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Training-image based geostatistical inversion using a spatial generative
  adversarial neural network
v1v2 (latest)

Training-image based geostatistical inversion using a spatial generative adversarial neural network

16 August 2017
E. Laloy
Romain Hérault
D. Jacques
N. Linde
    DiffMGAN
ArXiv (abs)PDFHTML

Papers citing "Training-image based geostatistical inversion using a spatial generative adversarial neural network"

50 / 55 papers shown
The future of AI in critical mineral exploration
The future of AI in critical mineral exploration
Jef Caers
33
0
0
02 Dec 2025
Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
Roberto Miele
Leonardo Azevedo
GANAI4CE
212
0
0
02 Dec 2025
Diffusion-Inversion-Net (DIN): An End-to-End Direct Probabilistic Framework for Characterizing Hydraulic Conductivities and Quantifying Uncertainty
Diffusion-Inversion-Net (DIN): An End-to-End Direct Probabilistic Framework for Characterizing Hydraulic Conductivities and Quantifying Uncertainty
Xun Zhang
Weijie Yang
J. Zhang
Simin Jiang
DiffMAI4CE
180
0
0
21 Nov 2025
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later
Arnaud Vadeboncoeur
Gregory Duthé
Mark Girolami
Eleni Chatzi
AI4CE
128
0
0
24 Sep 2025
3D latent diffusion models for parameterizing and history matching multiscenario facies systems
3D latent diffusion models for parameterizing and history matching multiscenario facies systems
Guido Di Federico
L. Durlofsky
DiffMAI4CE
97
2
0
14 Aug 2025
Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
Xiong Xiong
Zhuo Zhang
Rongchun Hu
Chen Gao
Zichen Deng
126
1
0
01 Aug 2025
Diffusion models for multivariate subsurface generation and efficient probabilistic inversion
Diffusion models for multivariate subsurface generation and efficient probabilistic inversion
Roberto Miele
Niklas Linde
283
0
0
21 Jul 2025
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
Alex Glyn-Davies
Arnaud Vadeboncoeur
O. Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
PINN
404
1
0
10 Sep 2024
Latent diffusion models for parameterization and data assimilation of
  facies-based geomodels
Latent diffusion models for parameterization and data assimilation of facies-based geomodels
Guido Di Federico
L. Durlofsky
DiffMAI4CE
201
11
0
21 Jun 2024
CCWSIM: An Efficient and Fast Wavelet-Based CCSIM for Categorical
  Characterization of Large-Scale
CCWSIM: An Efficient and Fast Wavelet-Based CCSIM for Categorical Characterization of Large-Scale
Mojtaba Bavandsavadkoohi
E. Gloaguen
B. Tokhmechi
Alireza Arab-Amiri
Bernard Giroux
49
0
0
30 Mar 2024
History Matching for Geological Carbon Storage using Data-Space
  Inversion with Spatio-Temporal Data Parameterization
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data ParameterizationInternational Journal of Greenhouse Gas Control (IJGGC), 2023
Su Jiang
L. Durlofsky
AI4CE
206
20
0
05 Oct 2023
Subsurface Characterization using Ensemble-based Approaches with Deep
  Generative Models
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models
Jichao Bao
H. Yoon
Jonghyun Lee
189
0
0
02 Oct 2023
Bayesian tomography using polynomial chaos expansion and deep generative
  networks
Bayesian tomography using polynomial chaos expansion and deep generative networks
G. Meles
Macarena Amaya
Shiran Levy
S. Marelli
N. Linde
235
2
0
09 Jul 2023
A stable deep adversarial learning approach for geological facies
  generation
A stable deep adversarial learning approach for geological facies generationComputational Geosciences (Comput. Geosci.), 2023
F. Bhavsar
N. Desassis
F. Ors
T. Romary
GANAI4CE
150
4
0
12 May 2023
VI-DGP: A variational inference method with deep generative prior for
  solving high-dimensional inverse problems
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problemsJournal of Scientific Computing (J. Sci. Comput.), 2023
Yingzhi Xia
Qifeng Liao
Jinglai Li
291
4
0
22 Feb 2023
Generation of non-stationary stochastic fields using Generative
  Adversarial Networks
