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
Most oilfields in KSA and the world are naturally fractured, and current industrial workflows are not well-suited to model them. The objective of this research is to develop a comprehensive workflow to model fractured reservoirs from lab to field scales. At lab scale, experimental data including geomechanics and flow in discrete fractures using finite element methods are used to understand the first principles. Learnings from lab scale are used to upscale the model to the field scale. This project is in collaboration with other researches at ANPERC and ARAMCO.
Xupeng He Ph.D. Student - ERPE Program
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