arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2002.08180physics.geo-phcs.NAmath.NA

流体通过具有超低基质渗透率的各向异性可变形双重孔隙介质的流动:一个连续介质框架

Fluid flow through anisotropic and deformable double porosity media with ultra-low matrix permeability: A continuum framework

Qi Zhang, Xia Yan, Jianli Shao

AI总结:

本文提出一个耦合连续介质框架,用于模拟超低渗、各向异性且可变形双重孔隙介质中的裂隙 Darcy 流、基质非 Darcy 流、传质与多孔弹性变形。

摘要:

裂隙多孔介质或双重孔隙介质在自然界中十分常见。与此同时,由于双峰孔径分布、各向异性、多场耦合以及多种流动模式,精确建模仍然是一项重大挑战。本研究旨在构建一个综合的耦合连续介质框架,以充分考虑这些关键特征。在我们的框架中,微裂隙网络中的流体流动采用广义 Darcy 定律建模,其中等效裂隙渗透率由详细的地质表征升尺度得到。渗透性低得多的基质中的液体遵循以阈值和非线性为特征的低速非 Darcy 流动。流体传质被假定为形状因子、压力差和(可变)界面渗透率的函数。固体变形依赖于由能量平衡方程导出的热力学一致的有效应力,并依据各向异性多孔弹性理论进行建模。讨论围绕一般的双重孔隙介质展开。模型应用表明,我们的框架能够捕捉耦合、多孔弹性系数、各向异性和超低基质渗透率在决定压力场和位移场方面的关键作用。

英文摘要:

Fractured porous media or double porosity media are common in nature. At the same time, accurate modeling remains a significant challenge due to bi-modal pore size distribution, anisotropy, multi-field coupling, and various flow patterns. This study aims to formulate a comprehensive coupled continuum framework that could adequately consider these critical characteristics. In our framework, fluid flow in the micro-fracture network is modeled with the generalized Darcy's law, in which the equivalent fracture permeability is upscaled from the detailed geological characterizations. The liquid in the much less permeable matrix follows a low-velocity non-Darcy flow characterized by threshold values and non-linearity. The fluid mass transfer is assumed to be a function of the shape factor, pressure difference, and (variable) interface permeability. The solid deformation relies on a thermodynamically consistent effective stress derived from the energy balance equation, and it is modeled following anisotropic poroelastic theory. The discussion revolves around generic double porosity media. Model applications reveal the capability of our framework to capture the crucial roles of coupling, poroelastic coefficients, anisotropy, and ultra-low matrix permeability in dictating the pressure and displacement fields.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