Ahmed H. Elsheikh

Orcid: 0000-0003-3580-7309

According to our database1, Ahmed H. Elsheikh authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A Deep Semi-Supervised Learning Approach for Seismic Reflectivity Inversion.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Gym-preCICE: Reinforcement learning environments for active flow control.
SoftwareX, July, 2023

Generating Infinite-Resolution Texture using GANs with Patch-by-Patch Paradigm.
CoRR, 2023

2022
Verification of a real-time ensemble-based method for updating earth model based on GAN.
J. Comput. Sci., 2022

Generating unrepresented proportions of geological facies using Generative Adversarial Networks.
Comput. Geosci., 2022

Stochastic optimal well control in subsurface reservoirs using reinforcement learning.
Eng. Appl. Artif. Intell., 2022

A Multilevel Reinforcement Learning Framework for PDE-based Control.
CoRR, 2022

Robust optimal well control using an adaptive multi-grid reinforcement learning framework.
CoRR, 2022

Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network.
CoRR, 2022

Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data.
CoRR, 2022

Direct multi-modal inversion of geophysical logs using deep learning.
CoRR, 2022

2021
Deep Learning for Prediction of Complex Geology Ahead of Drilling.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Optimal Bayesian experimental design for subsurface flow problems.
CoRR, 2020

2019
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models.
J. Comput. Phys., 2019

Parametrization of stochastic inputs using generative adversarial networks with application in geology.
CoRR, 2019

2018
A machine learning approach for efficient uncertainty quantification using multiscale methods.
J. Comput. Phys., 2018

Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks.
CoRR, 2018

Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks.
CoRR, 2018

Parametric generation of conditional geological realizations using generative neural networks.
CoRR, 2018

2017
DR-RNN: A deep residual recurrent neural network for model reduction.
CoRR, 2017

2015
Accelerating Monte Carlo Markov chains with proxy and error models.
Comput. Geosci., 2015

2014
Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems.
J. Comput. Phys., 2014

A reliable triangular mesh intersection algorithm and its application in geological modelling.
Eng. Comput., 2014

A consistent octree hanging node elimination algorithm for hexahedral mesh generation.
Adv. Eng. Softw., 2014

2013
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods.
J. Comput. Phys., 2013

An iterative stochastic ensemble method for parameter estimation of subsurface flow models.
J. Comput. Phys., 2013


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