论文标题
在均匀谷物包中建模单相渗透性
Modeling single-phase permeability in uniform grain packs
论文作者
论文摘要
单相通透性（K）的准确估计在许多领域具有广泛的应用，尤其是在多孔材料中建模流量和运输。文献中已经提出了各种技术来估计其他培养基特性的K，例如孔隙率，谷物和/或孔径分布以及孔连接性。其中包括统计物理学的关键路径分析（CPA），最初开发为模拟具有广泛电导分布的培养基流体流量，已成功应用于异质土壤和岩石。但是，需要研究其应用于代表具有较窄电导分布的均匀多孔介质的均匀球和/或玻璃珠包装。在这项研究中，我们从CPA中调用了CPA的概念，并从平均晶粒直径和均匀的沙子和玻璃珠包装中估算了K。通过将理论与八个数据集进行比较，包括文献中的105个包装，我们证明了CPA可以准确估计均质媒体中的渗透性。我们还将基于CPA的模型估计与Kozeny-Carman，Revil和Cathles以及RGPZ模型的模型估计进行了比较。结果表明，CPA方法比此处研究的其他三个模型更精确地估计K。
Accurate estimation of single-phase permeability (k) has broad application in numerous areas, particularly modeling flow and transport in porous materials. Various techniques have been proposed in the literature to estimate k from other medium's properties, such as porosity, grain and/or pore size distribution, and pore connectivity. Among them critical path analysis (CPA) from statistical physics, first developed to model fluid flow in media with broad conductance distributions, has been successfully applied to heterogeneous soils and rocks. However, its application to uniform sphere and/or glass bead packs that represent homogeneous porous media with narrow conductance distributions needs to be investigated. In this study, we invoke concepts from CPA and estimate k from average grain diameter and formation factor in uniform sand and glass bead packs. By comparing theory with eight datasets including 105 packs from the literature, we demonstrate that CPA estimates permeability in homogeneous media accurately. We also compare our CPA-based model estimations with those from the Kozeny-Carman, Revil and Cathles, and RGPZ models. Results indicate that the CPA approach estimates k more precisely than other three models studied here.
