ResGrid: A grid-aware toolkit for reservoir uncertainty analysis

Zhou Lei, Dayong Huang, Archit Kulshrestha, Santiago Pena, Gabrielle Allen, Xin Li, Christopher White, Richard Duff, John R. Smith, Subhash Kalla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many efforts in Grid communities have focused on middleware research and development. However, Grid application-level tools are needed which can build higherlevel functionality on top of core middleware services. We work with specific classes of scientific applications and present a Grid-aware toolkit ResGrid for reservoir uncertainty analysis. With the help of the ResGrid, a reservoir engineer can transparently take advantage of Grid resources and services for compute-intensive and dataintensive uncertainty analysis as well as enforce the understanding of reservoir modeling. In this paper, the ResGrid is introduced in terms of overview, architecture, and implementation status.

Original languageEnglish (US)
Title of host publicationSixth IEEE International Symposium on Cluster Computing and the Grid
Subtitle of host publicationSpanning the World and Beyond, 2006. CCGRID 06
Pages249-252
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event6th IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06 - , Singapore
Duration: May 16 2006May 19 2006

Publication series

NameSixth IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06

Other

Other6th IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06
Country/TerritorySingapore
Period5/16/065/19/06

ASJC Scopus subject areas

  • Engineering(all)

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