Parallel linear solvers for reservoir simulation: A generic approach for existing and emerging computer architectures

Journal Article · Tue Feb 01 04:00:00 EST 1994 · SPE Computer Applications (Society of Petroleum Engineers); (United States)

DOI:https://doi.org/10.2118/25240-PA· OSTI ID:7115894

Bhogeswara, R; Killough, J E ^[1]

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1. Univ. of Houston, TX (United States)

Recent architectural advances in the computer industry focus on the numerical solution of intensive flows, such as in oil reservoirs, on several processors simultaneously. Different computer architectures evolved from connection of these processors: shared memory with a few processors, distributed memory with up to a few hundred processors, and massively parallel with several thousand processors. Oil industry researchers are developing efficient techniques to improve hydrocarbon recovery in reservoirs by use of 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 and 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.

• OSTI ID: 7115894
• Journal Information: SPE Computer Applications (Society of Petroleum Engineers); (United States), Journal Name: SPE Computer Applications (Society of Petroleum Engineers); (United States); ISSN SCAPEP
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
020200* -- Petroleum-- Reserves
Geology
& Exploration
03 NATURAL GAS
030200 -- Natural Gas-- Reserves
Geology
& Exploration
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
COMPUTER-AIDED DESIGN
COMPUTERIZED SIMULATION
COMPUTERS
DESIGN
DIGITAL COMPUTERS
GEOLOGIC DEPOSITS
GEOLOGIC MODELS
HYPERCUBE COMPUTERS
MINERAL RESOURCES
NATURAL GAS DEPOSITS
PETROLEUM DEPOSITS
RESERVOIR ROCK
RESOURCES
SIMULATION
SUPERCOMPUTERS