahnloser, Richard HR, Rahul Sarpeshkar, Misha A Mahowald, Rodney J Douglas, and H Sebastian Seung. 2000. “Digital Selection and Analogue Amplification Coexist in a Cortex-Inspired Silicon Circuit.” Nature 405 (6789): 947–51.

Hajimoradlou, Ainaz, Gioachino Roberti, and David Poole. 2019. “Predicting Landslides Using Contour Aligning Convolutional Neural Networks.” arXiv: Computer Vision and Pattern Recognition.

Hale, D. 2013. “Methods to Compute Fault Images, Extract Fault Surfaces, and Estimate Fault Throws from 3d Seismic Images.” Geophysics 78 (2): O33–o43. https://doi.org/10.1190/geo2012-0331.1.

Hale, Dave. 2006. “An Efficient Method for Computing Local Cross-Correlations of Multi-Dimensional Signals.” CWP Report 656.

———. 2013a. “Dynamic Warping of Seismic Images.” Geophysics 78 (2): S105–15.

———. 2013b. “Methods to Compute Fault Images, Extract Fault Surfaces, and Estimate Fault Throws from 3d Seismic Images.” Geophysics 78 (2): O33–43.

Hall, B. 2016. “Facies Classification Using Machine Learning.” Lead. Edge 35 (10): 906–9. https://doi.org/10.1190/tle35100906.1.

Hall, M, and B Hall. 2017. “Distributed Collaborative Prediction: Results of the Machine Learning Contest.” Lead. Edge 36 (3): 267–69. https://doi.org/10.1190/tle36030267.1.

Hall, Stephen A, Colin MacBeth, Olav I Barkved, and Phil Wild. 2002a. “Time‐lapse Seismic Monitoring of Compaction and Subsidence at Valhall Through Cross‐matching and Interpreted Warping of 3d Streamer and OBC Data.” In SEG Technical Program Expanded Abstracts 2002, 1696–99. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1817004.

———. 2002b. “Time-Lapse Seismic Monitoring of Compaction and Subsidence at Valhall Through Cross-Matching and Interpreted Warping of 3d Streamer and OBC Data.” In SEG Technical Program Expanded Abstracts 2002, 1696–99. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1817004.

Hall, Stephen A, Colin MacBeth, Olav I Barkved, and Philip Wild. 2005. “Cross-Matching with Interpreted Warping of 3d Streamer and 3d Ocean-Bottom-Cable Data at Valhall for Time-Lapse Assessment.” Geophysical Prospecting 53 (2): 283–97.

Hamdi, Hamidreza, Ivo Couckuyt, Mario Costa Sousa, and Tom Dhaene. 2017. “Gaussian Processes for History-Matching: Application to an Unconventional Gas Reservoir.” Computational Geosciences 21 (2): 267–87. https://doi.org/10.1007/s10596-016-9611-2.

Hansen, T M, and K S Cordua. 2017. “Efficient Monte Carlo Sampling of Inverse Problems Using a Neural Network-Based Forward—Applied to GPR Crosshole Traveltime Inversion.” Geophys. J. Int. 211 (3): 1524–33. https://doi.org/10.1093/gji/ggx380.

Harrigan, E, J R Kroh, W A Sandham, and T S Durrani. 1991. “Seismic Wavelet Extraction Using Artificial Neural Networks.” In 1991 Second International Conference on Artificial Neural Networks, 95–99. ieeexplore.ieee.org. https://ieeexplore.ieee.org/abstract/document/140293/.

Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Science & Business Media.

Hatchell, P J, A van den Beukel, M M Molenaar, K P Maron, C J Kenter, J G F Stammeijer, J J van der Velde, and C M Sayers. 2003. “Whole Earth 4d: Reservoir Monitoring Geomechanics.” In SEG Technical Program Expanded Abstracts 2003, 1330–33. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1817532.

Hatchell, P J, and S J Bourne. 2005. “Measuring Reservoir Compaction Using Time‐lapse Timeshifts.” In SEG Technical Program Expanded Abstracts 2005, 2500–2503. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2148230.

Hatchell, P J, S J Bourne, and The Netherlands. 2005. “Measuring Reservoir Compaction Using Time-Lapse Timeshifts.” SEG/Houston 2005 Annual Meeting, January, 2500–2504. https://doi.org/10.1190/1.2148230.

Hatchell, P J, O Jorgensen, L Gommesen, and J Stammeijer. 2007. “Monitoring Reservoir Compaction from Subsidence and Time-Lapse Time Shifts in the Dan Field.” In SEG Technical Program Expanded Abstracts 2007, 2867–71. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2793062.

Hatchell, P J, A Van Den Beukel, M M Molenaar, K P Maron, C J Kenter, Jgf Stammeijer, J J Van der Velde, C Sayers, and Others. 2003. “Whole Earth 4d: Reservoir Monitoring Geomechanics.” In 73rd SEG Meeting, Dallas, USA, Expanded Abstracts, 1330–33.

Hatchell, Paul, and Stephen Bourne. 2005. “Rocks Under Strain: Strain-Induced Time-Lapse Time Shifts Are Observed for Depleting Reservoirs.” The Leading Edge 24 (12): 1222–25.

Hatchell, Paul, Stephen Bourne, and The Netherlands. 2005. “Rocks Under Strain: Strain-Induced Time-Lapse Time Shifts Are Observed for Depleting Reservoirs.” Lead. Edge 24 (12): 1222–25. https://doi.org/10.1190/1.2149624.

Hawkins, Keith, Sharon Howe, Steve Hollingworth, Graham Conroy, Cggveritas Lotfi Ben-Brahim, Claire Tindle, Neville Taylor, et al. n.d. “Geomechanical Stresses from 4d Timeshifts Measured Around the Depleting Franklin and Elgin Reservoirs.”

Hawkins, Keith, Sharon Howe, Steve Hollingworth, Graham Conroy, U K Lotfi Ben-Brahim, Claire Tindle, Neville Taylor, et al. 2007. “Production-Induced Stresses from Time-Lapse Time Shifts: A Geomechanics Case Study from Franklin and Elgin Fields.” Lead. Edge 26 (5): 655–62. https://doi.org/10.1190/1.2737105.

He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015. “Delving Deep into Rectifiers: Surpassing Human-Level Performance on Imagenet Classification.” In Proceedings of the IEEE International Conference on Computer Vision, 1026–34.

———. 2016. “Deep Residual Learning for Image Recognition.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770–78.

He, Tong, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, and Mu Li. 2019. “Bag of Tricks for Image Classification with Convolutional Neural Networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 558–67.

Helle, H B, and A Bhatt. 2002. “Fluid Saturation from Well Logs Using Committee Neural Networks.” Pet. Geosci. http://pg.lyellcollection.org/content/8/2/109.short.

Hermes, Lothar, Dieter Frieauff, Jan Puzicha, and Joachim M Buhmann. 1999. “Support Vector Machines for Land Usage Classification in Landsat TM Imagery.” In IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS’99 (Cat. No. 99ch36293), 1:348–50. Ieee.

Herwanger, J. 2015. “Seismic Geomechanics - How to Build and Calibrate Geomechanical Models Using 3d and 4d Siesmic Data.” EAGE Education Tour, 1–219.

Herwanger, J V, C R Schiøtt, R Frederiksen, F If, O V Vejbæk, R Wold, H J Hansen, E Palmer, and N Koutsabeloulis. 2010. “Applying Time-Lapse Seismic Methods to Reservoir Management and Field Development Planning at South Arne, Danish North Sea Petroleum GeologyFrom Mature Basins to New Frontiers – Proceedings of the 7th Petroleum Geology Conference GeoScienceWorld Books GeoScienceWorld.” In Petroleum Geology: From Mature Basins to New Frontiers—Proceedings of the 7th Petroleum Geology Conference, 523–35. Geological Society of London. https://doi.org/10.1144/0070523.

Herwanger, Jorg V, and Steve A Horne. 2009. “Linking Reservoir Geomechanics and Time-Lapse Seismics: Predicting Anisotropic Velocity Changes and Seismic Attributes.” Geophysics 74 (4): W13–w33. https://doi.org/10.1190/1.3122407.

Herwanger, Jorg V, Farid R Mohamed, Robert Newman, and Ole Vejbæk. 2013. “Time-Lapse Seismic Data-Calibrated Geomechanical Model Reveals Hydraulic Fracture Re-Orientation.” In SEG Technical Program Expanded Abstracts 2013, 4949–53. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2013-0947.1.

Herwanger, Jorg, Western Geco, U K Steve Horne, and Electromagnetic Instruments. 2005. “Predicting Time-Lapse Stress Effects in Seismic Data.” Lead. Edge 24 (12): 1234–42. https://doi.org/10.1190/1.2149632.

Herwanger, Jorg, and Steve Horne. 2005. “Predicting Time-Lapse Stress Effects in Seismic Data.” Lead. Edge 24 (12): 1234–42. https://doi.org/10.1190/1.2149632.

Herwanger, J, E Palmer, and C R. Schiøtt. 2007. “Field Observations and Modeling Production-Induced Time-Shifts in 4d Seismic Data at South Arne, Danish North Sea.” In. https://doi.org/10.3997/2214-4609.201401716.

Hibert, C, A Mangeney, G Grandjean, C Baillard, D Rivet, N M Shapiro, C Satriano, et al. 2014. “Automated Identification, Location, and Volume Estimation of Rockfalls at Piton de La Fournaise Volcano.” J. Geophys. Res. Earth Surf. 119 (5): 1082–1105. https://doi.org/10.1002/2013jf002970.

Higham, Nicholas J. 2005. “The Scaling and Squaring Method for the Matrix Exponential Revisited.” SIAM Journal on Matrix Analysis and Applications 26 (4): 1179–93.

Hinton, Geoffrey E, and Ruslan R Salakhutdinov. 2006. “Reducing the Dimensionality of Data with Neural Networks.” Science 313 (5786): 504–7.

Hinton, Geoffrey E, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. 2012. “Improving Neural Networks by Preventing Co-Adaptation of Feature Detectors.” arXiv Preprint arXiv:1207.0580.

Hirose, Akira, and Shotaro Yoshida. 2012. “Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence.” IEEE Transactions on Neural Networks and Learning Systems 23 (4): 541–51. https://doi.org/10.1109/tnnls.2012.2183613.

Ho, Tin Kam. 1995. “Random Decision Forests.” In Proceedings of 3rd International Conference on Document Analysis and Recognition, 1:278–82. Ieee.

Hochreiter, Sepp. 1991. “Untersuchungen Zu Dynamischen Neuronalen Netzen.” Diploma, Technische Universität München 91 (1).

———. 1998. “The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions.” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6 (02): 107–16.

Hochreiter, Sepp, Yoshua Bengio, Paolo Frasconi, Jürgen Schmidhuber, and others. 2001. “Gradient Flow in Recurrent Nets: The Difficulty of Learning Long-Term Dependencies.” A field guide to dynamical recurrent neural networks. IEEE Press.

Hochreiter, Sepp, and Jürgen Schmidhuber. 1997. “Long Short-Term Memory.” Neural Computation 9 (8): 1735–80.

Honorio, J, C Chen, G Gao, K Du, and others. 2015. “Integration of PCA with a Novel Machine Learning Method for Reparameterization and Assisted History Matching Geologically Complex Reservoirs.” SPE Annual Technical. https://www.onepetro.org/conference-paper/SPE-175038-MS.

Hopfield, John J. 1982. “Neural Networks and Physical Systems with Emergent Collective Computational Abilities.” Proceedings of the National Academy of Sciences 79 (8): 2554–58.

Hornik, Kurt, Maxwell Stinchcombe, and Halbert White. 1989. “Multilayer Feedforward Networks Are Universal Approximators.” Neural Netw. 2 (5): 359–66. https://doi.org/10.1016/0893-6080(89)90020-8.

Huang, Gao, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger. 2017. “Densely Connected Convolutional Networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4700–4708.

Huang, K Y, W R I Chang, and H T Yen. 1990. “Self-Organizing Neural Network for Picking Seismic Horizons.” SEG Technical Program Expanded, 313–16. https://library.seg.org/doi/pdf/10.1190/1.1890183.

Huang, Kou-Yuan, William RI Chang, and HT Yen. 1990. “Self-Organizing Neural Network for Picking Seismic Horizons.” In SEG Technical Program Expanded Abstracts 1990, 313–16. Society of Exploration Geophysicists.

Huang, L, X Dong, and T Clee. 2017. “A Scalable Deep Learning Platform for Identifying Geologic Features from Seismic Attributes.” Lead. Edge 36 (3): 249–56. https://doi.org/10.1190/tle36030249.1.

Huang, Xuri. 2001. “Integrating Time-Lapse Seismic with Production Data: A Tool for Reservoir Engineering.” Lead. Edge 20 (10): 1148–53. https://doi.org/10.1190/1.1487247.

Huang, Z, J Shimeld, M Williamson, and J Katsube. 1996. “Permeability Prediction with Artificial Neural Network Modeling in the Venture Gas Field, Offshore Eastern Canada.” Geophysics 61 (2): 422–36. https://doi.org/10.1190/1.1443970.

Hudson, Tom, Bernard Regel, John Bretches, James Rickett, Brian Cerney, and Phil Inderwiesen. 2005. “Genesis Field, Gulf of Mexico, 4-d Project Status and Preliminary Lookback.” In SEG Technical Program Expanded Abstracts 2005, 2436–39. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2148214.

Hui, Tak-Wai, Xiaoou Tang, and Chen Change Loy. 2018. “Liteflownet: A Lightweight Convolutional Neural Network for Optical Flow Estimation.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 8981–89.

Huijbregts, C, and G Matheron. 1970. “Universal Kriging (an Optimal Method for Estimating and Contouring in Trend Surface Analysis): 9th Intern.” Sym. On Decisionmaking in the Mineral Industries (Proceedings to Be Published by Canadian Inst. Mining), Montreal.

Hulbert, Claudia, Bertrand Rouet-Leduc, Christopher X Ren, Jacques Riviere, David C Bolton, Chris Marone, and Paul A Johnson. 2018. “Estimating the Physical State of a Laboratory Slow Slipping Fault from Seismic Signals,” January. http://arxiv.org/abs/1801.07806.

Iacopini, D, R W H Butler, S Purves, N McArdle, and N De Freslon. 2016. “Exploring the Seismic Expression of Fault Zones in 3d Seismic Volumes.” J. Struct. Geol. 89 (August): 54–73. https://doi.org/10.1016/j.jsg.2016.05.005.

Ildstad, Charles Rutherford, and Peter Bormann. 2017. MalenoV_nD (MAchine LEarNing of Voxels) (version d647f07). https://github.com/bolgebrygg/MalenoV.

Ilg, Eddy, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox. 2017. “Flownet 2.0: Evolution of Optical Flow Estimation with Deep Networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2462–70.

Ioffe, Sergey, and Christian Szegedy. 2015. “Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.” arXiv Preprint arXiv:1502.03167.

Iqbal, Haris. 2018. “HarisIqbal88/PlotNeuralNet V1.0.0.” https://doi.org/10.5281/zenodo.2526396.

Isola, Phillip, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 2017. “Image-to-Image Translation with Conditional Adversarial Networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1125–34.

Iturrarán-Viveros, Ursula. 2012. “Smooth Regression to Estimate Effective Porosity Using Seismic Attributes.” J. Appl. Geophys. 76 (January): 1–12. https://doi.org/10.1016/j.jappgeo.2011.10.012.

