Timely “Big Problems”, Computation, and Invention
Rami M. Younis
Assistant Professor of Petroleum Engineering
The University of Tulsa
There are significant engineering challenges ahead of us at the nexus of water, energy, and the environment. At the systems-scale, computational models can empower the study of process physics that will form the foundation for game-changing innovations to address some of the "Big Problems" of our time. In systems of interest, there is significant complexity that may not be overlooked. There is complexity in the form of coupled dynamics across a range of various “types” of physics (for instance, transient suspension flow in free-space, lubrication flows transporting suspended solids, multiphase Darcy-like transport, and poromechanics with continuum damage). There is also complexity in terms of the need to bridge a wide span in characteristic scales over which interactions can make or break an engineered system. Such complexity poses imminent challenges ahead of the model developer who must marry accurate approximation techniques with resilient and efficient solution methods, and develop actual software incarnations. In this talk, I will present, 1) fundamental aspects of a numerical solution method that enables systems-scale simulation of a variety of coupled physics while requiring the minimal level of computation that is necessary, and 2) an application of computing to study the prospects for rock comminution due to seismic wave interaction as a technology that will enable the prudent development of unconventional hydrocarbon resources.
Rami M. Younis is an Assistant Professor at the McDougall School of Petroleum Engineering at The University of Tulsa. He is the founder of the Future Reservoir Simulation Systems and Technology (FuRSST) joint industry research consortium. At FuRSST, he is working towards a future where predictive numerical simulators can literally write themselves, exploit insights into physics to expedite computation, and aid in the invention of breakthrough technologies. Dr. Younis holds a PhD degree in Petroleum Engineering (2011), and two MS degrees in Scientific Computing & Computational Mathematics (2005), and in Petroleum Engineering (2002), all from Stanford University. He earned his B.Eng. degree with Honors in Mechanical Engineering from McGill University in Canada. He currently serves as an Associate Editor for the SPE Journal and as a committee member for the SPE Reservoir Simulation Conference.