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Thursday, March 6 • 1:40pm - 2:00pm
Applications Session II: Strong Scalability of Reservoir Simulation on Massively Parallel Computers: Issues and Results, Vadim Dyadechko, ExxonMobil Upstream Research Company

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Numerical simulation of reservoirs is an integral part of commercial development studies to optimize petroleum recovery. Modern petroleum reservoir simulation requires simulating detailed and computationally expensive geological and physical models. Parallel reservoir simulators have the potential to solve larger, more realistic problems than previously possible. To make the solution of these large problems feasible, an efficient parallel implementation of the algorithm is necessary. Such a parallelization of the algorithm requires proper data structures and data layout, parallel direct and iterative solvers, and parallel preconditioners. Load balancing and minimization of communication between processors also plays very important role in achieving that goal. In this talk, we investigate parallel performance for black oil reservoir simulation on multiple massively parallel computing architectures. A deliberate strategy of performance-based development of the major types of computations encountered in reservoir simulation programs is employed. Even though most operations are memory-bandwidth bound, it is possible with careful implementation, to get excellent parallel efficiency to several 1000s of cores. We discuss numerical issues, scalability and parallel efficiency of reservoir simulator on several very large and geologically challenging examples.

avatar for Simanti Das

Simanti Das

Manager, High Performance Computing Software Development & Support, ExxonMobil Technical Computing Company
Simanti Das, is currently the manager of High Performance Computing software development and support group in ExxonMobil Upstream IT organization. She is responsible for providing software development, optimization and support for massively parallel seismic imaging technologies for... Read More →


Thursday March 6, 2014 1:40pm - 2:00pm PST
BRC 282 Rice University 6500 Main Street at University, Houston, TX 77030

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