Iturrarán-Viveros, Ursula, and Jorge O Parra. 2014. “Artificial Neural Networks Applied to Estimate Permeability, Porosity and Intrinsic Attenuation Using Seismic Attributes and Well-Log Data.” J. Appl. Geophys. 107 (August): 45–54. https://doi.org/10.1016/j.jappgeo.2014.05.010.

J. Hatchell, P, P J Hatchell, and S J Bourne. 2006. “Measuring Reservoir Compaction Using Time-Lapse Timeshifts.” In 68th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2006. https://doi.org/10.3997/2214-4609.201402015.

Jafrasteh, B, N Fathianpour, and A Suárez. 2016. “Advanced Machine Learning Methods for Copper Ore Grade Estimation.” Near Surface Geoscience 2016. http://www.earthdoc.org/publication/publicationdetails/?publication=86600.

Jakobsen, F, and C Andersen. 2010. “Late Cretaceous basin development of the southern Danish Central Graben.” Geological Survey of Denmark and Greenland Bulleti 20: 15–18. http://academicpublishingplatforms.com/downloads/pdfs/gsdg/volume1/201112301211{_}GSDG{_}2010{_}1.pdf.

Jakobsen, Finn, and Claus Andersen. 2010. “Late Cretaceous Basin Development of the Southern Danish Central Graben.” Bull. Geol. Soc. Den., 15–18. http://academicpublishingplatforms.com/downloads/pdfs/gsdg/volume1/201112301211_GSDG_2010_1.pdf.

Jannane, M., W. Beydoun, E. Crase, D. Cao, Z. Koren, E. Landa, M. Mendes, et al. 1989. “Wavelengths of earth structures that can be resolved from seismic reflection data.” GEOPHYSICS 54 (7): 906–10. https://doi.org/10.1190/1.1442719.

Janssen, Aaron L, Brackin A Smith, and Grant W Byerley. 2006. “Measuring Velocity Sensitivity to Production-Induced Strain at the Ekofisk Field Using Time-Lapse Time-Shifts and Compaction Logs.” In SEG Technical Program Expanded Abstracts 2006, 3200–3204. Society of Exploration Geophysicists. https://doi.org/10.1190/1.2370195.

Janssen, Aaron L, Brackin A Smith, and Conoco Phillips Norway. n.d. “Measuring Velocity Sensitivity to Production-Induced Strain at the Ekosk Field Using Time-Lapse Time-Shifts and Compaction Logs.”

Jeong, Jina, Eungyu Park, Weon Shik Han, and Kue-Young Kim. 2014. “A Novel Data Assimilation Methodology for Predicting Lithology Based on Sequence Labeling Algorithms.” J. Geophys. Res. [Solid Earth] 119 (10): 7503–20. https://doi.org/10.1002/2014jb011279.

Jewett, Michael AS, Claire Bombardier, Dominique Caron, Michele R Ryan, Robin R Gray, Eugene L St Louis, Stephen J Witchell, Sanjive Kumra, and Kostantinos E Psihramis. 1992. “Potential for Inter-Observer and Intra-Observer Variability in x-Ray Review to Establish Stone-Free Rates After Lithotripsy.” The Journal of Urology 147 (3): 559–62.

Jia, Y, and J Ma. 2017. “What Can Machine Learning Do for Seismic Data Processing? An Interpolation Application.” Geophysics 82 (3): V163–v177. https://doi.org/10.1190/geo2016-0300.1.

Jin, Long, Gottfried Tiller, Daniel Weber, Shipeng Fu, Javier Ferrandis, Paul van den Hoek, Carlos Pirmez, Tope Fehintola, Fidelis Tendo, and Elozino Olaniyan. 2012. “Workflows for Quantitative 4d Seismic Data Integration: A Case Study.” In IPTC 2012: International Petroleum Technology Conference, 1–6.

Jin, L, G Tiller, D Weber, S Fu, J Ferrandis, P Van Den Hoek, C Pirmez, T Fehintola, F Tendo, and E Olaniyan. 2012. “Workflows for Quantitative 4d Seismic Data Integration : A Case Study.” In International Petroleum Technology Conference, 1–6.

Johnston, David H. 2013a. “6. Seismic Processing of 4d Data.” In Practical Applications of Time-Lapse Seismic Data, 103–26. Society of Exploration Geophysicists. https://doi.org/10.1190/1.9781560803126.ch6.

———. 2013b. Practical Applications of Time-Lapse Seismic Data. Society of Exploration Geophysicists. https://doi.org/10.1190/1.9781560803126.

Jordan, M I, and T M Mitchell. 2015. “Machine Learning: Trends, Perspectives, and Prospects.” Science 349 (6245): 255–60. https://doi.org/10.1126/science.aaa8415.

Jumper, John, Kathryn Tunyasuvunakool, Pushmeet Kohli, Demis Hassabis, and AlphaFold Team. 2020. “Computational Predictions of Protein Structures Associated with COVID-19.” DeepMind website. https://deepmind.com/research/open-source/computational-predictions-of-protein-structures-associated-with-COVID-19.

Kadurin, Artur, Sergey Nikolenko, Kuzma Khrabrov, Alex Aliper, and Alex Zhavoronkov. 2017. “druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico.” Mol. Pharm. 14 (9): 3098–3104. https://doi.org/10.1021/acs.molpharmaceut.7b00346.

Karpatne, Anuj, William Watkins, Jordan Read, and Vipin Kumar. 2017. “Physics-Guided Neural Networks (Pgnn): An Application in Lake Temperature Modeling.” arXiv Preprint arXiv:1710.11431.

Karra, S, D O’Malley, J D Hyman, H S Viswanathan, and G Srinivasan. 2018. “Modeling Flow and Transport in Fracture Networks Using Graphs.” Phys Rev E 97 (3-1): 033304. https://doi.org/10.1103/PhysRevE.97.033304.

Kelley, Henry J. 1960. “Gradient Theory of Optimal Flight Paths.” Ars Journal 30 (10): 947–54.

Kendall, Alex, Yarin Gal, and Roberto Cipolla. 2018. “Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 7482–91.

Kenter. 2004. “Geomechanics and 4d : Evaluation of Reservoir Characteristics from Timeshifts in the Overburden.”

Kern, Ashley N, Priscilla Addison, Thomas Oommen, Sean E Salazar, and Richard A Coffman. 2017. “Machine Learning Based Predictive Modeling of Debris Flow Probability Following Wildfire in the Intermountain Western United States.” Math. Geosci. 49 (6): 717–35. https://doi.org/10.1007/s11004-017-9681-2.

Khoshnevis, N, and R Taborda. 2018. “Prioritizing Ground-Motion Validation Metrics Using Semisupervised and Supervised Learning.” Bull. Seismol. Soc. Am. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/108/4/2248/536309.

Kilic, Gokhan, and Levent Eren. 2018. “Neural Network Based Inspection of Voids and Karst Conduits in Hydro–Electric Power Station Tunnels Using GPR.” J. Appl. Geophys. 151 (April): 194–204. https://doi.org/10.1016/j.jappgeo.2018.02.026.

Kim, Byungju, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, and Junmo Kim. 2019. “Learning Not to Learn: Training Deep Neural Networks with Biased Data.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 9012–20.

Kingma, Diederik P, and Jimmy Ba. 2014. “Adam: A Method for Stochastic Optimization.” arXiv Preprint arXiv:1412.6980.

Kingma, Diederik P, and Max Welling. 2013. “Auto-Encoding Variational Bayes.” arXiv Preprint arXiv:1312.6114.

Kingma, Durk P, Tim Salimans, and Max Welling. 2015. “Variational Dropout and the Local Reparameterization Trick.” In Advances in Neural Information Processing Systems, 2575–83.

Kish, Leslie. 1965. Survey Sampling. 04; Hn29, K5.

Klein, Stefan, Marius Staring, Keelin Murphy, Max A Viergever, and Josien PW Pluim. 2009. “Elastix: A Toolbox for Intensity-Based Medical Image Registration.” IEEE Transactions on Medical Imaging 29 (1): 196–205.

Klinkby, L, L Kristensen, E. B Nielsen, K Zinck-Jørgensen, and L Stemmerik. 2005b. “Mapping and characterization of thin chalk reservoirs using data integration: the Kraka Field, Danish North Sea.” Petroleum Geoscience 11 (2): 113–24. https://doi.org/10.1144/1354-079304-632.

Klinkby, L, L Kristensen, E B Nielsen, K Zinck-Jørgensen, and L Stemmerik. 2005a. “Mapping and Characterization of Thin Chalk Reservoirs Using Data Integration: The Kraka Field, Danish North Sea.” Pet. Geosci. 11 (2): 113–24. https://doi.org/10.1144/1354-079304-632.

Klose, Christian D. 2006. “Self-Organizing Maps for Geoscientific Data Analysis: Geological Interpretation of Multidimensional Geophysical Data.” Computational Geosciences 10 (3): 265–77. https://doi.org/10.1007/s10596-006-9022-x.

Koch, Gregory, Richard Zemel, and Ruslan Salakhutdinov. 2015. “Siamese Neural Networks for One-Shot Image Recognition.” In ICML Deep Learning Workshop. Vol. 2. Lille.

Kohonen, Teuvo. 1982. “Self-Organized Formation of Topologically Correct Feature Maps.” Biological Cybernetics 43 (1): 59–69.

Kolmogorov, Andrei Nikolaevitch. 1939. “Sur l’interpolation Et Extrapolation Des Suites Stationnaires.” CR Acad Sci 208: 2043–45.

Kong, Qingkai, Daniel T Trugman, Zachary E Ross, Michael J Bianco, Brendan J Meade, and Peter Gerstoft. 2019. “Machine Learning in Seismology: Turning Data into Insights.” Seismological Research Letters 90 (1): 3–14.

Koster, Klaas, Pieter Gabriels, Matthias Hartung, John Verbeek, Geurt Deinum, and Rob Staples. 2000. “Time-Lapse Seismic Surveys in the North Sea and Their Business Impact.” Lead. Edge 19 (3): 286–93. https://doi.org/10.1190/1.1438594.

Kratzert, Frederik, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, and Grey Nearing. 2019. “Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling.” arXiv Preprint arXiv:1907.08456.

Kreimer, Nadia, and Mauricio D. Sacchi. 2012. “A tensor higher-order singular value decomposition for prestack seismic data noise reduction and interpolation.” GEOPHYSICS 77 (3): V113–22. https://doi.org/10.1190/geo2011-0399.1.

Krige, D G. 1951. “A Statistical Approach to Some Mine Valuation and Allied Problems on the Witwatersrand.” PhD thesis, Johannesburg: Univ. of the Witwatersrand.

Krischer, Lion, and Andreas Fichtner. 2017. “Generating Seismograms with Deep Neural Networks.” Agufm 2017: S41d–03.

Krishnan, Rahul G, Uri Shalit, and David Sontag. 2015. “Deep Kalman Filters.” arXiv Preprint arXiv:1511.05121.

Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E Hinton. 2012a. “ImageNet Classification with Deep Convolutional Neural Networks.” In Advances in Neural Information Processing Systems 25, edited by F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, 1097–1105. Curran Associates, Inc. http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf.

———. 2012b. “ImageNet Classification with Deep Convolutional Neural Networks.” In Advances in Neural Information Processing Systems 25, edited by F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, 1097–1105. Curran Associates, Inc. http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf.

———. 2012c. “Imagenet Classification with Deep Convolutional Neural Networks.” In Advances in Neural Information Processing Systems, 1097–1105.

Krogh, Anders, and John A Hertz. 1992. “A Simple Weight Decay Can Improve Generalization.” In Advances in Neural Information Processing Systems, 950–57.

Krumbein, William Christian, and Michael F Dacey. 1969. “Markov Chains and Embedded Markov Chains in Geology.” Journal of the International Association for Mathematical Geology 1 (1): 79–96.

Kuehn, N M, C Riggelsen, and others. 2011. “Modeling the Joint Probability of Earthquake, Site, and Ground-Motion Parameters Using Bayesian Networks.” Bulletin of the. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/101/1/235/349494.

Kuehn, N M, and F Scherbaum. 2010. “A Naive Bayes Classifier for Intensities Using Peak Ground Velocity and Acceleration.” Bull. Seismol. Soc. Am. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/100/6/3278/325392.

Kuhn, Stephen, Matthew Cracknell, and Anya Reading. 2018. “The Utility of Machine Learning in Identification of Key Geophysical and Geochemical Datasets: A Case Study in Lithological Mapping in the Central African Copper Belt.” ASEG Extended Abstracts 2018 (1): 1–4. https://doi.org/10.1071/aseg2018abt7_3g.

Kuroda, Michelle Chaves, Alexandre Campane Vidal, and João Paulo Papa. 2016. “Analysis of Porosity, Stratigraphy, and Structural Delineation of a Brazilian Carbonate Field by Machine Learning Techniques: A Case Study.” Interpretation 4 (3): T347–t358. https://doi.org/10.1190/int-2016-0024.1.

Kuzma, Heidi Anderson. 2003. “A Support Vector Machine for Avo Interpretation.” In SEG Technical Program Expanded Abstracts 2003, 181–84. Society of Exploration Geophysicists.

Kvalsvik, Jørgen, and Contributors. 2019. SegyIO (version 1.8.6). https://github.com/equinor/segyio/.

Laake, Andreas. 2014. “Structural Interpretation in Color–a New RGB Processing Application for Seismic Data.” Interpretation 3 (1): Sc1–sc8.

Lafet, Y, B Roure, P M Doyen, and H Buran. 2009. “Global 4d Seismic Inversion and Time-Lapse Fluid Classification.” In SEG Technical Program Expanded Abstracts 2009, 3830–34. Society of Exploration Geophysicists. https://doi.org/10.1190/1.3255666.

Lafond, Kim, Lars Malcolm Pedersen, and Lars Bo Christiansen. 2010. “FAST Optimization of Line-Drive Water Injection.” In SPE EUROPEC/EAGE Annual Conference and Exhibition, 1–16. Society of Petroleum Engineers. https://doi.org/10.2118/130471-ms.

Laloy, Eric, Romain Hérault, Diederik Jacques, and Niklas Linde. 2017. “Efficient Training-Image Based Geostatistical Simulation and Inversion Using a Spatial Generative Adversarial Neural Network,” August. http://arxiv.org/abs/1708.04975.

Landa, J L, and D Kumar. 2011. “Joint Inversion of 4d Seismic and Production Data.” SPE Annual Technical Conference and Exhibition, no. November: 1–17.

Landa, Kumar. 2011. “Joint Inversion of 4d Seismic and Production Data.pdf.”

Landro, M, O a Solheim, E Hilde, B O Ekren, and L K Stronen. 1999. “The Gullfaks 4d Seismic Study.” Pet. Geosci. 5 (3): 213–26. https://doi.org/10.1144/petgeo.5.3.213.

Landrø, M. 1999. “Repeatability Issues of 3-D VSP Data.” Geophysics 64 (6): 1673–79. https://doi.org/10.1190/1.1444671.

———. 2011. “Seismic Monitoring of an Old Underground Blowout – 20 Years Later.” First Break 29 (1791). https://doi.org/10.3997/1365-2397.2011017.

Landrø, Martin. 2001a. “Discrimination Between Pressure and Fluid Saturation Changes from Time-Lapse Seismic Data.” Geophysics 66 (3): 836–44.

———. 2001b. “Discrimination Between Pressure and Fluid Saturation Changes from Time-Lapse Seismic Data.” Geophysics 66 (3): 836–44. https://doi.org/10.1190/1.1444973.

———. 2015. “4d Seismic.” In Petroleum Geoscience, 489–514. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34132-8_19.

