Data assimilation using bayesian filters and B-spline geological models

Journal article

This paper proposes a new approach to problems of data assimilation, also known as history matching, of oilfield production data by adjustment of the location and sharpness of patterns of geological facies. Traditionally, this problem has been addressed using gradient based approaches with a level set parameterization of the geology. Gradient-based methods are robust, but computationally demanding with real-world reservoir problems and insufficient for reservoir management uncertainty assessm...

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Authors: Duan, L; Farmer, C; Hoteit, I; Luo, X; Moroz, I

• Publication date: 2011-01-01