| Parametric generation of conditional geological realizations using generative neural networks S Chan, AH Elsheikh Computational Geosciences, pp 1–28, 2019 | 170 | 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 | 122 | 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 | 117 | 2015 |
| A machine learning approach for efficient uncertainty quantification using multiscale methods S Chan, AH Elsheikh Journal of Computational Physics 354, 493-511, 2018 | 108 | 2018 |
| DR-RNN: A deep residual recurrent neural network for model reduction JN Kani, AH Elsheikh arXiv preprint arXiv:1709.00939, 2017 | 105 | 2017 |
| Parametrization and Generation of Geological Models with Generative Adversarial Networks S Chan, AH Elsheikh arXiv preprint arXiv:1708.01810, 2017 | 105 | 2017 |
| 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 | 104 | 2019 |
| 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 | 97 | 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 | 80 | 2012 |
| Iterative ensemble smoothers in the annealed importance sampling framework AS Stordal, AH Elsheikh Advances in Water Resources 86, 231-239, 2015 | 69 | 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 | 62 | 2014 |
| Bayesian reservoir history matching considering model and parameter uncertainties AH Elsheikh, MD Jackson, TC Laforce Mathematical Geosciences 44 (5), 515-543, 2012 | 61 | 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 | 58 | 2015 |
| 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 | 55 | 2017 |
| Parametrization of stochastic inputs using generative adversarial networks with application in geology S Chan, AH Elsheikh Frontiers in Water 2, 5, 2020 | 52 | 2020 |
| 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 | 52 | 2013 |
| Reservoir modeling for flow simulation using surfaces, adaptive unstructured meshes and control-volume-finite-element methods MD Jackson, JL Gomes, P Mostaghimi, JR Percival, BS Tollit, D Pavlidis, ... SPE Reservoir Simulation Conference?, SPE-163633-MS, 2013 | 48 | 2013 |
| 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 | 46 | 2018 |
| 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 | 45 | 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 | 45 | 2012 |
Mary F. WheelerUTAustinVerified email at ices.utexas.edu
