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Personal profile

Research interests

  • Parameter estimation for subsurface flow problems
  • Data Assimilation and nonlinear filtering
  • Bayesian uncertainty quantification and model comparison
  • A posteriori error estimation
  • Mesh generation and mesh adaptivity
  • Carbon Capture and Sequestration

Biography

  • August 2017, Associate Professor, Institute of Petroleum Engineering, Heriot-Watt University, Scotland
  • August 2013 - July 2017, Assistant Professor, Institute of Petroleum Engineering, Heriot-Watt University, Scotland
  • June 2012 - July 2013, Research Fellow, ICES, The University of Texas at Austin, USA
  • 2010-2012, Research Associate, ESE, Imperial College London, UK
  • 2007-2010, Assistant Professor, Al-Azhar Univeristy, Egypt
  • 2007 Ph.D., McMaster University, Ontario, Canada
  • 2002 MASc., McMaster University, Ontario, Canada
  • 1999 BASc., Al-Azhar Univeristy, Cairo, Egypt

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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subsurface flow Earth & Environmental Sciences
data assimilation Earth & Environmental Sciences
Mesh generation Engineering & Materials Science
simulation Earth & Environmental Sciences
sampling Earth & Environmental Sciences
Chaos theory Engineering & Materials Science
Sampling Engineering & Materials Science
carbonate Earth & Environmental Sciences

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Research Output 2004 2018

Accounting for model error in Bayesian solutions to hydrogeophysical inverse problems using a local basis approach

Köpke, C., Irving, J. & Elsheikh, A. H., Jun 2018, In : Advances in Water Resources. 116, p. 195-207 13 p.

Research output: Contribution to journalArticle

Open Access
File
inverse problem
Markov chain
statistical distribution
ground penetrating radar
travel time

A machine learning approach for efficient uncertainty quantification using multiscale methods

Chan, S. & Elsheikh, A. H., 1 Feb 2018, In : Journal of Computational Physics. 354, p. 493-511

Research output: Contribution to journalArticle

Open Access
File
chaotic dynamics
carbonate
gas
engineering
modeling

Reduced-Order Modeling of Subsurface Multi-phase Flow Models Using Deep Residual Recurrent Neural Networks

Kani, J. N. & Elsheikh, A. H., 22 Oct 2018, In : Transport in Porous Media. p. 1-29 29 p.

Research output: Contribution to journalArticle

Open Access
File
Recurrent neural networks
Multiphase flow
Interpolation
Decomposition
Nonlinear dynamical systems

Multi-objective Optimization of WAG Injection in Fractured Carbonate Reservoirs under Geological Uncertainty

Al Ameri, S. M., Agada, S., Elsheikh, A. H., Geiger, S. & Doster, F., 12 Jun 2017

Research output: Contribution to conferencePaper

carbonate
engineering
simulation
chaotic dynamics
gas production