Wolfgang Bangerth, Hector
Klie, Vincent Matossian, Manish Parashar, Mary Wheeler
An Autonomic Reservoir Framework for the
Stochastic Optimization of Well Placement
Cluster
Computing: The Journal of Networks Software Tools
and Applications, vol. 8 (2005) pp. 255-269.
The adequate location of wells in oil and environmental applications has a
significant economical impact on reservoir management. However, the
determination of optimal well locations is both challenging and
computationally expensive. The overall goal of this research is to use the
emerging Grid infrastructure to realize an autonomic self-optimizing reservoir
framework. In this paper, we present a policy-driven peer-to-peer Grid
middleware substrate to enable the use of the Simultaneous Perturbation
Stochastic Approximation (SPSA) optimization algorithm, coupled with the
Integrated Parallel Accurate Reservoir Simulator (IPARS) and an economic model
to find the optimal solution for the well placement problem.
Wolfgang Bangerth
Sat Apr 20 09:13:52 MDT 2024