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ORCIDAhmed H. Elsheikh
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Journal Articles
- 2023
[j12]Mosayeb Shams
, Ahmed H. Elsheikh:
Gym-preCICE: Reinforcement learning environments for active flow control. SoftwareX 23: 101446 (2023)- 2022
- [j11]Atish Dixit, Ahmed H. Elsheikh:
Stochastic optimal well control in subsurface reservoirs using reinforcement learning. Eng. Appl. Artif. Intell. 114: 105106 (2022) - [j10]Alhasan Abdellatif, Ahmed H. Elsheikh, Gavin Graham, Daniel Busby, Philippe Berthet:
Generating unrepresented proportions of geological facies using Generative Adversarial Networks. Comput. Geosci. 162: 105085 (2022) - [j9]Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed H. Elsheikh:
Verification of a real-time ensemble-based method for updating earth model based on GAN. J. Comput. Sci. 65: 101876 (2022) - 2019
- [j8]Alexander Tarakanov, Ahmed H. Elsheikh:
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models. J. Comput. Phys. 399 (2019) - 2018
- [j7]Shing Chan, Ahmed H. Elsheikh:
A machine learning approach for efficient uncertainty quantification using multiscale methods. J. Comput. Phys. 354: 493-511 (2018) - 2015
- [j6]Laureline Josset, Vasily V. Demyanov, Ahmed H. Elsheikh, Ivan Lunati:
Accelerating Monte Carlo Markov chains with proxy and error models. Comput. Geosci. 85: 38-48 (2015) - 2014
- [j5]Ahmed H. Elsheikh, Mustafa Elsheikh:
A consistent octree hanging node elimination algorithm for hexahedral mesh generation. Adv. Eng. Softw. 75: 86-100 (2014) - [j4]Ahmed H. Elsheikh, Mustafa Elsheikh:
A reliable triangular mesh intersection algorithm and its application in geological modelling. Eng. Comput. 30(1): 143-157 (2014) - [j3]Ahmed H. Elsheikh, Mary F. Wheeler, Ibrahim Hoteit:
Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems. J. Comput. Phys. 258: 319-337 (2014) - 2013
- [j2]Fangxin Fang, Christopher C. Pain, I. M. Navon, Ahmed H. Elsheikh, Juan Du, Dunhui Xiao:
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods. J. Comput. Phys. 234: 540-559 (2013) - [j1]Ahmed H. Elsheikh, Mary F. Wheeler, Ibrahim Hoteit:
An iterative stochastic ensemble method for parameter estimation of subsurface flow models. J. Comput. Phys. 242: 696-714 (2013)
Conference and Workshop Papers
- 2021
- [c1]Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed H. Elsheikh:
Deep Learning for Prediction of Complex Geology Ahead of Drilling. ICCS (2) 2021: 466-479
Informal and Other Publications
- 2023
- [i18]Mosayeb Shams, Ahmed H. Elsheikh:
Gym-preCICE: Reinforcement Learning Environments for Active Flow Control. CoRR abs/2305.02033 (2023) - [i17]Alhasan Abdellatif, Ahmed H. Elsheikh:
Generating Infinite-Resolution Texture using GANs with Patch-by-Patch Paradigm. CoRR abs/2309.02340 (2023) - 2022
- [i16]Sergey Alyaev, Ahmed H. Elsheikh:
Direct multi-modal inversion of geophysical logs using deep learning. CoRR abs/2201.01871 (2022) - [i15]Alhasan Abdellatif, Ahmed H. Elsheikh, Gavin Graham, Daniel Busby, Philippe Berthet:
Generating unrepresented proportions of geological facies using Generative Adversarial Networks. CoRR abs/2203.09639 (2022) - [i14]Alhasan Abdellatif, Ahmed H. Elsheikh, Daniel Busby, Philippe Berthet:
Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data. CoRR abs/2205.05469 (2022) - [i13]Sergey Alyaev, Jan Tveranger, Kristian Fossum, Ahmed H. Elsheikh:
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network. CoRR abs/2207.01374 (2022) - [i12]Atish Dixit, Ahmed H. Elsheikh:
Robust optimal well control using an adaptive multi-grid reinforcement learning framework. CoRR abs/2207.03253 (2022) - [i11]Atish Dixit, Ahmed H. Elsheikh:
Stochastic optimal well control in subsurface reservoirs using reinforcement learning. CoRR abs/2207.03456 (2022) - [i10]Atish Dixit, Ahmed H. Elsheikh:
A Multilevel Reinforcement Learning Framework for PDE-based Control. CoRR abs/2210.08400 (2022) - 2021
- [i9]Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed H. Elsheikh:
Deep learning for prediction of complex geology ahead of drilling. CoRR abs/2104.02550 (2021) - 2020
- [i8]Alexander Tarakanov, Ahmed H. Elsheikh:
Optimal Bayesian experimental design for subsurface flow problems. CoRR abs/2008.03989 (2020) - 2019
- [i7]Shing Chan, Ahmed H. Elsheikh:
Parametrization of stochastic inputs using generative adversarial networks with application in geology. CoRR abs/1904.03677 (2019) - [i6]Alexander Tarakanov, Ahmed H. Elsheikh:
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models. CoRR abs/1909.01648 (2019) - 2018
- [i5]Shing Chan, Ahmed H. Elsheikh:
Parametric generation of conditional geological realizations using generative neural networks. CoRR abs/1807.05207 (2018) - [i4]Shing Chan, Ahmed H. Elsheikh:
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks. CoRR abs/1809.07748 (2018) - [i3]J. Nagoor Kani, Ahmed H. Elsheikh:
Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks. CoRR abs/1810.10422 (2018) - 2017
- [i2]J. Nagoor Kani, Ahmed H. Elsheikh:
DR-RNN: A deep residual recurrent neural network for model reduction. CoRR abs/1709.00939 (2017) - [i1]Shing Chan, Ahmed H. Elsheikh:
A machine learning approach for efficient uncertainty quantification using multiscale methods. CoRR abs/1711.04315 (2017)
Coauthor Index
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