4.7 Article

Verification benchmarks for single-phase flow in three-dimensional fractured porous media

Journal

ADVANCES IN WATER RESOURCES
Volume 147, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2020.103759

Keywords

-

Funding

  1. Norwegian Research Council [250223, 244129/E20, 267908/E20]
  2. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [327154368 -SFB 1313]
  3. Fapesp [2017/15736-3]
  4. ANP/Petrobras [2014/00090-2, 2014/000902]
  5. CNPq [310369/2006-1]
  6. Swiss National Science Foundation (SNSF) [PZ00P2_180112]
  7. SCCER-SoE
  8. Pasc Project FASTER
  9. Institute of Nuclear Energy Research [NL1050288]
  10. Ministry of Science and Technology [MOST 108-2116-M-008-004, MOST 106-2116-M-008-014-]
  11. Moscow Center for Fundamental and Applied Mathematics (Ministry of Education and Science of the Russian Federation) [075-15-2019-1624]
  12. Swiss National Science Foundation (SNF) [PZ00P2_180112] Funding Source: Swiss National Science Foundation (SNF)

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Flow in fractured porous media has significant impacts on the underground, biological tissues, and man-made materials. Recently, there has been a development of models and numerical methods to explicitly consider the influence of fractures on flow processes. Four benchmark cases were presented to test the capabilities of numerical methods in handling the complexities common to the geometrical structures of fracture networks, with results obtained from 17 numerical methods collected and analyzed.
Flow in fractured porous media occurs in the earth's subsurface, in biological tissues, and in man-made materials. Fractures have a dominating influence on flow processes, and the last decade has seen an extensive development of models and numerical methods that explicitly account for their presence. To support these developments, four benchmark cases for single-phase flow in three-dimensional fractured porous media are presented. The cases are specifically designed to test the methods' capabilities in handling various complexities common to the geometrical structures of fracture networks. Based on an open call for participation, results obtained with 17 numerical methods were collected. This paper presents the underlying mathematical model, an overview of the features of the participating numerical methods, and their performance in solving the benchmark cases.

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