Landrø, Martin, Helene Hafslund Veire, Kenneth Duffaut, and Nazih Najjar. 2003. “Discrimination Between Pressure and Fluid Saturation Changes from Marine Multicomponent Time-Lapse Seismic Data.” Geophysics 68 (5): 1592–99. https://doi.org/10.1190/1.1620633.

Landrø, M, and P Hatchell. 2012. “Normal Modes in Seismic Data — Revisited.” Geophysics 77 (4): W27–w40. https://doi.org/10.1190/geo2011-0094.1.

Landrø, M, and J Stammeijer. 2004. “Quantitative Estimation of Compaction and Velocity Changes Using 4d Impedance and Traveltime Changes.” Geophysics 69 (4): 949–57. https://doi.org/10.1190/1.1778238.

Landwehr, N, N M Kuehn, T Scheffer, and others. 2016. “A Nonergodic Ground-Motion Model for California with Spatially Varying Coefficients.” Bulletin of the. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/106/6/2574/324828.

Langer, H, S Falsaperla, and others. 2003. “Application of Artificial Neural Networks for the Classification of the Seismic Transients at Soufriere Hills Volcano, Montserrat.” Geophys. Res. Lett. https://onlinelibrary.wiley.com/doi/abs/10.1029/2003GL018082.

Langer, Horst, Giuseppe Nunnari, and Luigi Occhipinti. 1996. “Estimation of Seismic Waveform Governing Parameters with Neural Networks.” J. Geophys. Res. 101 (B9): 20109–18. https://doi.org/10.1029/96jb00948.

Lary, David J, Amir H Alavi, Amir H Gandomi, and Annette L Walker. 2016. “Machine Learning in Geosciences and Remote Sensing.” Geoscience Frontiers 7 (1): 3–10. https://doi.org/10.1016/j.gsf.2015.07.003.

Le Bouteiller, P, J Charléty, F Delprat-Jannaud, D Granjeon, and C Gorini. 2018. “Mixing Unsupervised and Knowledge-Based Analysis for Heterogeneous Object Delineation in Seismic Data.” In 80th EAGE Conference and Exhibition 2018. earthdoc.org. http://www.earthdoc.org/publication/publicationdetails/?publication=92121.

Lecun, Yann. 1989. “Generalization and network design strategies.” In Connectionism in Perspective, edited by R. Pfeifer, Z. Schreter, F. Fogelman, and L. Steels. Elsevier. http://yann.lecun.com/exdb/publis/pdf/lecun-89.pdf.

LeCun, Yann A, Léon Bottou, Genevieve B Orr, and Klaus-Robert Müller. 2012. “Efficient Backprop.” In Neural Networks: Tricks of the Trade, 9–48. Springer.

LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. 2015. “Deep Learning.” Nature 521 (7553): 436–44.

LeCun, Yann, Patrick Haffner, Léon Bottou, and Yoshua Bengio. 1999. “Object Recognition with Gradient-Based Learning.” In Shape, Contour and Grouping in Computer Vision, 319–45. Springer.

Legendre, Adrien Marie. 1805. Nouvelles méthodes Pour La détermination Des Orbites Des Comètes. F. Didot.

Legget, M, W A Sandham, and T S Durrani. 1996. “3d Horizon Tracking Using Artificial Neural Networks.” First Break. http://www.earthdoc.org/publication/publicationdetails/?publication=28049.

Leggett, Miles, William A Sandham, and Tariq S Durrani. 2003. “Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networks.” In Geophysical Applications of Artificial Neural Networks and Fuzzy Logic, edited by William A Sandham and Miles Leggett, 31–44. Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-94-017-0271-3_3.

Lewis, W, and D Vigh. 2017. “Deep Learning Prior Models from Seismic Images for Full-Waveform Inversion.” In SEG Technical Program Expanded Abstracts 2017, 1512–17. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17627643.1.

Li, Guohe, Yinghan Qiao, Yifeng Zheng, Ying Li, and Weijiang Wu. 2019. “Semi-Supervised Learning Based on Generative Adversarial Network and Its Applied to Lithology Recognition.” IEEE Access 7: 67428–37.

Li, Jiakang, and John Castagna. 2004. “Support Vector Machine (SVM) Pattern Recognition to AVO Classification.” Geophys. Res. Lett. 31 (2): 948. https://doi.org/10.1029/2003gl018299.

Li, L, X W Li, Z Wan, Y Liu, and L Zhang. 2018. “Multiscale Pre-Stack Seismic Attribute Enhancement Using Radial Basis Function Network.” 80th EAGE Conference and. http://www.earthdoc.org/publication/publicationdetails/?publication=92122.

Libin, Zhang, Zou Zhen, Cao Sheng, Ling Yun, and Wu Tao. 2014. “Repeatability Analysis and Reconstruction of Towed Streamer 4d Seismic Data.” In SEG Technical Program Expanded Abstracts 2014, 4930–34. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2014-0731.1.

Lin, Min, Qiang Chen, and Shuicheng Yan. 2013. “Network in Network.” arXiv Preprint arXiv:1312.4400.

Lin, Tsung-Yi, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. 2017. “Focal Loss for Dense Object Detection.” arXiv Preprint arXiv:1708.02002.

Lin, Y, G Guthrie, D Coblentz, S Wang, and J Thiagarajan. 2017. “Towards Real-Time Geologic Feature Detection from Seismic Measurements Using a Randomized Machine-Learning Algorithm.” In SEG Technical Program Expanded Abstracts 2017, 2143–48. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17775517.1.

Lindelow-Marsden, C, and L Jensen. 2013. “Using 4d Seismic to Validate the Geomodel for the South Arne Chalk Field.” SPE Reservoir …, no. September: 16–18. http://www.onepetro.org/mslib/servlet/onepetropreview?id=SPE-166022-MS.

Lindsay, Bruce G. 1995. “Mixture Models: Theory, Geometry and Applications.” In NSF-CBMS Regional Conference Series in Probability and Statistics, i–163. JSTOR.

Liner, Christopher L. 2002. “Phase, Phase, Phase.” The Leading Edge 21 (5): 456–57. https://doi.org/10.1190/1.1885500.

Ling, L. 1994. “Hydrocarbon Detection Using Self-Organizing Mapping [j].” Geophysical Prospecting For Petrole. http://en.cnki.com.cn/Article_en/CJFDTOTAL-SYWT199404006.htm.

Linnainmaa, Seppo. 1970. “The Representation of the Cumulative Rounding Error of an Algorithm as a Taylor Expansion of the Local Rounding Errors.” Master’s Thesis (in Finnish), Univ. Helsinki, 6–7.

Liu, E, M Chapman, N Loizou, and X Li. 2006. “Reducing Risk and Monitoring Water Injection Using Time-Lapse (4d) Seismic at the Ekofisk Field.” In SEG/New Orleans 2006 Annual Meeting, 279–83.

Liu, Mingliang, Weichang Li, Michael Jervis, and Philippe Nivlet. 2019. “3d Seismic Facies Classification Using Convolutional Neural Network and Semi-Supervised Generative Adversarial Network.” In SEG Technical Program Expanded Abstracts 2019, 4995–99. Society of Exploration Geophysicists.

Liu, Xiaodong, Pengcheng He, Weizhu Chen, and Jianfeng Gao. 2019. “Multi-Task Deep Neural Networks for Natural Language Understanding.” arXiv Preprint arXiv:1901.11504.

Liu, Yexin, Zhuoheng Chen, Liqun Wang, Yongshu Zhang, Zhiqiang Liu, and Yanhua Shuai. 2015. “Quantitative Seismic Interpretations to Detect Biogenic Gas Accumulations: A Case Study from Qaidam Basin, China.” Bull. Can. Petrol. Geol. 63 (1): 108–21. https://doi.org/10.2113/gscpgbull.63.1.108.

Liu, Yue, Kefa Zhou, and Qinglin Xia. 2018. “A MaxEnt Model for Mineral Prospectivity Mapping.” Nat. Resour. Res. 27 (3): 299–313. https://doi.org/10.1007/s11053-017-9355-2.

Liu, Yue, Kefa Zhou, Nannan Zhang, and Jinlin Wang. 2018. “Maximum Entropy Modeling for Orogenic Gold Prospectivity Mapping in the Tangbale-Hatu Belt, Western Junggar, China.” Ore Geol. Rev. 100 (September): 133–47. https://doi.org/10.1016/j.oregeorev.2017.04.029.

Liu, Z, C Song, H Cai, X Yao, and G Hu. 2017. “Enhanced Coherence Using Principal Component Analysis.” Interpretation 5 (3): T351–t359. https://doi.org/10.1190/int-2016-0194.1.

Londoño, John Makario, and Hiroyuki Kumagai. 2018. “4d Seismic Tomography of Nevado Del Ruiz Volcano, Colombia, 2000–2016.” Journal of Volcanology and Geothermal Research 358: 105–23.

Long, Jonathan, Evan Shelhamer, and Trevor Darrell. 2015. “Fully Convolutional Networks for Semantic Segmentation.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431–40.

Lu, L, Y Zhang, and D Hohl. 2017b. “Advanced Machine Learning for Unconventional Plays.” 79th EAGE Conference and Exhibition 2017. http://www.earthdoc.org/publication/publicationdetails/?publication=89284.

———. 2017a. “Advanced Machine Learning for Unconventional Plays.” 79th EAGE Conference and Exhibition 2017. http://www.earthdoc.org/publication/publicationdetails/?publication=89284.

Lu, Ping, Matt Morris, Seth Brazell, Cody Comiskey, and Yuan Xiao. 2018. “Using Generative Adversarial Networks to Improve Deep-Learning Fault Interpretation Networks.” The Leading Edge 37 (8): 578–83.

Lukasz Kaiser, Noam Shazeer, Aidan N. Gomez. 2017. “One Model To Learn Them All.” CoRR abs/1706.05137. http://arxiv.org/abs/1706.05137.

Lumley, D E, and R A Behrens. 1998. “Practical Issues of 4d Seismic Reservoir Monitoring: What an Engineer Needs to Know.” SPE Reserv. Eval. Eng. 1 (6): 528–38. https://doi.org/10.2118/53004-pa.

Lumley, David E. 1995a. “4-d Seismic Monitoring of an Active Steamflood.” In SEG Technical Program Expanded Abstracts 1995, 203–6. Society of Exploration Geophysicists.

———. 1995b. Seismic Time-Lapse Monitoring of Subsurface Fluid Flow. 91. Stanford University.

———. 2001. “Time-Lapse Seismic Reservoir Monitoring.” Geophysics 66 (1): 50–53. https://doi.org/10.1190/1.1444921.

Lumley, David E, Ronald a Behrens, and Zhijing Wang. 1997. “Assessing the Technical Risk of a 4-D Seismic Project.” Lead. Edge 16 (9): 1287–92. https://doi.org/10.1190/1.1437784.

Lumley, D, A Nur, S Strandenes, Norsk Hydro, J Dvorkin, and J Packwood. 1994. “Seismic Monitoring of Oil Production: A Feasibility Study.” In SEG Technical Program Expanded Abstracts 1994, 319–22. Society of Exploration Geophysicists.

Lundberg, Scott M, and Su-In Lee. 2017a. “A Unified Approach to Interpreting Model Predictions.” In Advances in Neural Information Processing Systems 30, edited by I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, 4765–74. Curran Associates, Inc.

———. 2017b. “A Unified Approach to Interpreting Model Predictions.” In Advances in Neural Information Processing Systems 30, edited by I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, 4765–74. Curran Associates, Inc. http://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf.

Lundberg, Scott M, Bala Nair, Monica S Vavilala, Mayumi Horibe, Michael J Eisses, Trevor Adams, David E Liston, et al. 2018. “Explainable Machine-Learning Predictions for the Prevention of Hypoxaemia During Surgery.” Nature Biomedical Engineering 2 (10): 749–60.

Luo, Xiong, Wenwen Zhou, Weiping Wang, Yueqin Zhu, and Jing Deng. 2017. “Attention-Based Relation Extraction with Bidirectional Gated Recurrent Unit and Highway Network in the Analysis of Geological Data.” IEEE Access 6: 5705–15.

Ma, J, Z Jiang, Q Tian, and G D Couples. 2012. “Classification of Digital Rocks by Machine Learning.” ECMOR XIII-13th European. http://www.earthdoc.org/publication/publicationdetails/?publication=62262.

Maas, Christian, and Jörg Schmalzl. 2013. “Using Pattern Recognition to Automatically Localize Reflection Hyperbolas in Data from Ground Penetrating Radar.” Comput. Geosci. 58 (August): 116–25. https://doi.org/10.1016/j.cageo.2013.04.012.

Maaø, Frank, Roger Sollie, and Ketil Hokstad. 2000. “Prestack Calibration of Time-Lapse Seismic Data.” In SEG Technical Program Expanded Abstracts 2000, 2150–53. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1815875.

MacBeth, Colin. 2004. “Deconvolving Permeability from Time-Lapsed Seismic Data.” In SEG Technical Program Expanded Abstracts 2004, 2291–94. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1843312.

MacBeth, Colin, Romain Chassagne, and Jesper Sören Dramsch. 2018. “A Guided Discussion on Machine Learning for 4d QI.” ETLP Sponsor Meeting 2018.

MacBeth, Colin, Mariano Floricich, and Juan Soldo. 2006. “Going Quantitative with 4d Seismic Analysis.” Geophysical Prospecting 54 (3): 303–17.

MacBeth, Colin, Maria-Daphne Mangriotis, and Hamed Amini. 2019. “Post-Stack 4d Seismic Time-Shifts: Interpretation and Evaluation.” Geophysical Prospecting 67 (1): 3–31.

Maerten, Laurent, Frantz Maerten, Mostfa Lejri, and Paul Gillespie. 2016. “Geomechanical Paleostress Inversion Using Fracture Data.” J. Struct. Geol., June. https://doi.org/10.1016/j.jsg.2016.06.007.

Maestrelli, Daniele, Ali Jihad, David Iacopini, and Clare Bond. 2016. “Seismic Texture and Amplitude Analysis of Large Scale Fluid Escape Pipes Using Time Lapses Seismic Surveys: Examples from the Loyal Field (Scotland, UK).” In EGU General Assembly Conference Abstracts, 18:17054. http://adsabs.harvard.edu/abs/2016EGUGA..1817054M.

Maggi, Alessia, Valérie Ferrazzini, Clément Hibert, François Beauducel, Patrice Boissier, and Amandine Amemoutou. 2017. “Implementation of a Multistation Approach for Automated Event Classification at Piton de La Fournaise Volcano.” Seismol. Res. Lett. 88 (3): 878–91. https://doi.org/10.1785/0220160189.

Mahajan, Dhruv, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten. 2018. “Exploring the Limits of Weakly Supervised Pretraining.” In Proceedings of the European Conference on Computer Vision (ECCV), 181–96.

Maiti, Saumen, and Ram Krishna Tiwari. 2010. “Neural Network Modeling and an Uncertainty Analysis in Bayesian Framework: A Case Study from the KTB Borehole Site.” J. Geophys. Res. 115 (B10): E67. https://doi.org/10.1029/2010jb000864.

Malfante, M, M Dalla Mura, J Metaxian, J I Mars, O Macedo, and A Inza. 2018. “Machine Learning for Volcano-Seismic Signals: Challenges and Perspectives.” IEEE Signal Process. Mag. 35 (2): 20–30. https://doi.org/10.1109/msp.2017.2779166.

Mardan, A, A Javaherian, and others. 2017. “Channel Characterization Using Support Vector Machine.” 79th EAGE Conference. http://www.earthdoc.org/publication/publicationdetails/?publication=89283.

