Rami Younis, PhD

Rami Younis, PhD
Associate Professor of Petroleum Engineering
College of Engineering & Natural Sciences
Petroleum Engineering
918-631-2426 Website Stephenson Hall Room 2280

Education

PhD – Stanford University BEng – McGill University MS – Stanford University BS – McGill University

Bio

Dr. Younis is an Associate Professor at the McDougall School of Petroleum Engineering at The University of Tulsa. He is the Founder and Director of the Future Reservoir Simulation Systems and Technology (FuRSST) joint-industrial research consortium. His research aims to: 1) develop fundamental advances in computational methods that are foundational to modeling technologies at the systems-scale; 2) advance algorithms and software infrastructure to enable automatic scalability and performance optimization of scientific research software; and 3) leverage data and computation to evaluate, optimize, and design more efficient and prudent operations. Dr. Younis serves as Associate Editor for the SPE Journal, Guest Editor for the Journal of Petroleum Science and Engineering, and Organizing Committee member for the SPE Reservoir Simulation Conference. He holds a PhD degree in Petroleum Engineering and two MS degrees in Scientific Computing & Computational Mathematics and in Petroleum Engineering, all from Stanford University. He earned his B.Eng. degree with Honors in Mechanical Engineering from McGill University in Canada.

Research Interests

Application area: subsurface engineered-systems involving multiphysics and multiscale processes, including poromechanics, multiphase fluid flow, and fracture.

Computational methods: resilient and computationally efficient solvers, and high-fidelity numerical approximations

Computer-aided analysis and design at the systems-scale

Teaching Interests

Reservoir engineering
Multiphase flow in porous media
Numerical simulation and computational methods
Geostatistics

Publications

Journal Articles

Conference Proceedings

Technical Reports

  • Le, D., Reynolds, A., & Younis, R. (2015). A History Matching Procedure for Non-Gaussian Facies Based on ES-MDA. The University of Tulsa.

Courses Taught

  • Research and Thesis
  • Reservoir Simulation I
  • Research and Dissertation

Professional Affiliations

  • Society of Industrial and Applied Mathematics
  • Society of Petroleum Engineers