Optimizing Reservoir Performance Under Uncertainty

作者: Kevin C. Furman , Vikas Goel , Mark A. Rodriguez , Richard T. Mifflin , Li-Bong W. Lee

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摘要: One or more methods for optimizing reservoir development planning include a source of characterized input data, an optimization model, baseline model simulating the reservoir, modified and one solution routines interfacing with model. The can consider unknown parameters having uncertainties directly within systematically address uncertain example comprehensively even taking all data into account. Accordingly, is optimized to flexible robust solutions. Final plans are generated based on results.

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