低渗透多孔介质有效孔隙度分析

M. Zaheer, A. Shahab
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摘要

1.0. 通过多孔介质的输送导致污染物扩散到其他流体介质中。低渗透介质(LPPM)通常与细粒沉积矿床(如页岩和粘土)有关。这些环境中的地下水流动似乎影响着地质、水文和地球化学系统的发展。为了降低地下水污染的风险,垃圾处理场一般都涉及低渗透粘土层界面。粘土介质的水力导电性通常小于10-7 cm -1[1]。综上所述,低渗透介质不仅在地下水流动过程中发挥重要作用,而且在溶质运移过程中也发挥着重要作用。这篇简短的综述介绍了在一维色谱柱(长度为3cm至10cm)中进行的一系列均匀介质输运实验以及选择NaCl作为示踪剂进行的浸出过程[2]。建模方法采用平流-色散方程(ADE)、分数平流-色散方程(FADE)、两区模型(TRM)和连续次随机漫步(CTRW)理论。有效孔隙度计算公式为ne=q/v,其中q为达西速度,v为实际流速。在此过程中,利用ADE估计的速度来计算有效孔隙度。在浸出过程中,由于FADE与实验数据非常吻合[2],因此使用了从FADE中估计的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Porosity Analysis in Low-Permeability Porous Media
1.0. Introduction: The transport through the porous medium leads the contaminant to spread into the other fluid medium. Low-permeability media (LPPM) is most commonly associated with fine-grained sedimentary deposits such as shales and clays. Groundwater flow in these environments appears to affect the development of geologic, hydrologic, and geochemical systems. Low-permeability clay layer interfaces are generally involved at waste disposal sites as the purpose of reducing the risk of groundwater contamination. For clay media have typically a hydraulic conductivity less than 10-7 cms-1 [1]. Overall, low permeability media might play a significantly important role not only in the groundwater flow process but also for the solute transport process. This short review provides an insight into series of homogeneous medium transport experiments in one-dimensional columns (length 3cm to 10 cm) for transport and the leaching process conducted which NaCl was chosen as a Tracer [2]. The modeling approaches was used the Advection-Dispersion Equation (ADE), Fractional Advection-Dispersion Equation (FADE), Two-Region Model (TRM), and the Continuous Times Random Walk (CTRW) theory. The effective porosity can be calculated as ne=q/v, in which q is the Darcian velocity, while v is the actual flow velocity. The velocities estimated from ADE during this process were used to calculate the effective porosity. For the leaching process, the velocities estimated from FADE were used as the FADE has a perfect agreement with the experimental data [2].
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