Parallel linear solvers for reservoir simulation: A generic approach for existing and emerging computer architectures
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Recent architectural advances in the computer industry have been focused to solve numerically intensive flows, such as in oil reservoirs, on several processors simultaneously. As a result of connecting these processors together, different computer architecturers have evolved: Shared-memory with a few processors, Distributed-memory with upto a few hundred processors and massively parallel with several thousand processors. Researchers in the oil industry have been developing efficient techniques to improve hydrocarbon recovery in reservoirs using these computers. In this work, a generic approach is developed to solve the large system of sparse linear equations that arises in reservoir simulation. This approach uses a combination of domain decomposition and multigrid techniques that results in efficient and robust algorithms for sequential computers with one processor as well as for parallel computers with few to several tens of processors. The efficiency and robustness of these methods is comparable with widely used sequential solvers for problems of practical interest which include implicit wells and faults. In parallel, these methods prove to be an order of magnitude faster on a 32-node iPSC/860 hypercube.
author list (cited authors)
Bhogeswara, R., & Killough, J. E.