Block-preconditioned conjugate-gradient-like methods for numerical reservoir simulation

Journal Article · Thu Jan 31 23:00:00 EST 1985 · Soc. Pet. Eng. AIME, Pap.; (United States)

OSTI ID:5398696

Eisenstat, S C; Elman, H C; Schultz, M H

The authors describe a collection of block-preconditioners for use in solving large sparse linear systems of equations by iterative methods, and they compare their performance with several point-preconditioners in solving some systems arising in numerical reservoir simulation. They consider block-preconditioners that handle either lines or planes in an implicit manner, and pointwise incomplete LU factorizations combined with partial elimination preprocessors. Their conclusions are that the best of the pointwise methods are both more robust and faster, but that the best of the block methods are competitive for certain orderings of unknowns and require less storage.

• Research Organization: Yale Univ.
• OSTI ID: 5398696
• Journal Information: Soc. Pet. Eng. AIME, Pap.; (United States), Journal Name: Soc. Pet. Eng. AIME, Pap.; (United States) Vol. SPE13534; ISSN SEAPA
• Country of Publication: United States
• Language: English

Related Subjects

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NATURAL GAS WELLS
OIL WELLS
RESERVOIR ENGINEERING
SIMULATION
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