Application of sequential staging of tasks to petroleum reservoir modeling

Authors:
Frederic J. L. Briens;Ching H. Wu
Affiliations:
Chevron Exploration and Production Services;Texas A&M University
Venue:
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
Year:
1990

Citing 4
Cited 0

IBM parallel FORTRAN

IBM Systems Journal
Compositional reservoir simulation in parallel supercomputing environments

Compositional reservoir simulation in parallel supercomputing environments
Concurrent computing by sequential staging of tasks

IBM Systems Journal
A Guidebook to FORTRAN on Supercomputers

A Guidebook to FORTRAN on Supercomputers

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Abstract

A large-scale compositional reservoir simulation (1,000 cells) is not often run on a conventional mainframe computer due to excessive turn-around times. This paper presents programming and computational techniques that fully exploit the capabilities of parallel supercomputers for a large-scale compositional simulation. A novel algorithm called Sequential Staging of Tasks (SST) that can take full advantage of parallel-vector processing to speed-up the solution of a large linear system is introduced. The effectiveness of SST is illustrated with results from computer experiments conducted on an IBM 3090-600E.