Ahmed H. Elsheikh
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Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates
AH Elsheikh, I Hoteit, MF Wheeler
Computer Methods in Applied Mechanics and Engineering 269, 515-537, 2014
Reservoir modeling for flow simulation by use of surfaces, adaptive unstructured meshes, and an overlapping-control-volume finite-element method
M Jackson, J Percival, P Mostaghimi, B Tollit, D Pavlidis, C Pain, J Gomes, ...
SPE Reservoir Evaluation & Engineering 18 (02), 115-132, 2015
Non-Linear Petrov-Galerkin Methods for Reduced Order Modelling of the Navier-Stokes Equations using a Mixed Finite Element Pair
D Xiao, F Fang, J Dud, CC Pain, IM Navon, AG Buchan, AH ElSheikh, ...
Computer methods in Applied mechanics and Engineering, 2012
Non-Linear Petrov-Galerkin Methods for Reduced Order Hyperbolic Equations and Discontinuous Finite Element Methods
F Fang, CC Pain, IM Navon, AH Elsheikh, J Dua, D Xiaoa
Journal of Computational Physics, 2012
Parametrization and Generation of Geological Models with Generative Adversarial Networks
S Chan, AH Elsheikh
arXiv preprint arXiv:1708.01810, 2017
Bayesian reservoir history matching considering model and parameter uncertainties
AH Elsheikh, MD Jackson, TC Laforce
Mathematical Geosciences 44 (5), 515-543, 2012
Iterative ensemble smoothers in the annealed importance sampling framework
AS Stordal, AH Elsheikh
Advances in Water Resources 86, 231-239, 2015
A machine learning approach for efficient uncertainty quantification using multiscale methods
S Chan, AH Elsheikh
Journal of Computational Physics 354, 493-511, 2018
Surface-based reservoir modelling for flow simulation
MD Jackson, GJ Hampson, JH Saunders, A El-Sheikh, GH Graham, ...
Geological Society, London, Special Publications 387 (1), 271-292, 2014
Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter
AH ELSheikh, CC Pain, F Fang, JLMA Gomes, IM Navon
Stochastic Environmental Research and Risk Assessment, 1-21, 2012
DR-RNN: A deep residual recurrent neural network for model reduction
JN Kani, AH Elsheikh
arXiv preprint arXiv:1709.00939, 2017
Sparse Calibration of Subsurface Flow Models Using Nonlinear Orthogonal Matching Pursuit and an Iterative Stochastic Ensemble Method
AH Elsheikh, MF Wheeler, I Hoteit
Advances in Water Resources, 2013
Robust optimisation of CO2 sequestration strategies under geological uncertainty using adaptive sparse grid surrogates
KR Petvipusit, AH Elsheikh, TC Laforce, PR King, MJ Blunt
Computational Geosciences 18 (5), 763-778, 2014
Nested sampling algorithm for subsurface flow model selection, uncertainty quantification, and nonlinear calibration
AH Elsheikh, MF Wheeler, I Hoteit
Water Resources Research 49 (12), 8383-8399, 2013
A reliable triangular mesh intersection algorithm and its application in geological modelling
AH Elsheikh, M Elsheikh
Engineering with Computers 30 (1), 143-157, 2014
Reservoir Modeling for Flow Simulation Using Surfaces, Adaptive Unstructured Meshes, and Control-Volume-Finite-Element Methods
MD Jackson, J Gomes, P Mostaghimi, JR Percival, BS Tollit, D Pavlidis, ...
SPE Reservoir Simulation Symposium, 2013
Parametric generation of conditional geological realizations using generative neural networks
S Chan, AH Elsheikh
Computational Geosciences, pp 1–28, 2019
Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems
AH Elsheikh, MF Wheeler, I Hoteit
Journal of Computational Physics 258, 319-337, 2014
Comparison of ensemble filtering algorithms and null space Monte Carlo for parameter estimation and uncertainty quantification using CO2 sequestration data
R Tavakoli, H Yoon, M Delshad, AH ElSheikh, MF Wheeler, BW Arnold
Water Resources Research, 2013
Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion
H Bazargan, M Christie, AH Elsheikh, M Ahmadi
Advances in Water Resources 86, 385-399, 2015
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