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CONDITIONING RANDOM SAMPLES OF A SUBTERRANEAN FIELD MODEL TO A NONLINEAR FUNCTION
CONDITIONING RANDOM SAMPLES OF A SUBTERRANEAN FIELD MODEL TO A NONLINEAR FUNCTION
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机译:亚场模型对非线性函数的条件随机样本
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摘要
A method for performing a field operation in a field includes obtaining subterranean field models that are generated based on measured data of a portion of the field. The subterranean field models include statistically derived data for a remainder portion of the field where the measured data is not available. Using a constraint optimization algorithm, weighting factors are determined that represent contributions of the subterranean field models to a combined model. The weighting factors are determined based on a statistical constraint defined by a statistical distribution of the subterranean field models and based on an optimization constraint such that a difference between a modeled value of the field and a pre-determined target value is less than a pre-determined threshold. The combined model is generated from the subterranean field model based on the weighting factors A field operation is performed based on the combined model.
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