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1807.02716
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A Deep-Learning-Based Geological Parameterization for History Matching Complex Models
Mathematical Geosciences (Math. Geosci.), 2018
7 July 2018
Yimin Liu
Wenyue Sun
L. Durlofsky
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Papers citing
"A Deep-Learning-Based Geological Parameterization for History Matching Complex Models"
17 / 17 papers shown
Conditional Deep Generative Models for Belief State Planning
Antoine Bigeard
Anthony Corso
Mykel J. Kochenderfer
AI4CE
196
0
0
16 May 2025
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Jun Yu Li
Dongxiao Zhang
Tianhao He
Q. Zheng
AI4CE
229
13
0
28 May 2022
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Valentin Breaz
Richard D. Wilkinson
204
0
0
17 Apr 2022
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology
Journal of Computational Physics (JCP), 2022
Y. Nasir
L. Durlofsky
OffRL
AI4CE
148
29
0
24 Mar 2022
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Water Resources Research (WRR), 2021
Zitong Zhou
N. Zabaras
D. Tartakovsky
198
28
0
24 Oct 2021
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
International 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
187
65
0
09 May 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
184
16
0
10 Apr 2021
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems
Journal of Computational Physics (JCP), 2021
Yin Xia
N. Zabaras
244
29
0
04 Feb 2021
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
Computational Geosciences (Comput. Geosci.), 2020
Yimin Liu
L. Durlofsky
AI4CE
160
70
0
16 Jul 2020
Objective-Sensitive Principal Component Analysis for High-Dimensional Inverse Problems
Computational Geosciences (Comput. Geosci.), 2020
M. Elizarev
A. Mukhin
A. Khlyupin
96
4
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
129
56
0
08 May 2020
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization
Computational Geosciences (Comput. Geosci.), 2020
Su Jiang
L. Durlofsky
310
20
0
30 Apr 2020
Multiphase flow prediction with deep neural networks
Gege Wen
Meng Tang
S. Benson
208
6
0
21 Oct 2019
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
Journal of Computational Physics (JCP), 2019
Meng Tang
Yimin Liu
L. Durlofsky
AI4CE
246
306
0
16 Aug 2019
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities
S. Mo
N. Zabaras
Xiaoqing Shi
Jichun Wu
387
43
0
26 Jun 2019
Parametrization of stochastic inputs using generative adversarial networks with application in geology
Shing Chan
A. Elsheikh
GAN
OOD
179
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
148
130
0
17 Dec 2018
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