Marjanović, Miloš, Miloš Kovačević, Branislav Bajat, and Vı́t Voženı́lek. 2011. “Landslide Susceptibility Assessment Using SVM Machine Learning Algorithm.” Eng. Geol. 123 (3): 225–34. https://doi.org/10.1016/j.enggeo.2011.09.006.

Markov, Andrei Andreevich. 1906. “Rasprostranenie Zakona Bol’shih Chisel Na Velichiny, Zavisyaschie Drug Ot Druga.” Izvestiya Fiziko-Matematicheskogo Obschestva Pri Kazanskom Universitete 15 (135-156): 18.

Markov, Andrey Andreyevich. 1971. “Extension of the Limit Theorems of Probability Theory to a Sum of Variables Connected in a Chain.” Dynamic Probabilistic Systems 1: 552–77.

Marroquı́n, I. 2013. “A Knowledge-Integration Framework for Interpreting Seismic Facies Classifications.” In SEG Technical Program Expanded Abstracts 2013, 2464–69. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2013-0188.1.

———. 2014. “A Knowledge-Integration Framework for Interpreting Seismic Facies.” Interpretation 2 (1): Sa1–sa9. https://doi.org/10.1190/int-2013-0057.1.

Martin, Kylara M, Warren T Wood, and Joseph J Becker. 2015. “A Global Prediction of Seafloor Sediment Porosity Using Machine Learning.” Geophys. Res. Lett. 42 (24): 10, 640–10, 646. https://doi.org/10.1002/2015gl065279.

Martinelli, G, J Eidsvik, R Sinding-Larsen, and others. 2013. “Building Bayesian Networks from Basin-Modelling Scenarios for Improved Geological Decision Making.” Petroleum. http://pg.lyellcollection.org/content/early/2013/06/24/petgeo2012-057.abstract.

Masotti, M, R Campanini, L Mazzacurati, S Falsaperla, H Langer, and S Spampinato. 2008. “TREMOrEC: A Software Utility for Automatic Classification of Volcanic Tremor.” Geochem. Geophys. Geosyst. 9 (4). https://doi.org/10.1029/2007gc001860.

Masotti, M, S Falsaperla, H Langer, S Spampinato, and R Campanini. 2006. “Application of Support Vector Machine to the Classification of Volcanic Tremor at Etna, Italy.” Geophys. Res. Lett. 33 (20): 113. https://doi.org/10.1029/2006gl027441.

Matalas, Nicholas C. 1967. “Mathematical Assessment of Synthetic Hydrology.” Water Resources Research 3 (4): 937–45.

Matheron, Georges. 1963. “Principles of Geostatistics.” Economic Geology 58 (8): 1246–66.

Matheron, Georges, and others. 1981. “Splines and Kriging; Their Formal Equivalence.”

Mavko, Gary, Tapan Mukerji, and Jack Dvorkin. 2003. “The Rock Physics Handbook.” In.

McClinton, T, S M White, A Colman, and others. 2013. “Reconstructing Lava Flow Emplacement Processes at the Hot Spot-Affected Galápagos Spreading Center, 95 W and 92 W.” Geochem. Explor. Environ. Analy. https://onlinelibrary.wiley.com/doi/abs/10.1002/ggge.20157.

McCormack, M. 1991. “Neural Computing in Geophysics.” Lead. Edge 10 (1): 11–15. https://doi.org/10.1190/1.1436771.

McCormack, M D, D E Zaucha, and D W Dushek. 1993. “First-Break Refraction Event Picking and Seismic Data Trace Editing Using Neural Networks.” Geophysics. https://library.seg.org/doi/abs/10.1190/1.1443352.

McErlean, Aoife, David M. Panicek, Emily C. Zabor, Chaya S. Moskowitz, Richard Bitar, Robert J. Motzer, Hedvig Hricak, and Michelle S. Ginsberg. 2013. “Intra- and Interobserver Variability in CT Measurements in Oncology.” Radiology 269 (2): 451–59. https://doi.org/10.1148/radiol.13122665.

McKinney, Wes, and others. 2010. “Data Structures for Statistical Computing in Python.” In Proceedings of the 9th Python in Science Conference, 445:51–56. Austin, TX.

Mehri, Soroush, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, and Yoshua Bengio. 2016. “SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.” CoRR abs/1612.07837. http://arxiv.org/abs/1612.07837.

Meier, U, A Curtis, and J Trampert. 2007. “Fully Nonlinear Inversion of Fundamental Mode Surface Waves for a Global Crustal Model.” Geophys. Res. Lett. 34 (16): 151. https://doi.org/10.1029/2007gl030989.

Meier, Ueli, Andrew Curtis, and Jeannot Trampert. 2007. “Global Crustal Thickness from Neural Network Inversion of Surface Wave Data.” Geophys. J. Int. 169 (2): 706–22. https://doi.org/10.1111/j.1365-246X.2007.03373.x.

Meister, Simon, Junhwa Hur, and Stefan Roth. 2018. “UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss.” In Thirty-Second AAAI Conference on Artificial Intelligence.

Meldahl, P, R Heggland, B Bril, and P de Groot. 2001. “Identifying Faults and Gas Chimneys Using Multiattributes and Neural Networks.” Lead. Edge 20 (5): 474–82. https://doi.org/10.1190/1.1438976.

Mertens, L, R Persico, L Matera, and others. 2016. “Automated Detection of Reflection Hyperbolas in Complex GPR Images with No a Priori Knowledge on the Medium.” IEEE Transactions on. https://ieeexplore.ieee.org/abstract/document/7230274/.

Mezghani, M, A Fornel, V Langlais, and N Lucet. 2004. “History Matching and Quantitative Use of 4d Seismic Data for an Improved Reservoir Characterization.” In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. https://doi.org/10.2118/90420-ms.

Micksch, U, I. H Herbert, A. J Cherrett, H Roende, M. A Calvert, and J Zaske. 2014a. “Integrated 4D Inversion Approach in Danish Chalk Fields.” In 76th EAGE Conference and Exhibition 2014. Tu G102 01. Amsterdam: EAGE. http://www.earthdoc.org/publication/publicationdetails/?publication=75628.

———. 2014c. “Integrated 4D Inversion Approach in Danish Chalk Fields.” In 76th EAGE Conference and Exhibition 2014. Tu G102 01. Amsterdam: EAGE. http://www.earthdoc.org/publication/publicationdetails/?publication=75628.

Micksch, U, I H Herbert, A J Cherrett, H Roende, M A Calvert, and J Zaske. 2014b. “Integrated 4d Inversion Approach in Danish Chalk Fields.” In 76th EAGE Conference and Exhibition 2014. Amsterdam: EAGE. http://www.earthdoc.org/publication/publicationdetails/?publication=75628.

Micksch, U, IH Herbert, AJ Cherrett, H Roende, MA Calvert, and J Zaske. 2014d. “Integrated 4d Inversion Approach in Danish Chalk Fields.” In 76th EAGE Conference and Exhibition 2014.

Mignan, Arnaud, and Marco Broccardo. 2019a. “A Deeper Look into ‘Deep Learning of Aftershock Patterns Following Large Earthquakes’: Illustrating First Principles in Neural Network Physical Interpretability.” In International Work-Conference on Artificial Neural Networks, 3–14. Springer.

———. 2019b. “One Neuron Versus Deep Learning in Aftershock Prediction.” Nature 574 (7776): E1–e3.

Mihanović, H, S Cosoli, I Vilibić, and others. 2011. “Surface Current Patterns in the Northern Adriatic Extracted from High-Frequency Radar Data Using Self-Organizing Map Analysis.” Journal of. https://onlinelibrary.wiley.com/doi/abs/10.1029/2011JC007104.

Miller, J, J J Thiagarajan, P T Bremer, N Hoda, D Stern, and others. 2016. “Data-Driven Metric Learning for History Matching.” https://www.osti.gov/servlets/purl/1345314.

Miller, Michael I, Alain Trouvé, and Laurent Younes. 2015. “Hamiltonian Systems and Optimal Control in Computational Anatomy: 100 Years Since d’arcy Thompson.” Annual Review of Biomedical Engineering 17: 447–509.

Minkoff, S, C Stone, S Bryant, and M Peszynska. 2004. “Coupled Geomechanics and Flow Simulation for Time-Lapse Seismic Modeling.” Geophysics 69 (1): 200–211. https://doi.org/10.1190/1.1649388.

Minkoff, Susan E, Charles M Stone, J Guadalupe Arguello, Steve Bryant, Joe Eaton, Malgo Peszynska, and Mary Wheeler. 1999. “Coupled Geomechanics and Flow Simulation for Time‐lapse Seismic Modeling.” In SEG Technical Program Expanded Abstracts 1999, 1667–70. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1820852.

Mitchell, Tom M, and others. 1997. “Machine Learning.” McGraw-hill New York.

Miyauchi, Minami, Masatoshi Seki, Akira Watanabe, and Arata Miyauchi. 1993. “Interpretation of Optical Flow Through Complex Neural Network.” In New Trends in Neural Computation, 645–50. Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-56798-4_215.

Mjolsness, E, and D DeCoste. 2001. “Machine Learning for Science: State of the Art and Future Prospects.” Science 293 (5537): 2051–55. https://doi.org/10.1126/science.293.5537.2051.

Modarres, Mohammad Hadi, Rossella Aversa, Stefano Cozzini, Regina Ciancio, Angelo Leto, and Giuseppe Piero Brandino. 2017. “Neural Network for Nanoscience Scanning Electron Microscope Image Recognition.” Scientific Reports 7 (1): 13282.

Mora, Peter. 1989. “Inversion = migration + tomography.” GEOPHYSICS 54 (12): 1575–86. https://doi.org/10.1190/1.1442625.

Morales-Esteban, A, F Martı́nez-Álvarez, and J Reyes. 2013. “Earthquake Prediction in Seismogenic Areas of the Iberian Peninsula Based on Computational Intelligence.” Tectonophysics 593 (May): 121–34. https://doi.org/10.1016/j.tecto.2013.02.036.

Mosser, L, W Kimman, J Dramsch, S Purves, and others. 2018. “Rapid Seismic Domain Transfer: Seismic Velocity Inversion and Modeling Using Deep Generative Neural Networks.” EAGE Conference and …, June. https://doi.org/10.3997/2214-4609.201800734.

Mosser, L, R Oliveira, and M Steventon. 2019. “Probabilistic Seismic Interpretation Using Bayesian Neural Networks.” In 81st EAGE Conference and Exhibition 2019, 2019:1–5. 1. European Association of Geoscientists & Engineers.

Mosser, Lukas, Olivier Dubrule, and Martin J Blunt. 2017. “Reconstruction of Three-Dimensional Porous Media Using Generative Adversarial Neural Networks.” Phys Rev E 96 (4-1): 043309. https://doi.org/10.1103/PhysRevE.96.043309.

———. 2018a. “Conditioning of Three-Dimensional Generative Adversarial Networks for Pore and Reservoir-Scale Models,” February. http://arxiv.org/abs/1802.05622.

———. 2018b. “Stochastic Seismic Waveform Inversion Using Generative Adversarial Networks as a Geological Prior.” Mathematical Geosciences 52 (1): 53–79. http://arxiv.org/abs/1806.03720.

———. 2018c. “Stochastic Reconstruction of an Oolitic Limestone by Generative Adversarial Networks.” Transp. Porous Media 125 (1): 81–103. https://doi.org/10.1007/s11242-018-1039-9.

———. 2020. “Stochastic Seismic Waveform Inversion Using Generative Adversarial Networks as a Geological Prior.” Mathematical Geosciences 52 (1): 53–79.

Mosser, Lukas, Wouter Kimman, Jesper Sören Dramsch, Steve Purves, Alfredo De la Fuente, and Graham Ganssle. 2018. “Rapid Seismic Domain Transfer: Seismic Velocity Inversion and Modeling Using Deep Generative Neural Networks.” http://arxiv.org/abs/1805.08826.

Mosser, Lukas, Wouter Kimman, Jesper Sören Dramsch, Steve Purves, A De la Fuente Briceño, and Graham Ganssle. 2018. “Rapid Seismic Domain Transfer: Seismic Velocity Inversion and Modeling Using Deep Generative Neural Networks.” In 80th EAGE Conference and Exhibition 2018. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201800734.

Murat, Michael E, and Albert J Rudman. 1992. “Automated First Arrival Picking: A Neural Network Approach1.” Geophys. Prospect. 40 (6): 587–604. https://doi.org/10.1111/j.1365-2478.1992.tb00543.x.

Musil, Miloslav, and Axel Plešinger. 1996b. “Discrimination Between Local Microearthquakes and Quarry Blasts by Multi-Layer Perceptrons and Kohonen Maps.” Bull. Seismol. Soc. Am. 86 (4): 1077–90. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/86/4/1077/120135.

———. 1996a. “Discrimination Between Local Microearthquakes and Quarry Blasts by Multi-Layer Perceptrons and Kohonen Maps.” Bull. Seismol. Soc. Am. 86 (4): 1077–90. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/86/4/1077/120135.

Na’imi, S R, S R Shadizadeh, M A Riahi, and M Mirzakhanian. 2014. “Estimation of Reservoir Porosity and Water Saturation Based on Seismic Attributes Using Support Vector Regression Approach.” J. Appl. Geophys. 107 (August): 93–101. https://doi.org/10.1016/j.jappgeo.2014.05.011.

Namekar, Shailesh, Yoshiki Yamazaki, and Kwok Fai Cheung. 2009. “Neural Network for Tsunami and Runup Forecast.” Geophys. Res. Lett. 36 (8): 203. https://doi.org/10.1029/2009gl037184.

Nanda, Niranjan C. 2016. Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-26491-2.

Nash, John. 1951. “Non-Cooperative Games.” Annals of Mathematics, 286–95.

Nature, The. n.d. “Seismic Reflections Come from Interfaces Where the Acoustic Properties of the Rocks.”

Neal, Radford M. 1996. Bayesian Learning for Neural Networks. Springer Science & Business Media.

Newendorp, Paul D. 1976. “Decision Analysis for Petroleum Exploration.”

Nguyen, Phung K T, Myung Jin Nam, and Chanho Park. 2015. “A Review on Time-Lapse Seismic Data Processing and Interpretation.” Geosci. J. 19 (2): 375–92. https://doi.org/10.1007/s12303-014-0054-2.

Nickel, M, J Schlaf, and L Sønneland. 2003. “New Tools for 4d Seismic Analysis in Compacting Reservoirs.” Pet. Geosci. 9 (1): 53–59. https://doi.org/10.1144/1354-079302-540.

Nikolov, H S. 2015. “Application of Machine Learning Method in Classification of Rock Types in Open Pit Mines.” 8th Congress of the Balkan Geophysical Society. http://www.earthdoc.org/publication/publicationdetails/?publication=82844.

Núñez-Nieto, Xavier, Mercedes Solla, Paula Gómez-Pérez, and Henrique Lorenzo. 2014. “GPR Signal Characterization for Automated Landmine and UXO Detection Based on Machine Learning Techniques.” Remote Sensing 6 (10): 9729–48. https://doi.org/10.3390/rs6109729.

O’Brien, Joshua J, Paul G Spry, Dan Nettleton, Ruo Xu, and Graham S Teale. 2015. “Using Random Forests to Distinguish Gahnite Compositions as an Exploration Guide to Broken Hill-Type Pb–Zn–Ag Deposits in the Broken Hill Domain, Australia.” J. Geochem. Explor. 149 (February): 74–86. https://doi.org/10.1016/j.gexplo.2014.11.010.

Ochoa, Luis H, Luis F Niño, and Carlos A Vargas. 2018. “Fast Magnitude Determination Using a Single Seismological Station Record Implementing Machine Learning Techniques.” Geodesy and Geodynamics 9 (1): 34–41. https://doi.org/10.1016/j.geog.2017.03.010.

