2019•Computers & GeosciencesOpen access

An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling

Shaoxing Mo, Xiaoqing Shi, Dan Lu, Ming Ye, Jichun Wu

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Key concepts: Surrogate model, Kriging, Uncertainty quantification, Computer science, Monte Carlo method, Mathematical optimization, Carbon sequestration, Uncertainty analysis

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An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling — Research Paper | ScholarLens