DocumentCode
453816
Title
ResGrid: A Grid-aware Toolkit for Reservoir Uncertainty Analysis
Author
Lei, Zhou ; Huang, Dayong ; Kulshrestha, Archit ; Pena, Santiago ; Allen, Gabrielle ; Li, Xin ; White, Christopher ; Duff, Richard ; Smith, John R. ; Kalla, Subhash
Author_Institution
Louisiana State University, USA
Volume
1
fYear
2006
fDate
16-19 May 2006
Firstpage
249
Lastpage
252
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.
Keywords
Computational modeling; Computer architecture; Data engineering; Grid computing; Middleware; Petroleum; Production; Reservoirs; Space technology; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing and the Grid, 2006. CCGRID 06. Sixth IEEE International Symposium on
Conference_Location
Singapore
Print_ISBN
0-7695-2585-7
Type
conf
DOI
10.1109/CCGRID.2006.86
Filename
1630823
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