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Parallel Well Location Optimization Using Stochastic Algorithms on the Grid Computational Framework
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery, Aug 2004, cp-9-00044
Abstract
B034 PARALLEL WELL LOCATION OPTIMIZATION USING STOCHASTIC ALGORITHMS ON THE GRID COMPUTATIONAL FRAMEWORK 1 Hector Klie 1 Wolfgang Bangerth 1 2 Mary F. Wheeler 1 Manish Parashar 3 and Vincent Matossian 3 1 Center for Subsurface Modeling The University of Texas at Austin Austin TX. 2 Institute for Geophysics The University of Texas at Austin Austin TX. 3 The Applied Software Systems Laboratory Rutgers University Piscataway NJ. Abstract 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 efficient