Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Parallelization in Reservoir Simulation

Authors: I.M. Cheshire; G. Bowen;

Parallelization in Reservoir Simulation

Abstract

Abstract A new technique is presented for solving the linear equations arising in reservoir simulation using multiple processors in parallel. The Nested Factorization(1) algorithm is extented by domain decomposition in a highly parallel way while ensuring that the power of the method is retained as the computation is distributed over several processors. The method is illustrated by the fully implicit solution of a three phase simulation of a 4800 cell problem on a 6 processor Silicon Graphics machine giving an overall speed up factor of about 2.8.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!