Hector Klie, Wolfgang Bangerth, Mary Wheeler, Manish Parashar, Vincent Matossian
Parallel well location optimization using stochastic algorithms on the Grid computational framework
Proceedings of the 9th European Conference on the Mathematics of Oil Recovery (ECMOR IX), 2004.

The determination of optimal well locations is a challenging problem in oil production since it depends on geological and fluid properties as well as on economic parameters. This work addresses the efficieint solution of this problem by using advanced techniques for coupling three impornant components of autonomic optimization: the Integrated Parallel Accurate Reservoir Simulator (IPARS) for production prediction, new optimization algorithms, in particular the Simultaneous Perturbation Stochastic Approximation (SPSA) approach, and the Grid infrastructure to access computational resources on the network in a seamless way. We illustrate the methodology using numerical results based on real data.



Wolfgang Bangerth
Sun Aug 20 15:19:53 MDT 2017