Oh, Hyun-Joo, and Saro Lee. 2010. “Application of Artificial Neural Network for Gold–Silver Deposits Potential Mapping: A Case Study of Korea.” Nat. Resour. Res. 19 (2): 103–24. https://doi.org/10.1007/s11053-010-9112-2.

Ohrnberger, M. 2001. “[No Title].” https://www.researchgate.net/profile/Matthias_Ohrnberger/publication/252958874_Continuous_Automatic_Classification_of_Seismic_Signals_of_Volcanic_Origin_at_Mt_Merapi_Java_Indonesia/links/573ffe3e08aea45ee84504a4/Continuous-Automatic-Classification-of-Seismic-Signals-of-Volcanic-Origin-at-Mt-Merapi-Java-Indonesia.pdf; researchgate.net. https://www.researchgate.net/profile/Matthias_Ohrnberger/publication/252958874_Continuous_Automatic_Classification_of_Seismic_Signals_of_Volcanic_Origin_at_Mt_Merapi_Java_Indonesia/links/573ffe3e08aea45ee84504a4/Continuous-Automatic-Classification-of-Seismic-Signals-of-Volcanic-Origin-at-Mt-Merapi-Java-Indonesia.pdf.

Olden, Peter, Patrick Corbett, Robin Westerman, Jim Somerville, Brian Smart, and Nick Koutsabeloulis. 2001. “Modeling Combined Fluid and Stress Change Effects in the Seismic Response of a Producing Hydrocarbon Reservoir.” Lead. Edge 20 (10): 1154–63. https://doi.org/10.1190/1.1486773.

Oliveira, Luke de, Michela Paganini, and Benjamin Nachman. 2017. “Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis.” Computing and Software for Big Science.

Oliver, Dean S, and Yan Chen. 2011. “Recent Progress on Reservoir History Matching: A Review.” Computational Geosciences 15 (1): 185–221. https://doi.org/10.1007/s10596-010-9194-2.

Olivier, Gerrit, Julien Chaput, and Brian Borchers. 2018. “Using Supervised Machine Learning to Improve Active Source Signal Retrieval.” Seismol. Res. Lett. 89 (3): 1023–29. https://doi.org/10.1785/0220170239.

Oord, Aäron van den, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu. 2016. “WaveNet: A Generative Model for Raw Audio.” CoRR abs/1609.03499. http://arxiv.org/abs/1609.03499.

Oord, Aäron van den, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, et al. 2017. “Parallel WaveNet: Fast High-Fidelity Speech Synthesis.” CoRR abs/1711.10433. http://arxiv.org/abs/1711.10433.

Osdal, Bård, and Martin Landrø. 2011. “Estimation of Changes in Water Column Velocities and Thicknesses from Time Lapse Seismic Data.” Geophys. Prospect. 59 (2): 295–309. https://doi.org/10.1111/j.1365-2478.2010.00923.x.

Ouenes, Ahmed, Abdel M Zellou, Gary Robinson, Dave Balogh, and Udo Araktingi. 2004. “Seismically Driven Improved Fractured Reservoir Characterization.” In SPE International Petroleum Conference in Mexico. https://doi.org/10.2118/92031-ms.

Ouenes, A, A M Zellou, G Robinson, D Balogh, and U Araktingi. 2004. “Seismically Driven Improved Fractured Reservoir Characterization.” Spe 92031, 1–9. https://doi.org/10.2523/92031-ms.

Paganini, Michela, Luke de Oliveira, and Benjamin Nachman. 2017. “CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks.” http://arxiv.org/abs/1705.02355.

———. 2018. “CaloGAN: Simulating 3d High Energy Particle Showers in Multilayer Electromagnetic Calorimeters with Generative Adversarial Networks.” Physical Review D 97 (1): 014021.

Panakkat, Ashif, and Hojjat Adeli. 2007. “Neural Network Models for Earthquake Magnitude Prediction Using Multiple Seismicity Indicators.” International Journal of Neural Systems 17 (01): 13–33.

Papacharalampous, Georgia, Hristos Tyralis, and Demetris Koutsoyiannis. 2018. “One-Step Ahead Forecasting of Geophysical Processes Within a Purely Statistical Framework.” Geoscience Letters 5 (1): 12. https://doi.org/10.1186/s40562-018-0111-1.

Parra, Jorge O, Ursula Iturrarán-Viveros, Jonathan S Parra, and Pei-Cheng Xu. 2015. “Attenuation and Velocity Estimation Using Rock Physics and Neural Network Methods for Calibrating Reflection Seismograms.” Interpretation 3 (1): Sa121–sa133. https://doi.org/10.1190/int-2014-0175.1.

Pasolli, Edoardo, Farid Melgani, and Massimo Donelli. 2009. “Automatic Analysis of GPR Images: A Pattern-Recognition Approach.” IEEE Transactions on Geoscience and Remote Sensing 47 (7): 2206–17.

Pasolli, E, F Melgani, and M Donelli. 2009. “Automatic Analysis of GPR Images: A Pattern-Recognition Approach.” IEEE Trans. Geosci. Remote Sens. 47 (7): 2206–17. https://doi.org/10.1109/tgrs.2009.2012701.

Paszke, Adam, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017. “Automatic Differentiation in PyTorch.” In NIPS Autodiff Workshop.

Patel, Ashok Kumar, and Snehamoy Chatterjee. 2016. “Computer Vision-Based Limestone Rock-Type Classification Using Probabilistic Neural Network.” Geoscience Frontiers 7 (1): 53–60. https://doi.org/10.1016/j.gsf.2014.10.005.

Pearl, Judea. 2012. “The Do-Calculus Revisited.” arXiv Preprint arXiv:1210.4852.

Pedersen, S I, T Randen, L Sonneland, and others. 2002. “Automatic Fault Extraction Using Artificial Ants.” SEG Technical Program. https://library.seg.org/doi/pdf/10.1190/1.1817297.

Pedregosa, F., G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, et al. 2011. “Scikit-Learn: Machine Learning in Python.” Journal of Machine Learning Research 12: 2825–30.

Pedregosa, Fabian, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, et al. 2011. “Scikit-Learn: Machine Learning in Python.” Journal of Machine Learning Research 12 (Oct): 2825–30.

Pennington, W. 1997. “Seismic Petrophysics: An Applied Science for Reservoir Geophysics.” Lead. Edge 16 (3): 241–46. https://doi.org/10.1190/1.1437608.

———. 2001. “Reservoir Geophysics.” Geophysics 66 (1): 25–30. https://doi.org/10.1190/1.1444903.

Pennington, Wayne D, Horacio Acevedo, Joshua I Haataja, and Anastasia Minaeva. 2001. “Seismic Time-Lapse Surprise at Teal South: That Little Neighbor Reservoir Is Leaking!” Lead. Edge 20 (10): 1172–75. https://doi.org/10.1190/1.1487249.

Petrelli, Maurizio, and Diego Perugini. 2016. “Solving Petrological Problems Through Machine Learning: The Study Case of Tectonic Discrimination Using Geochemical and Isotopic Data.” Contrib. Mineral. Petrol. 171 (10): 81. https://doi.org/10.1007/s00410-016-1292-2.

pettersen. n.d. “Time-Lapse Seismic Inversion of Data from a Compacting Chalk Reservoir.”

Pettersen, R S H, O I Barkved, and N Haller. 2006. “Time-Lapse Seismic Inversion of Data from a Compacting Chalk Reservoir SEG / New Orleans 2006 Annual Meeting SEG / New Orleans 2006 Annual Meeting.” In SEG/New Orleans 2006 Annual Meeting, 3225–29.

Plotkin, D A, J Weare, and D S Abbot. 2014. “Distinguishing Meanders of the K Uroshio Using Machine Learning.” J. Geophys. Res. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2014JC010128.

Ponfa Bitrus, Roy, David Iacopini, and Clare Bond. 2016. “Mapping 3d Thin Shale and Permeability Pathway Within a Reservoir System: Case Study from the Sleipner Field.” In EGU General Assembly Conference Abstracts, 18:17228. http://adsabs.harvard.edu/abs/2016EGUGA..1817228P.

Porwal, Alok, E J M Carranza, and M Hale. 2003. “Artificial Neural Networks for Mineral-Potential Mapping: A Case Study from Aravalli Province, Western India.” Nat. Resour. Res. 12 (3): 155–71. https://doi.org/10.1023/a:1025171803637.

Poulsen, Allan Korsgaard, Kim Bousquet Lafond, Niels Voight, Thomas Lundgaard, and Lars Malcolm Pedersen. 2012. “Characterization of Direct Fractures Using Real Time Offshore Analysis of Deuterium Tracer Technology.” In SPE Europec/EAGE Annual Conference, 4–7. Society of Petroleum Engineers. https://doi.org/10.2118/154878-ms.

Poulton, M, B Sternberg, and C Glass. 1992. “Location of Subsurface Targets in Geophysical Data Using Neural Networks.” Geophysics 57 (12): 1534–44. https://doi.org/10.1190/1.1443221.

Prenger, Ryan, Rafael Valle, and Bryan Catanzaro. 2018. “WaveGlow: A Flow-Based Generative Network for Speech Synthesis.” CoRR abs/1811.00002. http://arxiv.org/abs/1811.00002.

Preston, Floyd W, and James Henderson. 1964. Fourier Series Characterization of Cyclic Sediments for Stratigraphic Correlation. Kansas Geological Survey.

Purves, S, B Alaei, and E Larsen. 2018. “Bootstrapping Machine-Learning Based Seismic Fault Interpretation.” ACE 2018 Annual Convention &. http://www.searchanddiscovery.com/abstracts/html/2018/ace2018/abstracts/2856016.html.

Purves, S, B Alaei, and D Lolis. 2019. “Towards Subsurface ML Metrics.” In 81st EAGE Conference and Exhibition 2019 Workshop Programme.

Purves, Steve. 2014. “Phase and the Hilbert Transform.” The Leading Edge 33 (10): 1164–66. https://doi.org/10.1190/tle33101164.1.

Qi, J, T Lin, T Zhao, F Li, and K Marfurt. 2016. “Semisupervised Multiattribute Seismic Facies Analysis.” Interpretation 4 (1): Sb91–sb106. https://doi.org/10.1190/int-2015-0098.1.

R. Schiott, C, and A King. 2006. “Plan, Acquire, Process and Interpret - How to Turn Around a Time Lapse Survey in Three Weeks.” In. https://doi.org/10.3997/2214-4609.201402397.

Ramboll. 2015a. “MAERSK OIL ESIA-16 ENVIRONMENTAL AND SOCIAL IMPACT STATEMENT - DAN.”

———. 2015b. “Maersk Oil Esia-16 Environmental And Social Impact Statement - Dan.”

———. 2015c. “MAERSK OIL ESIA-16 ENVIRONMENTAL AND SOCIAL IMPACT STATEMENT - HALFDAN.”

———. 2015d. “Maersk Oil Esia-16 Environmental And Social Impact Statement - Halfdan.”

Ramcharan, Amanda, Kelsee Baranowski, Peter McCloskey, Babuali Ahmed, James Legg, and David P Hughes. 2017. “Deep Learning for Image-Based Cassava Disease Detection.” Frontiers in Plant Science 8: 1852.

Ramcharan, Amanda, Peter McCloskey, Kelsee Baranowski, Neema Mbilinyi, Latifa Mrisho, Mathias Ndalahwa, James Legg, and David P Hughes. 2019. “A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis.” Frontiers in Plant Science 10: 272.

Ranjan, Anurag, and Michael J Black. 2017. “Optical Flow Estimation Using a Spatial Pyramid Network.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4161–70.

Rasmussen, Carl Edward. 2003. “Gaussian Processes in Machine Learning.” In Summer School on Machine Learning, 63–71. Springer.

Rasmussen, E. S, O. V Vejbæk, T Bidstrup, S Piasecki, and K Dybkjær. 2005. “Late Cenozoic depositional history of the Danish North Sea Basin: implications for the petroleum systems in the Kraka, Halfdan, Siri and Nini fields.” In Petroleum Geology: North-West Europe and Global Perspectives - Proceedings of the 6th Petroleum Geology Conference, 1347–58. Geological Society of London. https://doi.org/10.1144/0061347.

Rasmussen, E S, O V Vejbæk, T Bidstrup, S Piasecki, and K Dybkjær. 2005. “Late Cenozoic Depositional History of the Danish North Sea Basin: Implications for the Petroleum Systems in the Kraka, Halfdan, Siri and Nini Fields.” In Petroleum Geology: North-West Europe and Global Perspectives - Proceedings of the 6th Petroleum Geology Conference, 1347–58. Geological Society of London. https://doi.org/10.1144/0061347.

Rau Schiott, C, V Bertrand-Biran, H Juhl Hansen, N Koutsabeloulis, and K Westeng. 2008. “Time-Lapse Inversion and Geomechanical Modelling of the South Arne Field.” First Break 26 (5). http://earthdoc.eage.org/publication/download/?publication=27996.

Real, Esteban, Alok Aggarwal, Yanping Huang, and Quoc V Le. 2019. “Regularized Evolution for Image Classifier Architecture Search.” In Proceedings of the AAAI Conference on Artificial Intelligence, 33:4780–89.

Recht, Benjamin, Rebecca Roelofs, Ludwig Schmidt, and Vaishaal Shankar. 2019. “Do Imagenet Classifiers Generalize to Imagenet?” arXiv Preprint arXiv:1902.10811.

Reddy, R. K. T., and G. F. Bonham-Carter. 1991. “A Decision-Tree Approach to Mineral Potential Mapping in Snow Lake Area, Manitoba.” Canadian Journal of Remote Sensing 17 (2): 191–200. https://doi.org/10.1080/07038992.1991.10855292.

Rezvanbehbahani, S, L A Stearns, and others. 2017. “Predicting the Geothermal Heat Flux in Greenland: A Machine Learning Approach.” Geophysical. https://onlinelibrary.wiley.com/doi/abs/10.1002/2017GL075661.

Ribeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. 2016. “Why Should i Trust You?: Explaining the Predictions of Any Classifier.” In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135–44. Acm.

Richardson, Alan. 2018. “Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques,” January. http://arxiv.org/abs/1801.07232.

Rickett, J E, and D Lumley. 2001. “Cross-Equalization Data Processing for Time-Lapse Seismic Reservoir Monitoring: A Case Study from the Gulf of Mexico.” Geophysics 66 (4): 1015–25. https://doi.org/10.1190/1.1487049.

Rickett, James, Luca Duranti, Tom Hudson, Bernard Regel, and Neil Hodgson. 2007. “4d Time Strain and the Seismic Signature of Geomechanical Compaction at Genesis.” The Leading Edge 26 (5): 644–47.

Rickett, James, Luca Duranti, San Ramon, Usa Tom Hudson, Bernard Regel, and New Orleans. 2007. “4d Time Strain and the Seismic Signature of Geomechanical Compaction at Genesis.” Lead. Edge 26 (5): 644–47. https://doi.org/10.1190/1.2737103.

Rickett, James, and David E Lumley. 1998. “A Cross-Equalization Processing Flow for Off-the-Shelf 4d Seismic Data.” In SEG Technical Program Expanded Abstracts 1998, 16–19. Society of Exploration Geophysicists. https://doi.org/10.1190/1.1820252.

Riedel, I, P Guéguen, F Dunand, and S Cottaz. 2014. “Macroscale Vulnerability Assessment of Cities Using Association Rule Learning.” Seismol. Res. Lett. 85 (2): 295–305. https://doi.org/10.1785/0220130148.

