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

We develop cost-effective polymer and surfactant injection schemes for EOR and well conformance control​​​

​​Development of comprehensive workflow to model fractured reservoirs from lab to field scales​​​

Assessement of CO2 emissions and sequestration in Saudi Arabia​​​

We use data analytics, analytical-based methods (RTA, PTA), and reservoir simulations to develop modeling workflows for unconventional resources​

We investigate geothermal energy production performance and efficiency of alternative development scenarios under uncertainties ​​​

Reservoir characterization and surveillance using cross-well electromagnetic (EM) imaging and reservoir simualtions.

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