Multi-source information fused generative adversarial network model and data assimilation based history matching for reservoir with complex geologies
Abstract
For reservoirs with complex non-Gaussian geological characteristics, such as carbonate reservoirs or reservoirs with sedimentary facies distribution, it is difficult to implement history matching directly, especially for the ensemble-based data assimilation methods. In this paper, we propose a multi-source information fused generative adversarial network (MSIGAN) model, which is used for parameterization of the complex geologies. In MSIGAN,...
Paper Details
Title
Multi-source information fused generative adversarial network model and data assimilation based history matching for reservoir with complex geologies
Published Date
Apr 1, 2022
Journal
Volume
19
Issue
2
Pages
707 - 719
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