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

Model Calibration ◽

Flow Model ◽

Subsurface Flow ◽

Randomized Maximum Likelihood

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

Computational Geosciences ◽

10.1007/s10596-021-10112-8 ◽

2021 ◽

Author(s):

Syamil Mohd Razak ◽

Behnam Jafarpour

Keyword(s):

Model Calibration ◽

Flow Model ◽

Subsurface Flow ◽

Generative Adversarial Networks ◽

Adversarial Networks

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 ◽

Integration of Distributed Gauss-Newton with Randomized Maximum Likelihood Method for Uncertainty Quantification of Reservoir Performance

10.2118/182639-ms ◽

2017 ◽

Cited By ~ 5

Author(s):

Chaohui Chen ◽

Guohua Gao ◽

Ruijian Li ◽

Richard Cao ◽

Tianhong Chen ◽

...

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Likelihood Method ◽

Reservoir Performance ◽

Randomized Maximum Likelihood

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 ◽

Bayesian History Matching and Uncertainty Quantification under Sparse Priors: A Randomized Maximum Likelihood Approach

10.2118/163656-ms ◽

2013 ◽

Cited By ~ 2

Author(s):

Momammadreza Khaninezhad ◽

Behnam Jafarpour

Keyword(s):

Maximum Likelihood ◽

History Matching ◽

Maximum Likelihood Approach ◽

Likelihood Approach ◽

Randomized Maximum Likelihood ◽

Sparse Priors

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 ◽