Ristić, Aleksandar, Željko Bugarinović, Milan Vrtunski, and Miro Govedarica. 2017. “Point Coordinates Extraction from Localized Hyperbolic Reflections in GPR Data.” J. Appl. Geophys. 144 (September): 1–17. https://doi.org/10.1016/j.jappgeo.2017.06.003.

Robinson, G. n.d. “Seismically Driven Fractured Reservoir Characterization.” Block 1, Forum 3 Paper, 1–13.

Rod, Malene Holm. 2005. “Injection Fracturing in a Densely Spaced Line Drive Waterflood - the Halfdan Example.” In SPE Europec/EAGE Annual Conference. Society of Petroleum Engineers. https://doi.org/10.2118/94049-ms.

Roden, R, and C W Chen. 2017. “Interpretation of DHI Characteristics with Machine Learning.” First Break. http://www.earthdoc.org/publication/publicationdetails/?publication=88069.

Roden, Rocky, and Héctor Sepúlveda. 1999. “The Significance of Phase to the Interpreter: Practical Guidelines for Phase Analysis.” The Leading Edge 18 (7): 774–77. https://doi.org/10.1190/1.1438375.

Roden, Rocky, Thomas Smith, and Deborah Sacrey. 2015. “Geologic Pattern Recognition from Seismic Attributes: Principal Component Analysis and Self-Organizing Maps.” Interpretation 3 (4): Sae59–sae83. https://doi.org/10.1190/int-2015-0037.1.

Rodriguez-Galiano, V F, M Chica-Olmo, and M Chica-Rivas. 2014. “Predictive Modelling of Gold Potential with the Integration of Multisource Information Based on Random Forest: A Case Study on the Rodalquilar Area, Southern Spain.” Int. J. Geogr. Inf. Sci. 28 (7): 1336–54. https://doi.org/10.1080/13658816.2014.885527.

Roeth, Gunter, and Albert Tarantola. 1994. “Neural Networks and Inversion of Seismic Data.” Journal of Geophysical Research: Solid Earth 99 (B4): 6753–68. https://doi.org/10.1029/93JB01563.

Rolnick, David, Priya L Donti, Lynn H Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, et al. 2019. “Tackling Climate Change with Machine Learning.” arXiv Preprint arXiv:1906.05433.

Romeo, G. 1994. “Seismic Signals Detection and Classification Using Artiricial Neural Networks.” Annals of Geophysics 37 (3). https://doi.org/10.4401/ag-4211.

Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. 2015a. “U-Net: Convolutional Networks for Biomedical Image Segmentation.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, 234–41. Springer.

———. 2015b. “U-Net: Convolutional Networks for Biomedical Image Segmentation.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, 234–41. Springer.

Rosenblatt, Frank. 1958. “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain.” Psychological Review 65 (6): 386.

Ross, C P, G B Cunningham, and D P Weber. 1996. “Inside the Crossequalization Black Box.” Lead. Edge 15 (11): 1233–40. https://doi.org/10.1190/1.1437231.

Ross, Z E, M A Meier, and E Hauksson. 2018. “P-Wave Arrival Picking and First-Motion Polarity Determination with Deep Learning.” J. Geophys. Res. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2017JB015251.

Ross, Zachary E, Men-Andrin Meier, Egill Hauksson, and Thomas H Heaton. 2018a. “Generalized Seismic Phase Detection with Deep Learning.” Bulletin of the Seismological Society of America 108 (5A): 2894–2901.

———. 2018b. “Generalized Seismic Phase Detection with Deep Learning.” Bulletin of the Seismological Society of America 108 (5a): 2894–2901. http://arxiv.org/abs/1805.01075.

Rouet-Leduc, B, C Hulbert, D C Bolton, and others. 2018. “Estimating Fault Friction from Seismic Signals in the Laboratory.” Geophysical. https://onlinelibrary.wiley.com/doi/abs/10.1002/2017GL076708.

Rouet-Leduc, B, C Hulbert, N Lubbers, and others. 2017. “Machine Learning Predicts Laboratory Earthquakes.” Geophysical. https://onlinelibrary.wiley.com/doi/abs/10.1002/2017GL074677.

Röth, Gunter, and Albert Tarantola. 1994. “Neural Networks and Inversion of Seismic Data.” J. Geophys. Res. 99 (B4): 6753. https://doi.org/10.1029/93jb01563.

Rste, T, and G Ke. 2017. “Overburden 4d Time Shifts — Indicating Undrained Areas and Fault Transmissibility in the Reservoir.” Lead. Edge 36 (5): 423–30. https://doi.org/10.1190/tle36050423.1.

Ruder, Sebastian. 2016. “An Overview of Gradient Descent Optimization Algorithms.” arXiv Preprint arXiv:1609.04747.

Rumelhart, D. E., G. E. Hinton, and R. J. Williams. 1988. “Learning Internal Representations by Error Propagation.” In Readings in Cognitive Science, 399–421. Elsevier. https://doi.org/10.1016/b978-1-4832-1446-7.50035-2.

Rumelhart, David E, Geoffrey E Hinton, Ronald J Williams, and others. 1988. “Learning Representations by Back-Propagating Errors.” Cognitive Modeling 5 (3): 1.

Russakovsky, Olga, Jia Deng, Zhiheng Huang, Alexander C. Berg, and Li Fei-Fei. 2013. “Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?” In International Conference on Computer Vision (ICCV).

Russakovsky, Olga, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, et al. 2015. “ImageNet Large Scale Visual Recognition Challenge.” International Journal of Computer Vision (IJCV) 115 (3): 211–52. https://doi.org/10.1007/s11263-015-0816-y.

Russell, Brian. n.d. “Integrating Rock Physics Modeling , Pre- Stack Inversion and Bayesian Classification.”

Russell, Stuart J., and Peter Norvig. 2010. Artificial Intelligence - A Modern Approach, Third International Edition. Pearson Education. http://vig.pearsoned.com/store/product/1,1207,store-12521_isbn-0136042597,00.html.

Rutherford Ildstad, Charles, and Peter Bormann. 2017. “MalenoV.”

Rutherford, Steven R., and Robert H. Williams. 1989. “Amplitude-versus-offset variations in gas sands.” GEOPHYSICS 54 (6): 680–88. https://doi.org/10.1190/1.1442696.

Røste, Thomas, Alexey Stovas, and Martin Landrø. 2006. “Estimation of Layer Thickness and Velocity Changes Using 4d Prestack Seismic Data.” Geophysics 71 (6): S219–s234.

Sacrey, D, and R Roden. 2018. “Solving Exploration Problems with Machine Learning.” First Break. http://www.earthdoc.org/publication/publicationdetails/?publication=92017.

Sagi, D A, M Arnhild, and J F Karlo. 2013. “Quantifying Fracture Density and Connectivity of Fractured Chalk Reservoirs from Core Samples: Implications for Fluid Flow.” Geological Society, London, Special Publications 374. https://doi.org/10.1144/sp374.16.

Sahoo, S, T A Russo, J Elliott, and others. 2017. “Machine Learning Algorithms for Modeling Groundwater Level Changes in Agricultural Regions of the US.” Water Resour. https://onlinelibrary.wiley.com/doi/abs/10.1002/2016WR019933.

Salati, S, F J A van Ruitenbeek, J B de Smeth, and others. 2014. “Spectral and Geochemical Characterization of Onshore Hydrocarbon Seep-Induced Alteration in the Dezful Embayment, Southwest IranSpectral and Geochemical ….” Aapg. https://pubs.geoscienceworld.org/segweb/aapgbull/article/98/9/1837/133439.

Sambridge, Malcolm, and Kerry Gallagher. 1993. “Earthquake Hypocenter Location Using Genetic Algorithms.” Bull. Seismol. Soc. Am. 83 (5): 1467–91. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/83/5/1467/119743.

Samuel, Arthur L. 1959. “Some Studies in Machine Learning Using the Game of Checkers.” IBM Journal of Research and Development 3 (3): 210–29.

Samui, Pijush, Dookie Kim, and T G Sitharam. 2011. “Support Vector Machine for Evaluating Seismic-Liquefaction Potential Using Shear Wave Velocity.” J. Appl. Geophys. 73 (1): 8–15. https://doi.org/10.1016/j.jappgeo.2010.10.005.

Saporetti, Camila Martins, Leonardo Goliatt da Fonseca, Egberto Pereira, and Leonardo Costa de Oliveira. 2018. “Machine Learning Approaches for Petrographic Classification of Carbonate-Siliciclastic Rocks Using Well Logs and Textural Information.” J. Appl. Geophys. 155 (August): 217–25. https://doi.org/10.1016/j.jappgeo.2018.06.012.

Sarroff, Andy M. 2018. “Complex Neural Networks for Audio.” TR2018-859. Hanover, NH: Dartmouth College, Computer Science. http://www.cs.dartmouth.edu/~trdata/reports/TR2018-859.pdf.

Sarroff, Andy M., Victor Shepardson, and Michael A. Casey. 2015. “Learning Representations Using Complex-Valued Nets.” CoRR abs/1511.06351. http://arxiv.org/abs/1511.06351.

Sayers, Colin M. 2006. “Sensitivity of Time-Lapse Seismic to Reservoir Stress Path.” Geophys. Prospect. 54 (5): 662–62. https://doi.org/10.1111/j.1365-2478.2006.00560.x.

———. 2010. Geophysics Under Stress. https://doi.org/10.1190/1.9781560802129.

Scarpetta, S, F Giudicepietro, E C Ezin, S Petrosino, E Del Pezzo, M Martini, and M Marinaro. 2005. “Automatic Classification of Seismic Signals at Mt. Vesuvius Volcano, Italy, Using Neural Networks.” Bull. Seismol. Soc. Am. 95 (1): 185–96. https://doi.org/10.1785/0120030075.

Scarpiniti, Michele, Daniele Vigliano, Raffaele Parisi, and Aurelio Uncini. 2008. “Generalized Splitting Functions for Blind Separation of Complex Signals.” Neurocomputing 71 (10-12): 2245–70. https://doi.org/10.1016/j.neucom.2007.07.037.

Schiøtt, Christian Rau, Valérie Bertrand-Biran, Henrik Juhl Hansen, Nick Koutsabeloulis, and Kjetil Westeng. 2008. “Time‑lapse Inversion and Geomechanical Modelling of the South Arne Field.” First Break 26.

Schlanser, Kristen, Dario Grana, and Erin Campbell-Stone. 2016. “Lithofacies Classification in the Marcellus Shale by Applying a Statistical Clustering Algorithm to Petrophysical and Elastic Well Logs.” Interpretation 4 (2): Se31–se49. https://doi.org/10.1190/int-2015-0128.1.

Schoenberg, Michael, and Francis Muir. 1989. “A Calculus for Finely Layered Anisotropic Media.” Geophysics 54 (5): 581–89. https://doi.org/10.1190/1.1442685.

Schoenberg, Michael, and Colin M Sayers. 1995. “Seismic Anisotropy of Fractured Rock.” Geophysics 60 (1): 204–11. https://doi.org/10.1190/1.1443748.

Schuster, G T S. 2018. “Machine Learning and Wave Equation Inversion of Skeletonized Data.” 80th EAGE Conference & Exhibition 2018 Workshop. http://www.earthdoc.org/publication/publicationdetails/?publication=93370.

Schütt, Kristof T, Farhad Arbabzadah, Stefan Chmiela, Klaus R Müller, and Alexandre Tkatchenko. 2017a. “Quantum-Chemical Insights from Deep Tensor Neural Networks.” Nature Communications 8: 13890.

———. 2017b. “Quantum-Chemical Insights from Deep Tensor Neural Networks.” Nat. Commun. 8 (January): 13890. https://doi.org/10.1038/ncomms13890.

Schwarzacher, Walther. 1972. “The Semi-Markov Process as a General Sedimentation Model.” In Mathematical Models of Sedimentary Processes, 247–68. Springer.

Selvaraju, Ramprasaath R, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra. 2017. “Grad-Cam: Visual Explanations from Deep Networks via Gradient-Based Localization.” In Proceedings of the IEEE International Conference on Computer Vision, 618–26.

Sen, Satyakee, Sribharath Kainkaryam, Cen Ong, and Arvind Sharma. 2020. “SaltNet: A Production-Scale Deep Learning Pipeline for Automated Salt Model Building.” The Leading Edge 39 (3): 195–203.

Serra, Jean, and Luc Vincent. 1992. “An Overview of Morphological Filtering.” Circuits, Systems and Signal Processing 11 (1): 47–108.

Shafiq, M A, M Prabhushankar, and G AlRegib. 2018b. “Leveraging Sparse Features Learned from Natural Images for Seismic Understanding.” 80th EAGE Conference and. http://www.earthdoc.org/publication/publicationdetails/?publication=92123.

———. 2018a. “Leveraging Sparse Features Learned from Natural Images for Seismic Understanding.” 80th EAGE Conference and. http://www.earthdoc.org/publication/publicationdetails/?publication=92123.

Shafiq, M A, M Prabhushankar, and others. 2018. “Attention Models Based on Sparse Autoencoders for Seismic Interpretation.” ACE 2018 Annual. http://www.searchanddiscovery.com/abstracts/html/2018/ace2018/abstracts/2856356.html.

Shah, Rajiv, and Lukas Innig. 2019. Aftershock Issues (version 9632948). https://github.com/rajshah4/aftershocks_issues.

Shashidhara, Bhuvan Malladihalli, Mitchell Scott, and Aaron Marburg. 2020. “Instance Segmentation of Benthic Scale Worms at a Hydrothermal Site.” In The IEEE Winter Conference on Applications of Computer Vision, 1314–23.

Shen, Chaopeng. 2018. “A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists.” Water Resources Research 54 (11): 8558–93.

Shen, Dinggang, Guorong Wu, and Heung-Il Suk. 2017. “Deep Learning in Medical Image Analysis.” Annu. Rev. Biomed. Eng. 19 (June): 221–48. https://doi.org/10.1146/annurev-bioeng-071516-044442.

Shihab, S, Waleed Al-Nuaimy, Yi Huang, and Asger Eriksen. 2002. “Neural Network Target Identifier Based on Statistical Features of GPR Signals.” In Ninth International Conference on Ground Penetrating Radar, 4758:135–39. International Society for Optics; Photonics. https://doi.org/10.1117/12.462228.

Shihab, S, W Al-Nuaimy, and A Eriksen. 2002. “Image Processing and Neural Network Techniques for Automatic Detection and Interpretation of Ground Penetrating Radar Data.” Proceedings of the 6th. https://www.researchgate.net/profile/Asger_Eriksen/publication/255015233_Image_processing_and_neural_network_techniques_for_automatic_detection_and_interpretation_of_ground_penetrating_radar_data/links/54c664b60cf219bbe4f842ba/Image-processing-and-neural-network-techniques-for-automatic-detection-and-interpretation-of-ground-penetrating-radar-data.pdf.

Shrikumar, Avanti, Peyton Greenside, and Anshul Kundaje. 2017. “Learning Important Features Through Propagating Activation Differences.” In Proceedings of the 34th International Conference on Machine Learning-Volume 70, 3145–53. JMLR. org.

Silva, Adrielle A, Irineu A Lima Neto, Roseane M Misságia, Marco A Ceia, Abel G Carrasquilla, and Nathaly L Archilha. 2015. “Artificial Neural Networks to Support Petrographic Classification of Carbonate-Siliciclastic Rocks Using Well Logs and Textural Information.” J. Appl. Geophys. 117 (June): 118–25. https://doi.org/10.1016/j.jappgeo.2015.03.027.

Simonyan, Karen, and Andrew Zisserman. 2014a. “Very Deep Convolutional Networks for Large-Scale Image Recognition.” arXiv Preprint arXiv:1409.1556.

