BLOCK-CENTERED UPWIND DIFFERENCE ON CHANGING MESHES FOR NUMERICAL SIMULATION OF SEEPAGE FLOW
The three-dimensional displacement problem of oil and water incompressible miscible flow in porous media is preliminary and important in numerical simulation of energy science and mathematics, and its mathematical model is formulated by a nonlinear system of partial differential equations. The pressure and the concentration are defined by an elliptic equation and a convection-dominated diffusion equation, respectively. The pressure determines Darcy velocity and affects the whole physical process. We adopt a conservative block-centered scheme to approximate the pressure and Darcy velocity, and the accuracy of Darcy velocity is improved one order. We use a block-centered upwind method on changing meshes to solve the concentration, where the changing partition is used on the whole computational region. The diffusion term and convection term are approximated by a block-centered scheme and an upwind scheme, respectively. The composite algorithm is effective to solve convection-dominated problems, since numerical oscillation and dispersion are avoided and computational accuracy is improved. Block-centered method is conservative, and the concentration and the adjoint function are computed simultaneously. This physical nature is important in numerical simulation of seepage fluid. Using the convergence theory and techniques of a priori estimates, we derive optimal order estimate errors. Numerical experiments show the feasibility and efficiency, and numerical data are consistent with theoretical results. Thus, this method can be applied to solve some actual problems.
three-dimensional incompressible miscible displacement, block-centered upwind differences on changing meshes, local conservation, convergence analysis, numerical computation.
Received: July 1, 2022; Accepted: January 24, 2023; Published: April 19, 2023
How to cite this article: Yuan Yirang, Song Huailing and Changfeng Li, Block-centered upwind difference on changing meshes for numerical simulation of seepage flow, Far East Journal of Applied Mathematics 116(2) (2023), 173-213. http://dx.doi.org/10.17654/0972096023010
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
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