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A 3D Network Model of Rock Permeability Impairment Due to Suspended Particles in Injection Water

机译:注入水中悬浮颗粒引起的岩石渗透性损害的3D网络模型

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A 3-D network model is used to simulate the impairment ofrnporous medium permeability during the flow of water withrnsuspended particles.rnDigitized 2-D images of the porous systems are obtained byrnpetrographic image analysis of rock thin sections.rnGeostatistical procedures are applied to construct 3-D virtualrnrealizations of the medium. The pore body and throat sizesrndistributions of the virtual medium and its connectivity,rnexpressed by the average coordination number, arerndetermined. Alternatively, these characteristics are obtainedrnby using capillary driven porosimetry data and empiricalrncorrelations. A regular cubic network of sites (pore bodies)rnand bonds (pore throats) that reproduces these characteristicsrnis structured.rnNetwork absolute permeability can be calculated by solving arnsystem of linear mass balance equations for the sites, alongrnwith equations of hydraulic conductivity for the bonds.rnRealistic permeability estimates are obtained.rnMotion and contingent capture of injected particles inside thernmedium are simulated. Both physicochemical interception andrnsize exclusion mechanisms of particle retention are modeled,rnthe former with the aid of two empirical parameters. Particlerncapture modifies the flow in the network, that is recurrentlyrncalculated, resulting in permeability decline as more particlesrnare retained.rnNetwork simulated data and their comparison with thosernobtained in laboratory tests are reported. Besides particle tornpore throat size ratio, concentration and flow velocity, otherrnimportant factors governing the permeability impairment are:rn1. medium coordination number and 2. shape of pore throats.
机译:使用3-D网络模型来模拟水悬浮颗粒流动过程中多孔介质渗透性的损害。-rnn通过对岩石薄层的岩相图像分析获得多孔系统的二维2-d图像.rn-地统计学程序用于构造3-媒介的虚拟实现。确定虚拟介质的孔体和喉咙大小及其连通性,以平均配位数表示。可替代地,这些特性可以通过使用毛细管驱动的孔隙率数据和经验相关性来获得。可以重现这些特征的位置(孔体)和键(孔喉)的规则立方网络。可以通过求解位置的线性质量平衡方程的神经系统以及键的水力传导率方程来计算网络绝对渗透率。模拟了介质中注入的粒子的运动和偶发捕获。借助两个经验参数,对颗粒保留的物理化学拦截和尺寸排阻机制进行了建模。粒子捕获会修改网络中的流量,该流量会被反复计算,导致随着保留更多的粒子而导致渗透率下降。报告了网络模拟数据及其与实验室测试中获得的数据的比较。除了颗粒撕裂孔喉的尺寸比,浓度和流速外,控制渗透性损害的其他重要因素还包括:中等的配位数和2.喉咙的形状。

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