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An Adaptive Multiphysics Model Coupling Vertical Equilibrium and Full Multidimensions for Multiphase Flow in Porous Media

机译:多孔介质中多相流垂直均衡与全多维耦合的自适应多物理场模型

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摘要

Efficient multiphysics (or hybrid) models that can adapt to the varying complexity of physical processes in space and time are desirable for modeling fluid migration in the subsurface. Vertical equilibrium (VE) models are simplified mathematical models that are computationally efficient but rely on the assumption of instant gravity segregation of the two phases, which may not be valid at all times or at all locations in the domain. Here we present a multiphysics model that couples a VE model to a full multidimensional model that has no reduction in dimensionality. We develop a criterion that determines subdomains where the VE assumption is valid during simulation. The VE model is then adaptively applied in those subdomains, reducing the number of computational cells due to the reduction in dimensionality, while the rest of the domain is solved by the full multidimensional model. We analyze how the threshold parameter of the criterion influences accuracy and computational cost of the new multiphysics model and give recommendations for the choice of optimal threshold parameters. Finally, we use a test case of gas injection to show that the adaptive multiphysics model is much more computationally efficient than using the full multidimensional model in the entire domain, while maintaining much of the accuracy.
机译:需要有效的多物理场(或混合)模型来适应地下和地下流体运移,这些模型可以适应时空中物理过程的不断变化的复杂性。垂直平衡(VE)模型是简化的数学模型,具有较高的计算效率,但依赖于两相即时重力分离的假设,该假设可能并非始终有效或在域中的所有位置都有效。在这里,我们提出了一个多物理场模型,该模型将VE模型耦合到没有降维的完整多维模型。我们开发了一个确定在仿真过程中VE假设有效的子域的标准。然后,将VE模型自适应地应用于这些子域,由于维数的减少而减少了计算单元的数量,而其余域则由完整的多维模型解决。我们分析了标准的阈值参数如何影响新的多物理场模型的准确性和计算成本,并为选择最佳阈值参数提供了建议。最后,我们使用注气的测试案例来说明,在保持大部分准确性的同时,自适应多物理场模型比在整个域中使用完整的多维模型具有更高的计算效率。

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  • 来源
    《Water resources research》 |2018年第7期|4347-4360|共14页
  • 作者单位

    Univ Stuttgart, Dept Hydromech & Modelling Hydrosyst, Stuttgart, Germany;

    Stanford Univ, Dept Energy Resources Engn, Stanford, CA 94305 USA;

    Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;

    Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;

    Univ Stuttgart, Dept Hydromech & Modelling Hydrosyst, Stuttgart, Germany;

    Univ Stuttgart, Dept Hydromech & Modelling Hydrosyst, Stuttgart, Germany;

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