4.7 Article

Multiscale finite volume method with adaptive unstructured grids for flow simulation in heterogeneous fractured porous media

期刊

ENGINEERING WITH COMPUTERS
卷 -, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1007/s00366-021-01520-6

关键词

Multiscale finite volume; Discrete fracture modeling; Unstructured grids; Adaptive grid generation; Fractured porous media

向作者/读者索取更多资源

The multiscale finite volume method is developed for discrete fracture modeling in highly heterogeneous porous media, with efficient algorithms devised for generating adaptive unstructured coarse grids. Significant improvement of the method in highly heterogeneous fractured porous media is achieved, with good accuracy in flow simulation in challenging test cases.
The multiscale finite volume method for discrete fracture modeling in highly heterogeneous porous media is developed. Multiscale methods are sensitive to the heterogeneity contrasts in both matrix and fracture networks. To resolve this, efficient algorithms for generating adaptive unstructured coarse grids are devised. First, primal coarse grids are independently constructed for the matrix and lower dimensional fractures. Then, flexible dual coarse grids are generated based on the fracture and matrix permeability features. Since the proposed algorithms employ the equivalent graph of unstructured grids, the same coarse grid generation strategy is applied for the fractures and matrix domains. Permeability-adapted coarse grids significantly improve the monotonicity behavior of MSFV method in highly heterogeneous fractured porous media. The performance of the method is assessed through several challenging test cases with highly heterogeneous permeability field in both fractures and matrix domain. Numerical results indicate that the extended MSFV method with adaptive unstructured coarse grids is a significant development for accurate flow simulation in heterogeneous fractured media using DFM approach.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据