Generation of non-stationary stochastic fields using Generative Adversarial NetworksFrontiers in Earth Science (FES), 2022
A. Abdellatif
A. Elsheikh
Daniel Busby
Philippe Berthet
GAN
127
5
0
11 May 2022
Generating unrepresented proportions of geological facies using
  Generative Adversarial Networks
Generating unrepresented proportions of geological facies using Generative Adversarial NetworksComputational Geosciences (Comput. Geosci.), 2022
A. Abdellatif
A. Elsheikh
G. Graham
Daniel Busby
Philippe Berthet
CVBMGANAI4CE
127
10
0
17 Mar 2022
Deep Learning for Simultaneous Inference of Hydraulic and Transport
  Properties
Deep Learning for Simultaneous Inference of Hydraulic and Transport PropertiesWater Resources Research (WRR), 2021
Zitong Zhou
N. Zabaras
D. Tartakovsky
182
28
0
24 Oct 2021
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic
  Machine Learning
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning
Sayan Ghosh
G. A. Padmanabha
Cheng Peng
Steven Atkinson
Valeria Andreoli
Piyush Pandita
T. Vandeputte
N. Zabaras
Liping Wang
AI4CE
164
23
0
17 Aug 2021
Seismic Inverse Modeling Method based on Generative Adversarial Network
Seismic Inverse Modeling Method based on Generative Adversarial Network
Pengfei Xie
Yanshu Yin
Jiagen Hou
Mei Chen
Lixin Wang
GAN
187
1
0
08 Jun 2021
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow
  for Commercial-Scale Geologic Carbon Storage
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon StorageInternational Journal of Greenhouse Gas Control (IJGGC), 2021
Hewei Tang
P. Fu
C. Sherman
Jize Zhang
X. Ju
Franccois P. Hamon
N. Azzolina
Matthew Burton-Kelly
J. Morris
AI4CE
172
64
0
09 May 2021
Fast ABC with joint generative modelling and subset simulation
Fast ABC with joint generative modelling and subset simulationInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2021
Eliane Maalouf
D. Ginsbourger
N. Linde
216
0
0
16 Apr 2021
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
173
15
0
10 Apr 2021
A Bayesian Multiscale Deep Learning Framework for Flows in Random Media
A Bayesian Multiscale Deep Learning Framework for Flows in Random MediaFoundations of Data Science (FODS), 2021
G. A. Padmanabha
N. Zabaras
BDLAI4CE
157
6
0
08 Mar 2021
Bayesian multiscale deep generative model for the solution of
  high-dimensional inverse problems
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problemsJournal of Computational Physics (JCP), 2021
Yin Xia
N. Zabaras
210
29
0
04 Feb 2021
Solving inverse problems using conditional invertible neural networks
Solving inverse problems using conditional invertible neural networksJournal of Computational Physics (JCP), 2020
G. A. Padmanabha
N. Zabaras
AI4CE
225
71
0
31 Jul 2020
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow
  Example
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example
Nanzhe Wang
Haibin Chang
Dongxiao Zhang
AI4CE
180
74
0
28 Jul 2020
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex GeomodelsComputational Geosciences (Comput. Geosci.), 2020
Yimin Liu
L. Durlofsky
AI4CE
146
69
0
16 Jul 2020
Bayesian Sparse learning with preconditioned stochastic gradient MCMC
  and its applications
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications
Yating Wang
Wei Deng
Guang Lin
163
13
0
29 Jun 2020
A Comprehensive Review of Deep Learning Applications in Hydrology and
  Water Resources
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
M. Sit
B. Demiray
Z. Xiang
Gregory Ewing
Y. Sermet
Ibrahim Demir
AI4ClAI4CE
206
410
0
17 Jun 2020
70 years of machine learning in geoscience in review
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
VLMAI4CE
279
202
0
16 Jun 2020
Informed Proposal Monte Carlo
Informed Proposal Monte CarloGeophysical Journal International (GJI), 2020
Sarouyeh Khoshkholgh
A. Zunino
K. Mosegaard
125
17
0
29 May 2020
Recent Developments Combining Ensemble Smoother and Deep Generative
  Networks for Facies History Matching
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
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series
