2015
DOI: 10.1016/j.jcp.2015.10.001
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Three-dimensional control-volume distributed multi-point flux approximation coupled with a lower-dimensional surface fracture model

Abstract: A novel cell-centred control-volume distributed multi-point flux approximation (CVD-MPFA) finite-volume formulation is presented for discrete fracture-matrix simulations on unstructured grids in three-dimensions (3D). The grid is aligned with fractures and barriers which are then modelled as lower-dimensional surface interfaces located between the matrix cells in the physical domain. The three-dimensional pressure equation is solved in the matrix domain coupled with a two-dimensional (2D) surface pressure equa… Show more

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Cited by 50 publications
(38 citation statements)
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“…The two main methodologies in use are continuum models, where the rock mass is represented as a porous medium and the hydraulic conductivity is a scale‐dependent correlated stochastic field, and discrete fracture network (DFN) models, where the geometry and properties of individual fractures are explicitly represented. Other models that consider the combined effect of fracture and matrix have also been recently developed [ Ahmed et al ., , ; Roubinet et al ., ; Willmann et al ., ]. Although DFN models can typically represent a wider range of transport phenomena than continuum models [ Painter and Cvetkovic , ; Painter et al ., ], the inclusion of detailed features introduces additional layers of uncertainty because more parameters have to be calibrated [ Neuman , ].…”
Section: Introductionmentioning
confidence: 99%
“…The two main methodologies in use are continuum models, where the rock mass is represented as a porous medium and the hydraulic conductivity is a scale‐dependent correlated stochastic field, and discrete fracture network (DFN) models, where the geometry and properties of individual fractures are explicitly represented. Other models that consider the combined effect of fracture and matrix have also been recently developed [ Ahmed et al ., , ; Roubinet et al ., ; Willmann et al ., ]. Although DFN models can typically represent a wider range of transport phenomena than continuum models [ Painter and Cvetkovic , ; Painter et al ., ], the inclusion of detailed features introduces additional layers of uncertainty because more parameters have to be calibrated [ Neuman , ].…”
Section: Introductionmentioning
confidence: 99%
“…While beneficial for the gridding, the coupling between the discretization of fractures and matrix is more involved than in the classical FV DFM models using conforming grids that are considered in this paper. Such methods include the vertex-centred method by Reichenberger et al (2006), the cell-centre based one introduced by Karimi-Fard et al (2004) and extended by Sandve et al (2012), and the related method of Ahmed et al (2015) using transfer functions for the fracture-matrix coupling. Other approaches include the vertex approximate gradient and hybrid FV schemes (Brenner, Groza, Guichard, Lebeau, & Masson, 2016) and the two-phase method (Monteagudo & Firoozabadi, 2004), and refer to Geiger & Matthäi (2014) for a review of numerical methods based on the DFM model.…”
Section: Introductionmentioning
confidence: 99%
“…Let us denote by R ν (X D ) the vector R ν,i , i ∈ C ∪{e} , and let us rewrite the conservation equations (18), (19), (20) and the closure laws (21) as well as the boundary conditions in vector form defining the following non-linear system at each time step n = 1, 2, ..., N T…”
Section: Newton-raphson Non-linear Solvermentioning
confidence: 99%
“…In [4] a cell-centred Finite Volume scheme using a Two Point Flux Approximation (TPFA) is proposed assuming the orthogonality of the mesh and isotropic permeability fields. Cell-centred Finite Volume schemes can be extended to general meshes and anisotropic permeability fields using MultiPoint Flux Approximations (MPFA) (see [15], [16], [17], [18], [19]). MPFA schemes can lack robustness on distorted meshes and large anisotropies due to the non symmetry of the discretization.…”
Section: Introductionmentioning
confidence: 99%