History Matching Reservoir Models With Many Objective Bayesian Optimization
Steven Samoil,
Clyde Fare,
Kirk E. Jordan
et al.
Abstract:Reservoir models for predicting subsurface fluid and rock behaviors can now include upwards of billions (and potentially trillions) of grid cells and are pushing the limits of computational resources. History matching, where models are updated to match existing historical data more closely, is conducted to reduce the number of simulation runs and is one of the primary time‐consuming tasks. As models get larger the number of parameters to match increases, and the number of objective functions increases, and tra… Show more
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