This paper is centered in the optimization of well placement using Genetic Algorithms. A Simple Genetic Algorithm program has been developed and it has been used to optimize well placement in two case studies. The effects of different internal parameters on the algorithm performance have been analyzed and a base case configuration suggested. Future modifications are analyzed.

Keywords:
genetic algorithm, well placement optimization guillermo monte, placement, optimization problem, artificial intelligence, machine learning, elitism, convergence, evolutionary algorithm, mutation
Subjects:
Reservoir Characterization, Reservoir Fluid Dynamics, Reservoir Simulation, Information Management and Systems, Artificial intelligence
Copyright 2001, Society of Petroleum Engineers
You can access this article if you purchase or spend a download.