  Parameterization
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series ParameterizationComputational Geosciences (Comput. Geosci.), 2020
Su Jiang
L. Durlofsky
292
19
0
30 Apr 2020
Using Deep Learning to Improve Ensemble Smoother: Applications to
  Subsurface Characterization
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface CharacterizationWater Resources Research (WRR), 2020
Jiangjiang Zhang
Q. Zheng
Laosheng Wu
L. Zeng
UQCVOOD
226
50
0
21 Feb 2020
Pixel-wise Conditioned Generative Adversarial Networks for Image
  Synthesis and Completion
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and CompletionNeurocomputing (Neurocomputing), 2020
Cyprien Ruffino
Romain Hérault
E. Laloy
Gilles Gasso
GAN
104
9
0
04 Feb 2020
Bayesian Inversion Of Generative Models For Geologic Storage Of Carbon
  Dioxide
Bayesian Inversion Of Generative Models For Geologic Storage Of Carbon Dioxide
G. Graham
Yan Chen
GANBDL
122
2
0
08 Jan 2020
Pixel-wise Conditioning of Generative Adversarial Networks
Pixel-wise Conditioning of Generative Adversarial NetworksThe European Symposium on Artificial Neural Networks (ESANN), 2019
Cyprien Ruffino
Romain Hérault
E. Laloy
Gilles Gasso
AI4CEGAN
77
0
0
02 Nov 2019
Deep Learning of Subsurface Flow via Theory-guided Neural Network
Deep Learning of Subsurface Flow via Theory-guided Neural NetworkJournal of Hydrology (J. Hydrol.), 2019
Nanzhe Wang
Dongxiao Zhang
Haibin Chang
Heng Li
AI4CE
360
272
0
24 Oct 2019
Multiphase flow prediction with deep neural networks
Multiphase flow prediction with deep neural networks
Gege Wen
Meng Tang
S. Benson
197
6
0
21 Oct 2019
Generating Geological Facies Models with Fidelity to Diversity and
  Statistics of Training Images using Improved Generative Adversarial Networks
Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
Lingchen Zhu
Tuanfeng Zhang
GAN
86
4
0
23 Sep 2019
Physics-informed semantic inpainting: Application to geostatistical
  modeling
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
Integration of adversarial autoencoders with residual dense
  convolutional networks for estimation of non-Gaussian hydraulic
  conductivities
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities
S. Mo
N. Zabaras
Xiaoqing Shi
Jichun Wu
383
43
0
26 Jun 2019
Dilated Spatial Generative Adversarial Networks for Ergodic Image
  Generation
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
Cyprien Ruffino
Romain Hérault
E. Laloy
Gilles Gasso
GAN
80
1
0
15 May 2019
DeepFlow: History Matching in the Space of Deep Generative Models
DeepFlow: History Matching in the Space of Deep Generative Models
L. Mosser
O. Dubrule
M. Blunt
189
16
0
14 May 2019
Parametrization of stochastic inputs using generative adversarial
  networks with application in geology
Parametrization of stochastic inputs using generative adversarial networks with application in geology
Shing Chan
A. Elsheikh
GANOOD
165
36
0
07 Apr 2019
Accurate and Fast reconstruction of Porous Media from Extremely Limited
  Information Using Conditional Generative Adversarial Network
Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network
Junxi Feng
Xiaohai He
Qizhi Teng
Chao Ren
Honggang Chen
Yang Li
AI4CE3DVGAN
131
55
0
04 Apr 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate
  Modeling and Uncertainty Quantification without Labeled Data
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu
N. Zabaras
P. Koutsourelakis
P. Perdikaris
PINNAI4CE
340
965
0
18 Jan 2019
Deep autoregressive neural networks for high-dimensional inverse
  problems in groundwater contaminant source identification
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification
S. Mo
N. Zabaras
Xiaoqing Shi
Jichun Wu
AI4CE
184
224
0
22 Dec 2018
Towards a Robust Parameterization for Conditioning Facies Models Using
  Deep Variational Autoencoders and Ensemble Smoother
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother
S. A. Canchumuni
A. Emerick
M. Pacheco
OODAI4CE
143
129
0
17 Dec 2018
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