A grid-enabled workflow system for reservoir uncertainty analysis

Reservoir uncertainty analysis is significant for petroleum engineers for predictions of reservoir performance. However, analysis of reservoir performance uncertainty is challenging because large amounts of data must be transferred efficiently, reliably and securely between sites, and thousands of simulations are executed across different resources. There are several steps in conducting reservoir performance prediction, including: (a) transferring input files to remote resources, (b) running thousands of simulations in different scheduler systems, (c) monitoring the jobs, (d) transferring output files from remote sites to the local system, and (e) post

• Type: Conference
• Year: 2008
• Where: CLADE
• Authors: Emrah Ceyhan, Gabrielle Allen, Christopher D. White, Tevfik Kosar
• Keywords: CLADE 2008, Distributed And Parallel Computing, Reservoir Performance, Reservoir Performance Uncertainty, Reservoir Uncertainty Analysis