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
Thu Oct 12 09:37:07 MDT 2017