Abstract:We study a model nonlinear, degenerate, advection-diffusion equation having application in petroleum reservoir and groundwater aquifer simulation. The main difficulty is that the true solution is typically lacking in regularity; therefore, we consider the problem from the point of view of optimal approximation. Through time integration, we develop a mixed variational form that respects the known minimal regularity, and then we develop and analyze two versions of a mixed finite element approximation, a simpler … Show more
“…Concerning the situation with non-negligible capillary pressure, there are many references when the diffusive F vanishes after a threshold valued. We mention the reference [6,17,18,22,33,36,37,38,39]. In our approach we allow both degenerate parabolic and hyperbolic situations.…”
Section: And If It Satisfies the Following Entropy Inequalities For Amentioning
In this article we consider a mathematical model for a low porosity porous medium saturated by water, present both as the liquid and the vapor phase. In the isothermal case we propose a new formulation using a single nonlinear parabolic-hyperbolic equation for the fluid mixture density X. We present the derivation of the unified model and a number of numerical simulations based on regularization and Kirchhoff's transform.
“…Concerning the situation with non-negligible capillary pressure, there are many references when the diffusive F vanishes after a threshold valued. We mention the reference [6,17,18,22,33,36,37,38,39]. In our approach we allow both degenerate parabolic and hyperbolic situations.…”
Section: And If It Satisfies the Following Entropy Inequalities For Amentioning
In this article we consider a mathematical model for a low porosity porous medium saturated by water, present both as the liquid and the vapor phase. In the isothermal case we propose a new formulation using a single nonlinear parabolic-hyperbolic equation for the fluid mixture density X. We present the derivation of the unified model and a number of numerical simulations based on regularization and Kirchhoff's transform.
“…An alternative approach is to combine the two nonlinearities in (1.3) into a single one and use the Kirchhoff transformation [2,5,31,37]. For this approach, assuming that the saturation is a Lipschitz continuous function of the pressure, as well as ∂ t Θ ∈ L 2 (J; L 2 (Ω)), an τ 2 + h 2 convergence order is obtained in [5,31,37]. The regularity assumption on ∂ t Θ is given u p in [31], resulting in a reduction of the convergence order to τ + h 2 .…”
Section: Notations and Assumptionsmentioning
confidence: 99%
“…Before dealing with the flux equation (4.2) we mention that the analysis in [5,37] carried out for the Richards equation leaves the flux equation unchanged, and considers the time integrated variant of the balance equation (4.1). Here we proceed as in [33] and integrate also (4.2) in time to obtain…”
Section: Initially We Takementioning
confidence: 99%
“…in [11]. Due to their local mass conservation property, mixed finite element methods are a valuable discretization technique for problems involving flow in porous media [3,4,5,11,12,16,17,31,33,37,41,42].…”
mentioning
confidence: 99%
“…In this paper we analyze the EI-MFE scheme for the transport equation (1.1), by employing techniques that are similar to those used in [5,31,37]. The main result shows the convergence of the fully discrete numerical scheme for (1.1).…”
Abstract.In this paper we analyze an Euler implicit-mixed finite element scheme for a porous media solute transport model. The transporting flux is not assumed given, but obtained by solving numerically the Richards equation, a model for sub-surface fluid flow. We prove the convergence of the scheme by estimating the error in terms of the discretization parameters. In doing so we take into account the numerical error occurring in the approximation of the fluid flow. The paper is concluded by numerical experiments, which are in good agreement with the theoretical estimates.
Numerical solution of the one‐dimensional Richards' equation is the recommended method for coupling groundwater to the atmosphere through the vadose zone in hyperresolution Earth system models, but requires fine spatial discretization, is computationally expensive, and may not converge due to mathematical degeneracy or when sharp wetting fronts occur. We transformed the one‐dimensional Richards' equation into a new equation that describes the velocity of moisture content values in an unsaturated soil under the actions of capillarity and gravity. We call this new equation the Soil Moisture Velocity Equation (SMVE). The SMVE consists of two terms: an advection‐like term that accounts for gravity and the integrated capillary drive of the wetting front, and a diffusion‐like term that describes the flux due to the shape of the wetting front capillarity profile divided by the vertical gradient of the capillary pressure head. The SMVE advection‐like term can be converted to a relatively easy to solve ordinary differential equation (ODE) using the method of lines and solved using a finite moisture‐content discretization. Comparing against analytical solutions of Richards' equation shows that the SMVE advection‐like term is >99% accurate for calculating infiltration fluxes neglecting the diffusion‐like term. The ODE solution of the SMVE advection‐like term is accurate, computationally efficient and reliable for calculating one‐dimensional vadose zone fluxes in Earth system and large‐scale coupled models of land‐atmosphere interaction. It is also well suited for use in inverse problems such as when repeat remote sensing observations are used to infer soil hydraulic properties or soil moisture.
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