Articles with public access mandates - Ahmed H. ElsheikhLearn more
Not available anywhere: 4
Iterative ensemble smoothers in the annealed importance sampling framework
AS Stordal, AH Elsheikh
Advances in Water Resources 86, 231-239, 2015
Mandates: Research Council of Norway
Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method
S Alyaev, A Ambrus, N Jahani, AH Elsheikh
SPWLA 63rd Annual Logging Symposium, 2022
Mandates: Science Foundation Ireland, Research Council of Norway
DISTINGUISH Workflow: a New Paradigm of Dynamic Well Placement Using Generative Machine Learning
S Alyaev, K Fossum, HE Djecta, J Tveranger, A Elsheikh
ECMOR 2024 2024 (1), 1-16, 2024
Mandates: Research Council of Norway
Robust Well-Production Control Using Surrogate Assisted Reinforcement Learning
A Dixit, A Elsheikh
ECMOR 2022 2022 (1), 1-9, 2022
Mandates: UK Engineering and Physical Sciences Research Council
Available somewhere: 18
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
Mandates: Swiss National Science Foundation
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models
A Tarakanov, AH Elsheikh
Journal of Computational Physics 399, 108909, 2019
Mandates: European Commission
Accelerating Monte Carlo Markov chains with proxy and error models
L Josset, V Demyanov, AH Elsheikh, I Lunati
Computers & Geosciences 85, 38-48, 2015
Mandates: Swiss National Science Foundation
Verification of a real-time ensemble-based method for updating earth model based on GAN
K Fossum, S Alyaev, J Tveranger, AH Elsheikh
Journal of Computational Science 65, 101876, 2022
Mandates: Science Foundation Ireland, Research Council of Norway
Stochastic optimal well control in subsurface reservoirs using reinforcement learning
A Dixit, AH ElSheikh
Engineering Applications of Artificial Intelligence 114, 105106, 2022
Mandates: UK Engineering and Physical Sciences Research Council
Direct Multi‐Modal Inversion of Geophysical Logs Using Deep Learning
S Alyaev, AH Elsheikh
Earth and Space Science 9 (9), e2021EA002186, 2022
Mandates: Research Council of Norway
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements
MH Rammay, S Alyaev, AH Elsheikh
Geophysical Journal International 230 (3), 1800-1817, 2022
Mandates: Science Foundation Ireland, Research Council of Norway
Optimal Bayesian experimental design for subsurface flow problems
A Tarakanov, AH Elsheikh
Computer Methods in Applied Mechanics and Engineering 370, 113208, 2020
Mandates: European Commission
Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer
M Ashworth, AH Elsheikh, F Doster
Advances in Water Resources 163, 104166, 2022
Mandates: UK Natural Environment Research Council
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
S Alyaev, J Tveranger, K Fossum, AH Elsheikh
First Break 39 (7), 45-50, 2021
Mandates: Science Foundation Ireland, Research Council of Norway
Hydrogeophysical Parameter Estimation Using Iterative Ensemble Smoothing and Approximate Forward Solvers
C Köpke, A Elsheikh, J Irving
Frontiers in Environmental Science 7, 34, 2019
Mandates: Swiss National Science Foundation
Efficient Integration of Production and Seismic Data into Reservoir Models Exhibiting Complex Connectivity Using an Iterative Ensemble Smoother
R Tavakoli, S Srinivasan, AH ElSheikh, MF Wheeler
SPE Reservoir Simulation Symposium, 2015
Mandates: US Department of Energy
Robust optimal well control using an adaptive multigrid reinforcement learning framework
A Dixit, AH Elsheikh
Mathematical Geosciences 55 (3), 345-375, 2023
Mandates: UK Engineering and Physical Sciences Research Council
Ensemble history-matching workflow using interpretable SPADE-GAN geomodel
K Fossum, S Alyaev, AH Elsheikh
First Break 42 (2), 57-63, 2024
Mandates: Research Council of Norway
Deep learning for prediction of complex geology ahead of drilling
K Fossum, S Alyaev, J Tveranger, A Elsheikh
Computational Science–ICCS 2021: 21st International Conference, Krakow …, 2021
Mandates: Research Council of Norway
Gym-preCICE: Reinforcement learning environments for active flow control
M Shams, AH Elsheikh
SoftwareX 23, 101446, 2023
Mandates: UK Engineering and Physical Sciences Research Council
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