Madadi Mahyar, Sahimi Muhammad
Institute for Advanced Studies in Basic Science, Gava Zang, Zanjan 45195-159, Iran.
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Feb;67(2 Pt 2):026309. doi: 10.1103/PhysRevE.67.026309. Epub 2003 Feb 14.
Using the lattice Boltzmann method, we study fluid flow in a two-dimensional (2D) model of fracture network of rock. Each fracture in a square network is represented by a 2D channel with rough, self-affine internal surfaces. Various parameters of the model, such as the connectivity and the apertures of the fractures, the roughness profile of their surface, as well as the Reynolds number for flow of the fluid, are systematically varied in order to assess their effect on the effective permeability of the fracture network. The distribution of the fractures' apertures is approximated well by a log-normal distribution, which is consistent with experimental data. Due to the roughness of the fractures' surfaces, and the finite size of the networks that can be used in the simulations, the fracture network is anisotropic. The anisotropy increases as the connectivity of the network decreases and approaches the percolation threshold. The effective permeability K of the network follows the power law K approximately
我们使用格子玻尔兹曼方法研究岩石裂隙网络二维(2D)模型中的流体流动。方形网络中的每个裂隙由具有粗糙、自仿射内表面的二维通道表示。为了评估模型的各种参数(如裂隙的连通性和开度、其表面的粗糙度轮廓以及流体流动的雷诺数)对裂隙网络有效渗透率的影响,我们系统地改变这些参数。裂隙开度的分布通过对数正态分布能很好地近似,这与实验数据一致。由于裂隙表面的粗糙度以及模拟中可使用的网络的有限尺寸,裂隙网络是各向异性的。随着网络连通性降低并接近渗流阈值,各向异性增加。网络的有效渗透率(K)遵循幂律(K\approx\delta^{\beta}),其中(\delta)是网络中裂隙的平均开度,指数(\beta)可能取决于粗糙度指数。在雷诺数(Re\approx O(1))时获得从线性到非线性流动状态的转变,但转变的精确数值(Re)取决于裂隙表面的粗糙度。