Advances On Sparse Representation of Reservoir Properties, Fluid Characterization Methods for Steam-Solvent Co-Injection, and Full-Resolution Simulations of Multi-Scale Processes (20 June was SPE Junior Research Award Winner Presentations – Part 2)

Recorded On: 07/09/2013

High-resolution reservoir imaging for predicting reservoir response to alternative development strategies and thereby optimizing reservoir production performance.

Reliable fluid characterization is as important as reliable experimental data for coinjection simulation.

For any subsurface process, what, precisely, is the instantaneous, spatiotemporal support of change?


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Behnam Jafarpour, Assistant Professor, Petroleum and Electrical Engineering, University of Southern California

Behnam Jafarpour is an assistant professor of petroleum and electrical engineering at USC Viterbi School of Engineering. From 2008 to 2011, he served as an assistant professor of petroleum engineering at Texas A&M University. He holds a PhD in environmental engineering and a SM degree in electrical engineering from MIT.

Jafarpour currently leads the Subsurface Energy and Environmental Systems lab at USC focusing on systems-based approaches to characterization and development of subsurface energy and environmental resources.


Ryosuke Okuno, Assistant Professor, Petroleum Engineering, University of Alberta

Ryosuke Okuno has served as an Assistant Professor of Petroleum Engineering in the Department of Civil & Environmental Engineering at the University of Alberta since 2010. His research and teaching interests include enhanced oil recovery, thermal oil recovery, numerical reservoir simulation, thermodynamics, and multiphase behavior.

Okuno has seven years of industrial experience as a reservoir engineer with Japan Petroleum Exploration Co., Ltd., and is a registered Professional Engineer in Alberta, Canada. He holds BE and ME degrees in Geosystem Engineering from the University of Tokyo, and a PhD degree in Petroleum Engineering from the University of Texas at Austin.


Rami M. Younis, Assistant Professor, University of Tulsa

Rami M. Younis received his bachelor's degree with Honors in Mechanical Engineering from McGill University, Canada. In 2002 and in 2005 respectively, he received Masters Degrees in both, Petroleum Engineering, and in Scientific Computing and Computational Mathematics from Stanford University, California. He received his Ph.D. in Petroleum Engineering from Stanford University in 2011.

He has served on the faculty of The University of Tulsa since 2012 and is presently the founder and director of the Future Reservoir Simulation Systems and Technology FURSST industrial affiliates consortium at the McDougall School of Petroleum Engineering. His research interests are at the intersection of Applied Mathematics, Computer Science, and Reservoir Engineering. His work on simulation software is enabling a future where simulators will literally write themselves; he is the original developer of the Automatically Differentiable Expression Templates Library ADETL software. On the numerical solution algorithms front, his work is pioneering iteration-free and globally convergent nonlinear solution algorithms.

Dr. Younis has served as technical editor for several journals and is currently associate editor for the SPE Journal. He is the organizer of several SIAM minisymposia. He is the recipient of the Ramey, Brigham, and Centennial Teaching Awards from Stanford University.

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Recorded 07/09/2013
Recorded 07/09/2013 60 Minutes
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