An Efficient Stochastic Decomposition Approach for Large-Scale Subsurface Flow Problems

Dongxiao Zhang, Zhiming Lu, Gaisheng Liu & Dongxiao Zhang
Subsurface formations are of large scales and are inherently heterogeneous at a multiplicity of scales. Significant spatial heterogeneity and a limited number of measurements lead to uncertainty in characterization of formation properties and thus, to uncertainty in predicting flow in the formations. Such uncertainties add another dimension in probability space to the already large-scale subsurface problems. In this work, we develop an accurate yet efficient approach for solving flow problems in large-scale heterogeneous formations. We...
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