This is the first of two papers describing the application of simulator-optimization methods to a natural gas storage field development planning problem. The results presented here illustrate the large gains in cost-effectiveness that can be made by employing the reservoir simulator as the foundation for a wide-ranging search for solutions to management problems. The current paper illustrates the application of these techniques given a deterministic view of the reservoir. A future paper will illustrate adaptations needed to accommodate uncertainties regarding reservoir properties.

Keywords:
prediction, optimization problem, scenario, neural network, contract shortfall, operation scenario, objective function, artificial intelligence, machine learning, application
Subjects:
Reservoir Simulation, Information Management and Systems, Artificial intelligence
Copyright 2000, Society of Petroleum Engineers
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