Advanced Reservoir Modeling & Simulation Group
Overview
Welcome to ARMS: Advanced Reservoir Modeling & Simulation Group. The ARMS-Group is led by Associate Professor Hussein Hoteit of the Energy Resources and Petroleum Engineering Program in the Physical Science and Engineering Division at King Abdullah University of Science and Technology (KAUST) and is part of the Ali I. Al-Naimi Petroleum Engineering Research Center.
Reservoir modeling improves the probability of success and fidelity in decision making about reservoir development and optimization. Simulation allows both researchers and practitioners to understand fundamental flow mechanisms, capture uncertainties and probabilistic ranges, and optimize development scenarios. The primary focus of our group is on reservoir modeling and simulation at both lab and field scales, as well as on other energy-related topics such as geothermal energy and CO2 sequestration.
Our
Research
A key weakness in reservoir management is related to poor reservoir characterization and surveillance. The challenge is in the subsurface uncertainties and low resolution of seismic imaging to identify key geological features and un-swept zones. Cross-well electromagnetic (EM) imaging is a revived surveillance technology that can provide valuable insights into the fluid saturation distribution and reservoir heterogeneity. This imaging technology, however, requires solving an inverse problem for the EM signal and the flow. The objective of this project is to develop a model that fully couples the EM imaging (Maxwell’s equations) with the multiphase fluid flow (Darcy’s law and transport equations). Another technology that we are investigating alongside EM is tracers.
MS and PhD Positions
Available
Fully funded graduate student positions are available for outstanding full-time students wishing to pursue a Master of Science degree and/or PhD with Dr. Hussein Hoteit at King Abdullah University of Science and Technology (KAUST).
The successful candidates/s will work with national and international partners.
Applications for MS and Ph.D. positions must be submitted through KAUST’s official website, All applicants should have a strong background in: geophysics, physics, applied math, numerical methods, fluid mechanics and/or chemistry.
Depending on the stage of their careers, applicants should not only have graduated with excellent grades, but should also have a competitive paper track record that proves their scientific experience and excellence in their research field.
New internship projects starting in 2020 will be announced soon.
If you would like any information about Internships at KAUST you can find more information HERE