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Connectivity, formation factor and permeability of 2D fracture network

机译:2D裂缝网络的连接,形成因子和渗透性

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The purpose of this paper is to investigate the effects of fracture connectivity and length distributions on the electrical formation factor, F, of random fracture network using percolation theory. We assumed that the matrix was homogeneous and low-permeable, but the connectivity and length distributions of fracture system were randomly variable. F of fracture network is analyzed via finite element method. The main result is that: different from the classical percolation "universal" power law for porous-type rocks, F of fracture network obeys a normalized "universal" scaling relation using the length scale (l)/L ((l) is fracture mean length, and L is the domain size). Our proposed formation factor model, derived from the normalized "universal" scaling relationship, is valid in fracture network with constant fracture length and length distributions, showing that the normalized "universal" scaling law is independent of fracture patterns. The normalized scaling relation is also successfully used to derive the permeability model of 2D random fracture network using the previously published dataset, which obtained better fitting results than before. (C) 2017 Elsevier B.V. All rights reserved.
机译:本文的目的是使用渗滤理论研究裂缝连通性和长度分布对随机骨折网络的电气形成系数F的影响。我们假设基质是均匀且低渗的,但断裂系统的连通性和长度分布是随机变量的。通过有限元法分析骨折网络的F.主要结果是:与多孔型岩石的经典渗透“通用”电源法不同,骨折网络遵循常规化“通用”缩放关系,使用长度秤(L)/ L((L)是裂缝意味着长度,l是域大小)。我们所提出的形成因子模型,来自归一化的“通用”缩放关系,在具有恒定断裂长度和长度分布的裂缝网络中有效,表明归一化的“通用”缩放法与骨折模式无关。归一化的标度关系也成功地用于导出使用以前发表的数据集,获得比以前更好拟合结果2D随机裂缝网络的渗透率模型。 (c)2017年Elsevier B.V.保留所有权利。

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