Application of grid-enabled technologies for solving optimization problems in data-driven reservoir studies

Abstract

This paper presents use of numerical simulations coupled with optimization techniques in reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. This framework implements a dynamic, data-driven approach and enables execution in a Grid environment for large scale optimization formulations in reservoir modeling. © Springer-Verlag 2004.