4.7 Article

A locally conservative mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media

Journal

COMPUTERS & GEOSCIENCES
Volume 152, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cageo.2021.104774

Keywords

Hydro-mechanical-chemical coupling; Poroelasticity; Reactive flow; Mixed finite element method; Enriched Galerkin method; Local conservation

Funding

  1. Danish Hydrocarbon Research and Technology Centre under the Advanced Water Flooding program
  2. 2019 Computers AMP
  3. Geosciences Research grant
  4. National Science Foundation [NSF DMS1913016]
  5. Horizon 2020 Program for Grant H2020 ERC CoG 2015 AROMA-CFD [681447]
  6. Research Grants Council of Hong Kong [27205918]

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This paper presents a mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media, combining enriched Galerkin method and three-field mixed finite element method for local mass conservation. It provides a robust and efficient computational method for simulation of reactive flow and transport in deformable porous media, even with strongly heterogeneous and anisotropic material properties.
This paper presents a mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media. The framework combines two types of locally conservative discretization schemes: (1) an enriched Galerkin method for reactive flow, and (2) a three-field mixed finite element method for coupled fluid flow and solid deformation. This combination ensures local mass conservation, which is critical to flow and transport in heterogeneous porous media, with a relatively affordable computational cost. A particular class of the framework is constructed for calcite precipitation/dissolution reactions, incorporating their nonlinear effects on the fluid viscosity and solid deformation. Linearization schemes and algorithms for solving the nonlinear algebraic system are also presented. Through numerical examples of various complexity, we demonstrate that the proposed framework is a robust and efficient computational method for simulation of reactive flow and transport in deformable porous media, even when the material properties are strongly heterogeneous and anisotropic.

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