Hybrid high-order methods for flow simulations in extremely large discrete fracture networks
The SMAI Journal of computational mathematics, Volume 8 (2022), pp. 375-398.

We investigate the computational performance of hybrid high-order methods applied to flow simulations in extremely large discrete fracture networks (over one million of fractures). We study the choice of basis functions, the trade-off between increasing the polynomial order and refining the mesh, and how to take advantage of polygonal cells to reduce the number of degrees of freedom.

Published online:
DOI: 10.5802/smai-jcm.92
Classification: 65N30, 65N50, 86A05
Keywords: discrete fracture networks, flow simulations, hybrid high-order methods
Alexandre Ern 1; Florent Hédin 2; Géraldine Pichot 2; Nicolas Pignet 3

1 Université Paris-Est, CERMICS (ENPC), 6 et 8 av. Blaise Pascal, 77455 Marne-la-Vallée Cedex 2, France and Inria, 2 rue Simone Iff, 75589 Paris, France
2 Inria, 2 rue Simone Iff, 75589 Paris, France and Université Paris-Est, CERMICS (ENPC), 6 et 8 av. Blaise Pascal, 77455 Marne-la-Vallée Cedex 2, France
3 EDF Lab Paris-Saclay, 7 boulevard Gaspard Monge, 91120 Palaiseau, France
License: CC-BY-NC-ND 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
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     title = {Hybrid high-order methods for flow simulations in extremely large discrete fracture networks},
     journal = {The SMAI Journal of computational mathematics},
     pages = {375--398},
     publisher = {Soci\'et\'e de Math\'ematiques Appliqu\'ees et Industrielles},
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Alexandre Ern; Florent Hédin; Géraldine Pichot; Nicolas Pignet. Hybrid high-order methods for flow simulations in extremely large discrete fracture networks. The SMAI Journal of computational mathematics, Volume 8 (2022), pp. 375-398. doi : 10.5802/smai-jcm.92. https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.92/

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