Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)
ResGrid: A Grid-aware Toolkit for Reservoir Uncertainty Analysis
Singapore
May 16-May 19
ISBN: 0-7695-2585-7
Zhou Lei, Louisiana State University, USA
Xin Li, Lousiana State University, USA
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.
Citation:
Zhou Lei, Dayong Huang, Archit Kulshrestha, Santiago Pena, Gabrielle Allen, Xin Li, Christopher White, Richard Duff, John R. Smith, Subhash Kalla, "ResGrid: A Grid-aware Toolkit for Reservoir Uncertainty Analysis," ccgrid, pp.249-252, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006