Loading…

Efficient partitioning of conforming virtual element discretizations for large scale discrete fracture network flow parallel solvers

•New efficient partitioning strategies for parallel Discrete Fracture Network flow simulations.•Numerical comparison on realistic DFNs of parallel efficiency indicators like Speedup and Imbalance.•Influence of DFN connectivity on parallel performances of the proposed strategies and the classical mes...

Full description

Saved in:
Bibliographic Details
Published in:Engineering geology 2022-09, Vol.306, p.106747, Article 106747
Main Authors: Berrone, Stefano, Raeli, Alice
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•New efficient partitioning strategies for parallel Discrete Fracture Network flow simulations.•Numerical comparison on realistic DFNs of parallel efficiency indicators like Speedup and Imbalance.•Influence of DFN connectivity on parallel performances of the proposed strategies and the classical mesh partitioning. Discrete Fracture Network models are largely used for large scale geological flow simulations in fractured media. For these complex simulations, it is worth investigating suitable numerical methods and tools for efficient parallel solutions on High Performance Computing systems. In this paper we propose and compare different partitioning strategies, that result to be highly efficient and scalable, overperforming the classical mesh partitioning approach used to balance the workload of a conforming mesh among several processes. The proposed DFN-based partitioning strategies rely on the distribution of the fractures among parallel processes. The computational cost of the DFN-based partitionings is very small compared to the cost of classical mesh partitioning and the numerical results prove their effectiveness and good performances in solving linear systems for realistic DFN flow simulations.
ISSN:0013-7952
1872-6917
DOI:10.1016/j.enggeo.2022.106747