———. 2014b. “Very Deep Convolutional Networks for Large-Scale Image Recognition.” arXiv Preprint arXiv:1409.1556.

Skjervheim, J-A, G Evensen, S I Aanonsen, B O Ruud, and T a Johansen. 2007. “Incorporating 4d Seismic Data in Reservoir Simulation Models Using Ensemble Kalman Filter.” SPE Journal 12 (3): 282–92. https://doi.org/10.2118/95789-pa.

Smith, Brackin A, James E Sylte, Claus K Clausen, Phillips Petroleum Company Norway, Jerome Guilbot, and Totalfina Elf Exploration Norge. n.d. “Ekofisk 4d Seismic - Influence on Flow Simulation and Compaction Modeling.”

Smith, T. 2011. “Practical Seismic Petrophysics: The Effective Use of Log Data for Seismic Analysis.” Lead. Edge 30 (10): 1128–41. https://doi.org/10.1190/1.3657071.

Soner Yorgun, M, and Richard B Rood. 2016. “A Decision Tree Algorithm for Investigation of Model Biases Related to Dynamical Cores and Physical Parameterizations.” J Adv Model Earth Syst 8 (4): 1769–85. https://doi.org/10.1002/2016ms000657.

Song, Cheng-Yun, Zhi-Ning Liu, Han-Peng Cai, Feng Qian, and Guang-Min Hu. 2016. “Pre-Stack-Texture-Based Reservoir Characteristics and Seismic Facies Analysis.” Appl. Geophys. 13 (1): 69–79. https://doi.org/10.1007/s11770-016-0541-5.

Srivastava, Nitish, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. “Dropout: A Simple Way to Prevent Neural Networks from Overfitting.” Journal of Machine Learning Research 15: 1929–58. http://jmlr.org/papers/v15/srivastava14a.html.

Stein, Fridtjof. 2004. “Efficient Computation of Optical Flow Using the Census Transform.” In Joint Pattern Recognition Symposium, 79–86. Springer.

Stewart, S a. 2007. “Salt Tectonics in the North Sea Basin: A Structural Style Template for Seismic Interpreters.” Geological Society, London, Special Publications 272 (1): 361–96. https://doi.org/10.1144/gsl.sp.2007.272.01.19.

Strecker, U, and R Uden. 2002. “Data Mining of 3d Poststack Seismic Attribute Volumes Using Kohonen Self-Organizing Maps.” Lead. Edge 21 (10): 1032–37. https://doi.org/10.1190/1.1518442.

Su, Jiawei, Danilo Vasconcellos Vargas, and Kouichi Sakurai. 2019. “One Pixel Attack for Fooling Deep Neural Networks.” IEEE Transactions on Evolutionary Computation.

Sudakov, Oleg, Evgeny Burnaev, and Dmitry Koroteev. 2018b. “Driving Digital Rock Towards Machine Learning: Predicting Permeability with Gradient Boosting and Deep Neural Networks,” March. http://arxiv.org/abs/1803.00758.

———. 2018a. “Driving Digital Rock Towards Machine Learning: Predicting Permeability with Gradient Boosting and Deep Neural Networks,” March. http://arxiv.org/abs/1803.00758.

Suksmono, Andriyan Bayu, and Akira Hirose. 2002. “Adaptive Noise Reduction of InSAR Images Based on a Complex-Valued MRF Model and Its Application t o Phase Unwrapping Problem.” IEEE Transactions on Geoscience and Remote Sensing 40 (3): 699–709. https://doi.org/10.1109/tgrs.2002.1000329.

Suman, Amit. 2013. “Joint Inversion of Production and Time-Lapse Seismic Data: Application to Norne Field.” PhD thesis. https://pangea.stanford.edu/researchgroups/scrf/resources/theses.

Sun, Alexander Y, Bridget R Scanlon, Zizhan Zhang, David Walling, Soumendra N Bhanja, Abhijit Mukherjee, and Zhi Zhong. 2019. “Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?” Water Resources Research 55 (2): 1179–95.

Sun, Deqing, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. 2018. “PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 8934–43.

Sutskever, Ilya, James Martens, George Dahl, and Geoffrey Hinton. 2013. “On the Importance of Initialization and Momentum in Deep Learning.” In Proceedings of the 30th International Conference on Machine Learning, edited by Sanjoy Dasgupta and David McAllester, 28:1139–47. Proceedings of Machine Learning Research 3. Atlanta, Georgia, USA: Pmlr. http://proceedings.mlr.press/v28/sutskever13.html.

Svay, Julie, N. Bousquié, Thomas Mensch, Anna Sedova, P. Hickman, and J. Zaske. 2013a. “4D-repeatability of Reservoir Illumination - New Quality Indicators for Marine Acquisition.” In, 10–13. June 2013. https://doi.org/10.3997/2214-4609.20130132.

Svay, Julie, N Bousquié, Thomas Mensch, Anna Sedova, P Hickman, and J Zaske. 2013b. “4d-Repeatability of Reservoir Illumination - New Quality Indicators for Marine Acquisition.” In, 10–13. https://doi.org/10.3997/2214-4609.20130132.

Szegedy, Christian, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi. 2017. “Inception-V4, Inception-Resnet and the Impact of Residual Connections on Learning.” In Thirty-First AAAI Conference on Artificial Intelligence.

Szegedy, Christian, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015. “Going Deeper with Convolutions.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1–9.

Szegedy, Christian, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. 2016. “Rethinking the Inception Architecture for Computer Vision.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2818–26.

Talarico, E, W Leäo, and D Grana. 2019. “Comparison of Recursive Neural Network and Markov Chain Models in Facies Inversion.” In Petroleum Geostatistics 2019, 2019:1–5. 1. European Association of Geoscientists & Engineers.

Talley, Daniel J, Thomas L Davis, Robert D Benson, and Steven L Roche. 1998. “Dynamic Reservoir Characterization of Vacuum Field.” Lead. Edge 17 (10): 1396. https://doi.org/10.1190/1.1437858.

Tan, Mingxing, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V Le. 2019. “Mnasnet: Platform-Aware Neural Architecture Search for Mobile.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2820–28.

Tan, Mingxing, and Quoc V Le. 2019a. “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.” arXiv Preprint arXiv:1905.11946.

———. 2019b. “MixConv: Mixed Depthwise Convolutional Kernels.” CoRR, Abs/1907.09595.

Tancik, Matthew, Pratul P Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T Barron, and Ren Ng. 2020. “Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.” arXiv Preprint arXiv:2006.10739.

Taner, M Turhan, Fulton Koehler, and RE Sheriff. 1979. “Complex Seismic Trace Analysis.” Geophysics 44 (6): 1041–63.

Tang, D, and K Spikes. 2017b. “Segmentation of Shale SEM Images Using Machine Learning.” In SEG Technical Program Expanded Abstracts 2017, 3898–3902. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17738502.1.

———. 2017a. “Segmentation of Shale SEM Images Using Machine Learning.” In SEG Technical Program Expanded Abstracts 2017, 3898–3902. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17738502.1.

Tarantola, Albert. 2005. Inverse Problem Theory and Methods for Model Parameter Estimation. Siam.

Tartakovsky, Daniel M. 2004. “Delineation of Geologic Facies with Statistical Learning Theory.” Geophys. Res. Lett. 31 (18): 121. https://doi.org/10.1029/2004gl020864.

Taylor, Richard. 1843. Scientific Memoirs, Selected from the Transactions of Foreign Academies of Science and Learned Societies, and from Foreign Journals. Vol. 3. R.; JE Taylor.

Team, Theano Development. 2016. “Theano: A Python framework for fast computation of mathematical expressions.” arXiv e-Prints abs/1605.02688 (May). http://arxiv.org/abs/1605.02688.

Terzaghi, Ruth D. 1965. “Sources of Error in Joint Surveys.” Geotechnique 15 (3): 287–304.

Thomasen, J. B, and N. L Jacobsen. 1994. “Dipping Fluid Contacts in the Kraka Field, Danish North Sea.” In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. https://doi.org/10.2118/28435-MS.

Thomasen, J B, and N L Jacobsen. 1994. “Dipping Fluid Contacts in the Kraka Field, Danish North Sea.” In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. https://doi.org/10.2118/28435-MS.

Titos, Manuel, Angel Bueno, Luz Garcı́a, M Carmen Benı́tez, and Jesús Ibañez. 2018. “Detection and Classification of Continuous Volcano-Seismic Signals with Recurrent Neural Networks.” IEEE Transactions on Geoscience and Remote Sensing 57 (4): 1936–48.

Tiwary, Dileep K, Irina O Bayuk, Alexander A Vikhorev, and Evgeni M Chesnokov. 2009. “Comparison of Seismic Upscaling Methods: From Sonic to Seismic.” Geophysics 74 (2): Wa3–wa14. https://doi.org/10.1190/1.3054144.

Tod, Simon, Brian Taylor, Rodney Johnston, and Tony Allen. 2007. “Fracture Prediction from Wide-Azimuth Land Seismic Data in SE Algeria.” Lead. Edge 26 (9): 1154–60. https://doi.org/10.1190/1.2780786.

Tolstukhin, E, B Lyngnes, and H H Sudan. 2012. “Ekofisk 4d Seismic - Seismic History Matching Workflow.” SPE Europec/EAGE Annual Conference, no. June: 4–7. https://doi.org/10.2118/154347-ms.

Touvron, Hugo, Andrea Vedaldi, Matthijs Douze, and Hervé Jégou. 2019. “Fixing the Train-Test Resolution Discrepancy.” arXiv Preprint arXiv:1906.06423.

Trabelsi, Chiheb, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, and Christopher J Pal. 2017. “Deep Complex Networks.” arXiv Preprint arXiv:1705.09792.

Tura, Ali, Timothy Barker, Paul Cattermole, Chuck Collins, Jerry Davis, Paul Hatchell, Klaas Koster, Peter Schutjens, and Peter Wills. 2005. “Monitoring Primary Depletion Reservoirs Using Amplitudes and Time Shifts from High-Repeat Seismic Surveys.” Lead. Edge 24 (12): 1214–21. https://doi.org/10.1190/1.2149620.

Turing, Alan M. 1950. “I.–Computing Machinery and Intelligence.” Mind Lix (236): 433–60. https://doi.org/10.1093/mind/LIX.236.433.

Ueki, K, H Hino, and T Kuwatani. 2018a. “Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine‐Learning‐Based Approach.” Geochem. Geophys. Geosyst. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2017GC007401.

———. 2018b. “Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine-Learning-Based Approach.” Geochem. Geophys. Geosyst. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2017GC007401.

Uieda, Leonardo. 2018. “Verde: Processing and Gridding Spatial Data Using Green’s Functions.” Journal of Open Source Software 3 (29): 957. https://doi.org/10.21105/joss.00957.

Ulyanov, Dmitry, Andrea Vedaldi, and Victor Lempitsky. 2018. “Deep Image Prior.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 9446–54.

Valentine, A P, L M Kalnins, and others. 2013. “Discovery and Analysis of Topographic Features Using Learning Algorithms: A Seamount Case Study.” Geophys. Res. Lett. https://onlinelibrary.wiley.com/doi/abs/10.1002/grl.50615.

Valentine, AP, and Lara M Kalnins. 2016. “An Introduction to Learning Algorithms and Potential Applications in Geomorphometry and Earth Surface Dynamics.” Earth Surface Dynamics. 4: 445–60.

Valera, Manuel, Zhengyang Guo, Priscilla Kelly, Sean Matz, Vito Adrian Cantu, Allon G Percus, Jeffrey D Hyman, Gowri Srinivasan, and Hari S Viswanathan. 2017. “Machine Learning for Graph-Based Representations of Three-Dimensional Discrete Fracture Networks.” Computational Geosciences 22 (3): 695–710. https://doi.org/10.1007/s10596-018-9720-1.

———. 2018. “Machine Learning for Graph-Based Representations of Three-Dimensional Discrete Fracture Networks.” Computational Geosciences 22 (3): 695–710. https://doi.org/10.1007/s10596-018-9720-1.

Vanorio, Tiziana, Gary Mavko, Stephanie Vialle, and Kyle Spratt. 2010. “The Rock Physics Basis for 4d Seismic Monitoring of Fate: Are We There Yet?” Lead. Edge 29 (2): 156–62. https://doi.org/10.1190/1.3304818.

Varga, Miguel de la, and J Florian Wellmann. 2016. “Structural Geologic Modeling as an Inference Problem: A Bayesian Perspective.” Interpretation 4 (3): Sm1–sm16. https://doi.org/10.1190/int-2015-0188.1.

Vasquez, Guilherme, Eurı́pedes Vargas, Marcos dos Santos, Marimônica de Carvalho, Julio Justen, Marcio Morschbacher, Carlos de Abreu, Rui Sansonowski, and Jean Luc Formento. 2009. “Some Lapses of Time-Lapse Feasibility and Interpretation Studies.” 11th International Congress of the Brazilian Geophysical Society & EXPOGEF 2009, Salvador, Bahia, Brazil, 24-28 August 2009 3: 1675–80. https://doi.org/10.1190/sbgf2009-352.

Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017. “Attention Is All You Need.” In Advances in Neural Information Processing Systems, 5998–6008.

Veillard, A, O Morère, M Grout, and others. 2018. “Fast 3d Seismic Interpretation with Unsupervised Deep Learning: Application to a Potash Network in the North Sea.” 80th EAGE Conference. http://www.earthdoc.org/publication/publicationdetails/?publication=92124.

Veire, Helene Hafslund, Hilde Grude Borgos, and Martin Landrø. 2007. “Stochastic Inversion of Pressure and Saturation Changes from Time-Lapse Multi Component Data.” Geophys. Prospect. 55 (6): 805–18. https://doi.org/10.1111/j.1365-2478.2007.00651.x.

Vejbæk, O. V, F. R Mohamed, and J. V Herwanger. 2014. “4D seismic, 4D geomechanics and hydraulic stimulation in the low permeability South Arne chalk field.” First Break 32 (6): 139–48.

Vejbæk, O V, F R Mohamed, and J V Herwanger. 2014. “4d Seismic, 4d Geomechanics and Hydraulic Stimulation in the Low Permeability South Arne Chalk Field.” First Break 32 (6): 139–48.

Verma, Akhilesh K, Soumi Chaki, Aurobinda Routray, William K Mohanty, and Mamata Jenamani. 2014. “Quantification of Sand Fraction from Seismic Attributes Using Neuro-Fuzzy Approach.” J. Appl. Geophys. 111 (December): 141–55. https://doi.org/10.1016/j.jappgeo.2014.10.005.

Verma, Sumit, Tao Zhao, Kurt J Marfurt, and Deepak Devegowda. 2016. “Estimation of Total Organic Carbon and Brittleness Volume.” Interpretation 4 (3): T373–t385. https://doi.org/10.1190/int-2015-0166.1.

Viswanathan, R, and Pijush Samui. 2016b. “Determination of Rock Depth Using Artificial Intelligence Techniques.” Geoscience Frontiers 7 (1): 61–66. https://doi.org/10.1016/j.gsf.2015.04.002.

———. 2016a. “Determination of Rock Depth Using Artificial Intelligence Techniques.” Geoscience Frontiers 7 (1): 61–66. https://doi.org/10.1016/j.gsf.2015.04.002.

Walda, J, and D Gajewski. 2015. “Global Optimization of the CRS Operator Using a Genetic Algorithm: 77th Annual International Conference and Exhibition, EAGE.” Extended Abstracts, We N 107: 09.

Waldeland, A. U., and A. H. S. S. Solberg. 2017. “Salt Classification Using Deep Learning.” In 79th EAGE Conference and Exhibition 2017. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201700918.

