2009
DOI: 10.1137/070709517
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Coupling of Darcy–Forchheimer and Compressible Navier–Stokes Equations with Heat Transfer

Abstract: This paper is devoted to the coupling of a 2D reservoir model with a 1.5D vertical wellbore model, both written in axisymmetric form. The physical problems are respectively described by the Darcy-Forchheimer and the compressible Navier-Stokes equations, together with an exhaustive energy equation. Each model was previously studied and its finite element discretization was validated. The two weak problems are bound together by means of transmission conditions at the perforations, yielding a non standard mixed f… Show more

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Cited by 24 publications
(17 citation statements)
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“…In recent years, many scientists and engineers have investigated the fluid flow interaction between the conduit and porous media regime . The massive applications, such as karst aquifer subsurface flow system, interaction between the surface flows and subsurface flows, petroleum extraction, industrial filtration, biochemical transport, field flow fractionation for separation and characterization of proteins, blood flow in arteries and veins, etc, attract scientists and engineers to build related fluid dynamical models, including (Navier‐)Stokes‐Darcy model, Stokes‐Darcy‐transport model, Darcy‐Stokes‐Brinkman model, etc . It is not surprising that a great deal of effort has been devoted to develop appropriate numerical methods to solve the (Navier‐)Stokes‐Darcy fluid flow system, including coupled finite element methods, domain decomposition methods, Lagrange multiplier methods, mortar finite element methods, least‐square methods, partitioned time‐stepping methods, two‐grid and multigrid methods, discontinuous Galerkin finite element methods, boundary integral methods, and many others …”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many scientists and engineers have investigated the fluid flow interaction between the conduit and porous media regime . The massive applications, such as karst aquifer subsurface flow system, interaction between the surface flows and subsurface flows, petroleum extraction, industrial filtration, biochemical transport, field flow fractionation for separation and characterization of proteins, blood flow in arteries and veins, etc, attract scientists and engineers to build related fluid dynamical models, including (Navier‐)Stokes‐Darcy model, Stokes‐Darcy‐transport model, Darcy‐Stokes‐Brinkman model, etc . It is not surprising that a great deal of effort has been devoted to develop appropriate numerical methods to solve the (Navier‐)Stokes‐Darcy fluid flow system, including coupled finite element methods, domain decomposition methods, Lagrange multiplier methods, mortar finite element methods, least‐square methods, partitioned time‐stepping methods, two‐grid and multigrid methods, discontinuous Galerkin finite element methods, boundary integral methods, and many others …”
Section: Introductionmentioning
confidence: 99%
“…Many other methods have been developed to solve the Darcy-Stokes(-Brinkman) and other similar models; see [3,8,[10][11][12]16,15,27,42,52,53,55,56,62,63,66,68,69] and the reference cited therein. Among these methods, the domain decomposition method [1,14,39,51,57,67], which can be traced back to [2], is more natural than others because the problem domain naturally consists of two different subdomains and because parallel computation is facilitated; see, e.g., [25] for the BJS condition and [28][29][30][31][32][33]43,46] for simplified BJS conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Many other methods have been developed to solve the Stokes-Brinkman and other similar models; see [1,3,[5][6][7]28,30,34,36,37] and the reference cited therein. Among these methods, domain decomposition is more natural than others because the problem domain naturally consists of two different subdomains and because parallel computation is facilitated; see, e.g., [12] for the BJSJ condition and [13][14][15][16][17][18]23] for simplified BJSJ conditions.…”
mentioning
confidence: 99%