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Parametric generation of conditional geological realizations using
  generative neural networks
v1v2 (latest)

Parametric generation of conditional geological realizations using generative neural networks

13 July 2018
Shing Chan
A. Elsheikh
    OODGANAI4CE
ArXiv (abs)PDFHTML

Papers citing "Parametric generation of conditional geological realizations using generative neural networks"

14 / 14 papers shown
Title
Multiscale Neural Operator: Learning Fast and Grid-independent PDE
  Solvers
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
Björn Lütjens
Catherine H. Crawford
C. Watson
C. Hill
Dava Newman
AI4CE
52
10
0
23 Jul 2022
Generation of non-stationary stochastic fields using Generative
  Adversarial Networks
Generation of non-stationary stochastic fields using Generative Adversarial Networks
A. Abdellatif
A. Elsheikh
Daniel Busby
Philippe Berthet
GAN
36
5
0
11 May 2022
Deep learning for prediction of complex geology ahead of drilling
Deep learning for prediction of complex geology ahead of drilling
K. Fossum
S. Alyaev
J. Tveranger
A. Elsheikh
AI4CE
34
4
0
06 Apr 2021
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
77
61
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 Geomodels
Yimin Liu
L. Durlofsky
AI4CE
55
62
0
16 Jul 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
57
48
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 Parameterization
Su Jiang
L. Durlofsky
56
18
0
30 Apr 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
26
2
0
08 Jan 2020
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
103
43
0
26 Jun 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
64
13
0
14 May 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
25
48
0
04 Apr 2019
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
61
115
0
17 Dec 2018
A Deep-Learning-Based Geological Parameterization for History Matching
  Complex Models
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models
Yimin Liu
Wenyue Sun
L. Durlofsky
56
83
0
07 Jul 2018
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GANAI4CE
132
209
0
10 Jun 2018
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