Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification

Model Calibration ◽

Flow Model ◽

Subsurface Flow ◽

Generative Adversarial Networks ◽

Adversarial Networks

Sparse Randomized Maximum Likelihood (SpRML) for subsurface flow model calibration and uncertainty quantification

Advances in Water Resources ◽

10.1016/j.advwatres.2014.02.005 ◽

2014 ◽

Vol 69 ◽

pp. 23-37 ◽

Cited By ~ 9

Author(s):

Mohammadreza M. Khaninezhad ◽

Behnam Jafarpour

Keyword(s):

Maximum Likelihood ◽

Model Calibration ◽

Flow Model ◽

Subsurface Flow ◽

Randomized Maximum Likelihood

A distance transform for continuous parameterization of discrete geologic facies for subsurface flow model calibration

Water Resources Research ◽

10.1002/2016wr019853 ◽

2017 ◽

Vol 53 (10) ◽

pp. 8226-8249 ◽

Cited By ~ 9

Author(s):

Siavash Hakim-Elahi ◽

Behnam Jafarpour

Keyword(s):

Model Calibration ◽

Flow Model ◽

Subsurface Flow ◽

Distance Transform ◽

Continuous Parameterization

A generalized grid connectivity-based parameterization for subsurface flow model calibration

Water Resources Research ◽

10.1029/2010wr009982 ◽

2011 ◽

Vol 47 (6) ◽

Cited By ~ 39

Author(s):

Eric W. Bhark ◽

Behnam Jafarpour ◽

Akhil Datta-Gupta

Keyword(s):

Model Calibration ◽

Flow Model ◽

Uncertainty quantification of channel reservoirs assisted by cluster analysis and deep convolutional generative adversarial networks

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2019.106742 ◽

2020 ◽

Vol 187 ◽

pp. 106742 ◽

Cited By ~ 1

Author(s):

Byeongcheol Kang ◽

Jonggeun Choe

Keyword(s):

Cluster Analysis ◽

Generative Adversarial Networks ◽

Adversarial Networks

Sparse geologic dictionaries for subsurface flow model calibration: Part I. Inversion formulation

Advances in Water Resources ◽

10.1016/j.advwatres.2011.09.002 ◽

2012 ◽

Vol 39 ◽

pp. 106-121 ◽

Cited By ~ 50

Author(s):

Mohammadreza Mohammad Khaninezhad ◽

Behnam Jafarpour ◽

Lianlin Li

Keyword(s):

Model Calibration ◽

Flow Model ◽

Frontiers in PDE-Constrained Optimization - The IMA Volumes in Mathematics and its Applications ◽

Exploiting Sparsity in Solving PDE-Constrained Inverse Problems: Application to Subsurface Flow Model Calibration

10.1007/978-1-4939-8636-1_12 ◽

2018 ◽

pp. 399-434 ◽

Cited By ~ 1

Author(s):

Azarang Golmohammadi ◽

M-Reza M. Khaninezhad ◽

Behnam Jafarpour

Keyword(s):

Inverse Problems ◽

Model Calibration ◽

Flow Model ◽

Nested sampling algorithm for subsurface flow model selection, uncertainty quantification, and nonlinear calibration

Water Resources Research ◽

10.1002/2012wr013406 ◽

2013 ◽

Vol 49 (12) ◽

pp. 8383-8399 ◽

Cited By ~ 18

Author(s):

A. H. Elsheikh ◽

M. F. Wheeler ◽

I. Hoteit

Keyword(s):

Model Selection ◽

Flow Model ◽

Subsurface Flow ◽

Sampling Algorithm ◽

Nested Sampling ◽

Model Selection Uncertainty ◽

Nonlinear Calibration

Sparsity-Promoting Solution of Subsurface Flow Model Calibration Inverse Problems

Advances in Hydrogeology ◽

10.1007/978-1-4614-6479-2_4 ◽

2013 ◽

pp. 73-94 ◽

Cited By ~ 7

Author(s):

Behnam Jafarpour

Keyword(s):

Inverse Problems ◽

Model Calibration ◽

Flow Model ◽

Sparse geologic dictionaries for subsurface flow model calibration: Part II. Robustness to uncertainty

Advances in Water Resources ◽

10.1016/j.advwatres.2011.10.005 ◽

2012 ◽

Vol 39 ◽

pp. 122-136 ◽

Cited By ~ 27

Author(s):

Mohammadreza Mohammad Khaninezhad ◽

Behnam Jafarpour ◽

Lianlin Li

Keyword(s):

Model Calibration ◽

Flow Model ◽

Subsurface Flow Model Calibration with a Spectral-Domain Parameterization Adaptive to Grid Connectivity and Prior Model Information

Mathematical Geosciences ◽

10.1007/s11004-012-9414-5 ◽

2012 ◽

Vol 44 (6) ◽

pp. 673-710 ◽

Cited By ~ 1

Author(s):

Eric Bhark ◽

Akhil Datta-Gupta ◽

Behnam Jafarpour

Keyword(s):

Model Calibration ◽

Flow Model ◽

Subsurface Flow ◽

Spectral Domain ◽

Prior Model