Filtration of Two Immiscible Incompressible Fluids in a Thin Poroelastic Layer

P. V. Gilev, A. A. Papin
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Abstract

The paper considers a mathematical model of the filtration of two immiscible incompressible fluids in deformable porous media. This model is a generalization of the Musket–Leverett model, in which porosity is a function of the space coordinates. The model under study is based on the equations of conservation of mass of liquids and porous skeleton, Darcy’s law for liquids, accounting for the motion of the porous skeleton, Laplace’s formula for capillary pressure, and a Maxwell-type rheological equation for porosity and the equilibrium condition of the “system as a whole.” In the thin layer approximation, the original problem is reduced to the successive determination of the porosity of the solid skeleton and its speed, and then the elliptic-parabolic system for the “reduced” pressure and saturation of the fluid phase is derived. In view of the degeneracy of equations on the solution, the solution is understood in a weak sense. The proofs of the results are carried out in four stages: regularization of the problem, proof of the maximum principle, construction of Galerkin approximations, and passage to the limit in terms of the regularization parameters based on the compensated compactness principle.

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两个不相溶的不可压缩流体在一个薄薄的多孔弹性层中的过滤
摘要 本文研究了两种不相溶可压缩流体在可变形多孔介质中过滤的数学模型。该模型是 Musket-Leverett 模型的一般化,其中孔隙度是空间坐标的函数。所研究的模型基于液体和多孔骨架的质量守恒方程、液体的达西定律(考虑到多孔骨架的运动)、毛细管压力的拉普拉斯公式、孔隙度的麦克斯韦流变方程以及 "系统整体 "的平衡条件。在薄层近似中,原始问题被简化为连续确定固体骨架的孔隙率及其速度,然后推导出流体相的 "还原 "压力和饱和度的椭圆抛物线系统。结果的证明分四个阶段进行:问题的正则化、最大原则的证明、伽勒金近似的构建以及根据补偿紧凑性原则通过正则化参数的极限。
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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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