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A methodology to predict the gas permeability parameters of tight reservoirs from nitrogen sorption isotherms and mercury porosimetry curves

机译:一种方法,以预测氮素吸附等温线和汞孔隙率曲线的静液体渗透性参数

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摘要

A methodology is suggested for the explicit computation of the absolute permeability and Knudsen diffusion coefficient of tight rocks (shales) from pore structure properties.The pore space is regarded as a poreand-throat network quantified by the statistical moments of bimodal pore and throat size distributions, pore shape factors, and pore accessibility function.With the aid of percolation theory, analytic equations are developed to express the nitrogen (N2) adsorption/desorption isotherms and mercury (Hg) intrusion curve as functions of all pertinent pore structure parameters.A multistep procedure is adopted for the successive estimation of each set of parameters by the inverse modeling of N2 adsorption–desorption isotherms, and Hg intrusion curve.With the aid of critical path analysis of percolation theory, the absolute permeability and Knudsen diffusion coefficient are computed as functions of estimated pore network properties.Application of the methodology to the datasets of several shale samples enables us to evaluate the predictability of the approach.
机译:提出了一种方法,用于明确计算来自孔结构特性的紧密岩石(Shales)的绝对渗透率和knudsen扩散系数的明确计算。孔隙空间被认为是由双峰孔和喉部尺寸分布的统计时刻量化的Poreand咽喉网络,孔隙形状因子和孔隙可访问功能。通过渗透理论的帮助,开发了分析方程以表达氮(N2)吸附/解吸等温线和汞(Hg)入侵曲线作为所有相关孔结构参数的函数。多学期通过N2吸附 - 解吸等温线的逆建模和HG入侵曲线的逆建模来采用程序。随着渗透理论的临界路径分析,绝对渗透率和knudsen扩散系数被计算为函数估计孔网络属性。方法的应用到SECT数据集Al页岩样本使我们能够评估方法的可预测性。

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