Ahmed H. Elsheikh
Ahmed H. Elsheikh
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Zitiert von
Zitiert von
Parametric generation of conditional geological realizations using generative neural networks
S Chan, AH Elsheikh
Computational Geosciences, pp 1–28, 2019
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
DR-RNN: A deep residual recurrent neural network for model reduction
JN Kani, AH Elsheikh
arXiv preprint arXiv:1709.00939, 2017
A machine learning approach for efficient uncertainty quantification using multiscale methods
S Chan, AH Elsheikh
Journal of Computational Physics 354, 493-511, 2018
Parametrization and Generation of Geological Models with Generative Adversarial Networks
S Chan, AH Elsheikh
arXiv preprint arXiv:1708.01810, 2017
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
Reduced-Order Modeling of Subsurface Multi-phase Flow Models Using Deep Residual Recurrent Neural Networks
JN Kani, AH Elsheikh
Transport in Porous Media 126 (3), 713-741, 2019
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
Iterative ensemble smoothers in the annealed importance sampling framework
AS Stordal, AH Elsheikh
Advances in Water Resources 86, 231-239, 2015
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
Bayesian reservoir history matching considering model and parameter uncertainties
AH Elsheikh, MD Jackson, TC Laforce
Mathematical Geosciences 44 (5), 515-543, 2012
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
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
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
Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs
S Agada, S Geiger, A Elsheikh, S Oladyshkin
Petroleum Geoscience 23 (2), 270-283, 2017
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
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
Parametrization of stochastic inputs using generative adversarial networks with application in geology
S Chan, AH Elsheikh
Frontiers in Water 2, 5, 2020
Accounting for model error in Bayesian solutions to hydrogeophysical inverse problems using a local basis approach
C Köpke, J Irving, AH Elsheikh
Advances in Water Resources 116, 195-207, 2018
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