Leveraging Grid Technologies For Reservoir Uncertainty Analysis

Reservoir uncertainty analysis is targeted at obtaining assessments and predictions of reservoir performance, for the purpose of guiding development and operational decisions. However, accurately analyzing various reservoir uncertainty factors is a challenging issue due to the associated large-scale data manipulation and massive reservoir simulations which cannot be easily handled with the typical resources of a single institution. Security issues hinder effective collaborations between researchers interested in reservoir studies. We leverage Grid computing technologies to address these concerns. A data replication tool has been implemented for manipulating raw geological&geophysical (G&G) data, well logging data, and simulation results. A task farming framework has been developed for massive reservoir simulation executions. GSI (Grid Security Infrastructure) has been employed for security. This paper describes the design and implementation on these solutions. The case studies are introduced to verify our contributions. Our efforts also provide Grid solutions for other computing-intensive and data-intensive uncertainty analysis, such as coastal modeling.