Waldeland, A U, and A Solberg. 2017. “Salt Classification Using Deep Learning.” 79th EAGE Conference and Exhibition. http://www.earthdoc.org/publication/publicationdetails/?publication=88635.

Waldeland, A, A Jensen, L Gelius, and A Solberg. 2018. “Convolutional Neural Networks for Automated Seismic Interpretation.” Lead. Edge 37 (7): 529–37. https://doi.org/10.1190/tle37070529.1.

Waldeland, Anders, and A. Solberg. 2016. “3d Attributes and Classification of Salt Bodies on Unlabelled Datasets.” In 78th EAGE Conference and Exhibition 2016. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201600880.

Wang, Hui, J Florian Wellmann, Zhao Li, Xiangrong Wang, and Robert Y Liang. 2017. “A Segmentation Approach for Stochastic Geological Modeling Using Hidden Markov Random Fields.” Math. Geosci. 49 (2): 145–77. https://doi.org/10.1007/s11004-016-9663-9.

Wang, Jin, and Ta-Liang Teng. 1997. “Identification and Picking of S Phase Using an Artificial Neural Network.” Bull. Seismol. Soc. Am. 87 (5): 1140–49. https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/87/5/1140/120211.

Wang, K, J Lomask, and F Segovia. 2017. “Automatic, Geologic Layer-Constrained Well-Seismic Tie Through Blocked Dynamic Warping.” Interpretation 5 (3): Sj81–sj90. https://doi.org/10.1190/int-2016-0160.1.

Wang, L X, and J M Mendel. 1992. “Adaptive Minimum Prediction-Error Deconvolution and Source Wavelet Estimation Using Hopfield Neural Networks.” Geophysics. https://library.seg.org/doi/abs/10.1190/1.1443281.

Wang, Zhen, Haibin Di, Muhammad Amir Shafiq, Yazeed Alaudah, and Ghassan AlRegib. 2018. “Successful Leveraging of Image Processing and Machine Learning in Seismic Structural Interpretation: A Review.” The Leading Edge 37 (6): 451–61.

Wang, Zhijing. 1997. “Feasibility of Time-Lapse Seismic Reservoir Monitoring: The Physical Basis.” Lead. Edge 16 (9): 1327–30. https://doi.org/10.1190/1.1437796.

Wang, Zhijing, Michael E Cates, and Robert T Langan. 1998. “Seismic Monitoring of a CO 2 Flood in a Carbonate Reservoir: A Rock Physics Study.” Geophysics 63 (5): 1604–17. https://doi.org/10.1190/1.1444457.

Watkins, Christopher John Cornish Hellaby. 1989. “Learning from Delayed Rewards.”

Wei, S, O Yonglin, Z Qingcai, H Jiaqiang, and others. 2018. “Unsupervised Machine Learning: K-Means Clustering Velocity Semblance Auto-Picking.” 80th EAGE Conference. http://www.earthdoc.org/publication/publicationdetails/?publication=92299.

Weinzaepfel, Philippe, Jerome Revaud, Zaid Harchaoui, and Cordelia Schmid. 2013. “DeepFlow: Large Displacement Optical Flow with Deep Matching.” In Proceedings of the IEEE International Conference on Computer Vision, 1385–92.

Welly: Manage Subsurface Well Data. 2015. https://github.com/agile-geoscience/welly.

Wickman, FE. 1968. “Repose Period Patterns of Volcanoes. V. General Discussion and a Tentative Stochastic Model.” Arkiv for Mineralogi Och Geologi 4 (5): 351.

Widrow, B., and M. A. Lehr. 1990. “30 years of adaptive neural networks: perceptron Madaline, and backpropagation.” Proceedings of the IEEE 78 (9): 1415–42. https://doi.org/10.1109/5.58323.

Williams, Christopher KI. 1998. “Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond.” In Learning in Graphical Models, 599–621. Springer.

Williams, Christopher KI, and Carl Edward Rasmussen. 2006. Gaussian Processes for Machine Learning. Vol. 2. 3. MIT press Cambridge, MA.

Williams, R M, E Pascual-Cebrian, G Paton, and J C Gutmanis. 2016. “Evaluating the Gap Between Seismic-Scale and Well-Scale Observations of Structure - a North Sea Case Study.” 78th EAGE Conference and Exhibition 2016, no. June. https://doi.org/10.3997/2214-4609.201601167.

Wirgin, Armand. 2004. “The Inverse Crime.” arXiv Preprint Math-Ph/0401050.

Witten, Ian H, Eibe Frank, and Mark A Hall. 2005. “Practical Machine Learning Tools and Techniques.” Morgan Kaufmann, 578.

Worrall, Daniel E, Stephan J Garbin, Daniyar Turmukhambetov, and Gabriel J Brostow. 2017. “Interpretable Transformations with Encoder-Decoder Networks.” In Proceedings of the IEEE International Conference on Computer Vision, 5726–35.

Wu, Hao, and Bo Zhang. 2018. “A Deep Convolutional Encoder-Decoder Neural Network in Assisting Seismic Horizon Tracking,” April. http://arxiv.org/abs/1804.06814.

Xiating, F, W Yongjia, and L Shizong. 1995. “Neural Network Estimation Of Slope Stability [j].” Journal of Engineering Geology. http://en.cnki.com.cn/Article_en/CJFDTOTAL-GCDZ504.007.htm.

Xie, Peihong, Aiguo Zhou, and Bo Chai. 2019. “The Application of Long Short-Term Memory (LSTM) Method on Displacement Prediction of Multifactor-Induced Landslides.” IEEE Access 7: 54305–11.

Xie, Qizhe, Eduard Hovy, Minh-Thang Luong, and Quoc V Le. 2019. “Self-Training with Noisy Student Improves ImageNet Classification.” arXiv Preprint arXiv:1911.04252.

Xie, Saining, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He. 2017. “Aggregated Residual Transformations for Deep Neural Networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1492–1500.

Xie, Xiongyao, Hui Qin, Chao Yu, and Lanbo Liu. 2013. “An Automatic Recognition Algorithm for GPR Images of RC Structure Voids.” J. Appl. Geophys. 99 (December): 125–34. https://doi.org/10.1016/j.jappgeo.2013.02.016.

Xu, Bing, Naiyan Wang, Tianqi Chen, and Mu Li. 2015. “Empirical Evaluation of Rectified Activations in Convolutional Network.” arXiv Preprint arXiv:1505.00853.

Yilmaz, Öz. 2001. Seismic Data Analysis. Society of Exploration Geophysicists. https://doi.org/10.1190/1.9781560801580.

Yilmaz, Özdoğan. 2001. Seismic Data Analysis. Vol. 1. Society of exploration geophysicists Tulsa, OK.

———. 2003. Seismic Data Analysis : Processing, Inversion, and Interpretation of Seismic Data. Society of Exploration Geophysicists. https://doi.org/10.1190/1.9781560801580.

Yin, Zhen, Milana Ayzenberg, Colin MacBeth, Tao Feng, and Romain Chassagne. 2015. “Enhancement of Dynamic Reservoir Interpretation by Correlating Multiple 4d Seismic Monitors to Well Behavior.” Interpretation 3 (2): Sp35–sp52. https://doi.org/10.1190/int-2014-0194.1.

You, Lijun, Qigui Tan, Yili Kang, Chengyuan Xu, and Chong Lin. 2018. “Reconstruction and Prediction of Capillary Pressure Curve Based on Particle Swarm Optimization-Back Propagation Neural Network Method.” Petroleum 4 (3): 268–80. https://doi.org/10.1016/j.petlm.2018.03.004.

Youn, Hyoung-Sun, and Chi-Chih Chen. 2002. “Automatic GPR Target Detection and Clutter Reduction Using Neural Network.” In Ninth International Conference on Ground Penetrating Radar, 4758:579–83. International Society for Optics; Photonics. https://doi.org/10.1117/12.462229.

Yousefi, M, A Kamkar-Rouhani, and others. 2014. “Application of Staged Factor Analysis and Logistic Function to Create a Fuzzy Stream Sediment Geochemical Evidence Layer for Mineral Prospectivity Mapping.” Geochem. Explor. Environ. Analy. http://geea.lyellcollection.org/content/14/1/45.short.

Yu, Tianhe, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, and Sergey Levine. 2019. “Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.” arXiv Preprint arXiv:1910.10897.

Zabih, Ramin, and John Woodfill. 1994. “Non-Parametric Local Transforms for Computing Visual Correspondence.” In European Conference on Computer Vision, 151–58. Springer.

Zabihi Naeini, Ehsan, Henning Hoeber, Gordon Poole, and Hamid R Siahkoohi. 2009. “Simultaneous Multivintage Time-Shift Estimation.” Geophysics 74 (5): V109–21.

Zadhesh, Jamal, Seyed-Mohammad Esmaeil Jalali, and Ahmad Ramezanzadeh. 2014. “Estimation of Joint Trace Length Probability Distribution Function in Igneous, Sedimentary, and Metamorphic Rocks.” Arabian Journal of Geosciences 7 (6): 2353–61. https://doi.org/10.1007/s12517-013-0861-1.

Zagayevskiy, Y, and C V Deutsch. 2016. “Grid-Free Petroleum Reservoir Characterization with Truncated Pluri-Gaussian Simulation: Hekla Case Study.” Pet. Geosci. http://pg.lyellcollection.org/content/early/2016/06/23/petgeo2015-078.abstract.

Zaske, J, M Calvert, I Herbert, P Hickman, U Micksch, H Roende, and Maersk Oil. 2013. “4D Seismic as a tool to support well and reservoir management : Danish Chalk field examples,” 4976–80.

Zaske, J, M Calvert, I Herbert, P Hickman, U Micksch, H Roende, and Others. 2013. “4d Seismic as a Tool to Support Well and Reservoir Management: Danish Chalk Field Examples.” In 2013 SEG Annual Meeting, 4976–80. Society of Exploration Geophysicists.

Zaske, J, P Hickman, H Roende, S Mukund, S Halliday, and S Perrier. 2014b. “Dan Field Ocean Bottom Node (OBN) Survey - A Shallow Water Case History.” In 76th EAGE Conference and Exhibition 2014. Tu D202 08.

———. 2014a. “Dan Field Ocean Bottom Node (OBN) Survey - a Shallow Water Case History.” In 76th EAGE Conference and Exhibition 2014.

Zhang, B, T Zhao, X Jin, and K Marfurt. 2015. “Brittleness Evaluation of Resource Plays by Integrating Petrophysical and Seismic Data Analysis.” Interpretation 3 (2): T81–t92. https://doi.org/10.1190/int-2014-0144.1.

Zhang, C, C Frogner, M Araya-Polo, and others. 2014. “Machine-Learning Based Automated Fault Detection in Seismic Traces.” 76th EAGE Conference. http://www.earthdoc.org/publication/publicationdetails/?publication=76370.

Zhang, Lin, John Quieren, and James Schuelke. 2001. “Chapter 10 Self-Organizing Map (SOM) Network for Tracking Horizons and Classifying Seismic Traces.” In Handbook of Geophysical Exploration: Seismic Exploration, edited by Mary M Poulton, 30:155–70. Pergamon. https://doi.org/10.1016/s0950-1401(01)80024-0.

Zhang, Y, and K V Paulson. 1997. “Magnetotelluric Inversion Using Regularized Hopfield Neural Networks.” Geophys. Prospect. http://www.earthdoc.org/publication/publicationdetails/?publication=33881.

Zhao, Tao, Vikram Jayaram, Atish Roy, and Kurt J Marfurt. 2015. “A Comparison of Classification Techniques for Seismic Facies Recognition.” Interpretation 3 (4): Sae29–sae58. https://doi.org/10.1190/int-2015-0044.1.

Zhao, T, F Li, and K Marfurt. 2017. “Constraining Self-Organizing Map Facies Analysis with Stratigraphy: An Approach to Increase the Credibility in Automatic Seismic Facies Classification.” Interpretation 5 (2): T163–t171. https://doi.org/10.1190/int-2016-0132.1.

Zhao, T, J Zhang, F Li, and K Marfurt. 2016. “Characterizing a Turbidite System in Canterbury Basin, New Zealand, Using Seismic Attributes and Distance-Preserving Self-Organizing Maps.” Interpretation 4 (1): Sb79–sb89. https://doi.org/10.1190/int-2015-0094.1.

Zhao, X, and J M Mendel. 1988. “Minimum-Variance Deconvolution Using Artificial Neural Networks.” SEG Technical Program Expanded Abstracts. https://library.seg.org/doi/pdf/10.1190/1.1892433.

Zhao, Z, and L Gross. 2017. “Using Supervised Machine Learning to Distinguish Microseismic from Noise Events.” In SEG Technical Program Expanded Abstracts 2017, 2918–23. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17727697.1.

Zheng, Heliang, Jianlong Fu, Tao Mei, and Jiebo Luo. 2017. “Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition.” In Proceedings of the IEEE International Conference on Computer Vision, 5209–17.

Zheng, Z H, P Kavousi, and H B Di. 2014. “Multi-Attributes and Neural Network-Based Fault Detection in 3d Seismic Interpretation.” Adv. Mat. Res. https://www.scientific.net/AMR.838-841.1497.

Zhou, Junmei, Zhixiong Xue, Ziyun Du, Teri Melese, and Paul D. Boyer. 1988. “Relationship of tightly bound ADP and ATP to control and catalysis by chloroplast ATP synthase.” Biochemistry 27 (14): 5129–35. https://doi.org/10.1021/bi00414a027.

Zhu, Jun-Yan, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. “Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks.” In Proceedings of the IEEE International Conference on Computer Vision, 2223–32.

Zhu, L, C Zhang, Y Wei, X Zhou, Y Huang, and C Zhang. 2017. “Inversion of the Permeability of a Tight Gas Reservoir with the Combination of a Deep Boltzmann Kernel Extreme Learning Machine and Nuclear Magnetic Resonance ….” Interpretation. https://library.seg.org/doi/abs/10.1190/int-2016-0188.1.

Zhu, Weiqiang, and Gregory C Beroza. 2018. “PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method,” March. http://arxiv.org/abs/1803.03211.

Zinszer, K, K Morrison, A Verma, and JS Brownstein. 2017. “Spatial Determinants of Ebola Virus Disease Risk for the West African Epidemic.” PLoS Curr 9 (March).

Zitova, Barbara, and Jan Flusser. 2003. “Image Registration Methods: A Survey.” Image and Vision Computing 21 (11): 977–1000.

Ziyong, Z, Y Hangyu, and G Xiaodan. 2018. “Fuzzy Fusion of Geological and Geophysical Data for Mapping Hydrocarbon Potential Based on GIS.” Pet. Geosci. http://www.earthdoc.org/publication/publicationdetails/?publication=91266.

Zoph, Barret, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le. 2018. “Learning Transferable Architectures for Scalable Image Recognition.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 8697–8710.

Zuo, Renguang, and Emmanuel John M Carranza. 2011. “Support Vector Machine: A Tool for Mapping Mineral Prospectivity.” Comput. Geosci. 37 (12): 1967–75. https://doi.org/10.1016/j.cageo.2010.09.014.

Zuo, Renguang, and Yihui Xiong. 2018. “Big Data Analytics of Identifying Geochemical Anomalies Supported by Machine Learning Methods.” Nat. Resour. Res. 27 (1): 5–13. https://doi.org/10.1007/s11053-017-9357-0.

Zuo, Renguang, Yihui Xiong, Jian Wang, and Emmanuel John M Carranza. 2019. “Deep Learning and Its Application in Geochemical Mapping.” Earth-Science Reviews.