Generating Realistic Geology Conditioned on Physical Measurements with
Generative Adversarial Networks

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Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks

8 February 2018

William J. Bailey

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Papers citing "Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks"

18 / 18 papers shown

Title
Diffusion models for multivariate subsurface generation and efficient probabilistic inversion Roberto Miele Niklas Linde 233 0 0 21 Jul 2025
Deep autoregressive modeling for land use land cover C. Krapu Mark Borsuk Ryan Calder BDL 109 0 0 02 Jan 2024
Deep Stochastic Processes via Functional Markov Transition OperatorsNeural Information Processing Systems (NeurIPS), 2023 Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 201 5 0 24 May 2023
Generation of non-stationary stochastic fields using Generative Adversarial NetworksFrontiers in Earth Science (FES), 2022 A. Abdellatif A. Elsheikh Daniel Busby Philippe Berthet GAN 115 5 0 11 May 2022
Generative Models as Distributions of FunctionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Emilien Dupont Yee Whye Teh Arnaud Doucet 317 112 0 09 Feb 2021
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex GeomodelsComputational Geosciences (Comput. Geosci.), 2020 Yimin Liu L. Durlofsky AI4CE 133 70 0 16 Jul 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 251 200 0 16 Jun 2020
Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network Tianhao He Dongxiao Zhang AI4CE 180 10 0 02 Jun 2020
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching S. A. Canchumuni J. D. B. Castro Júlia Potratz A. Emerick M. Pacheco 115 55 0 08 May 2020
Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks Lingchen Zhu Tuanfeng Zhang GAN 76 4 0 23 Sep 2019
Physics-informed semantic inpainting: Application to geostatistical modelingJournal of Computational Physics (JCP), 2019 Q. Zheng L. Zeng Zhendan Cao George Karniadakis GAN 115 62 0 19 Sep 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 185 16 0 14 May 2019
Parametrization of stochastic inputs using generative adversarial networks with application in geology Shing Chan A. Elsheikh GAN OOD 153 36 0 07 Apr 2019
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother S. A. Canchumuni A. Emerick M. Pacheco OOD AI4CE 131 130 0 17 Dec 2018
Probabilistic Semantic Inpainting with Pixel Constrained CNNs Emilien Dupont S. Suresha 116 15 0 08 Oct 2018
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks Shing Chan A. Elsheikh GAN 129 4 0 20 Sep 2018
Parametric generation of conditional geological realizations using generative neural networks Shing Chan A. Elsheikh OOD GAN AI4CE 233 114 0 13 Jul 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 233 222 0 10 Jun 2018