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    An Improved Parameter Dimensionality Reduction Approach Based on a Fast Marching Method for Automatic History Matching

    Hairong Zhang1, Yongde Gao2, Wei Li2, Deng Liu3,*, Jing Cao3, Luoyi Huang3, Xun Zhong3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 609-628, 2022, DOI:10.32604/fdmp.2022.019446

    Abstract History matching is a critical step in reservoir numerical simulation algorithms. It is typically hindered by difficulties associated with the high-dimensionality of the problem and the gradient calculation approach. Here, a multi-step solving method is proposed by which, first, a Fast marching method (FMM) is used to calculate the pressure propagation time and determine the single-well sensitive area. Second, a mathematical model for history matching is implemented using a Bayesian framework. Third, an effective decomposition strategy is adopted for parameter dimensionality reduction. Finally, a localization matrix is constructed based on the single-well sensitive area data to modify the gradient of… More >

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