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Closing the gap between analytical and measured coal permeability

机译:关闭分析和测量煤渗透率之间的差距

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摘要

Coal porosity and permeability are key petrophysical parameters, pivotal in facilitating coalbed methane extraction and CO2 sequestration. Distribution of coal fractures, their association with coal stratigraphy, and their depth of occurrence primarily control coal porosity and permeability. The primary coal fracture networks, made of cleats, are the fundamental pathways for fluid flow through coal seams as matrix porosity and permeability are negligible. This paper documents the distribution of cleats and interrelationships amongst their attributes (aperture, spacing) as a function of depth and their role in controlling the porosity-permeability distribution of the Gondwana coals (Raniganj Formation) from India.The analytically computed effective permeability (based on effective aperture) estimations using the measured cleat parameters are more than two orders of magnitude higher than previously reported permeability values derived from geophysical log analysis, laboratory measurements and field tests. Such gaps between analytical results and measured data are also reported from multiple coal-bearing basins around the world. We, therefore, carry out an uncertainty analysis of measured aperture and used reported limits of cleat compressibility to estimate the range of possible permeabilities. We infer that the analytical solution combining the lower bounds of aperture distribution and cleat compressibility can be used as the closest approximation of effective permeability at pre-drill exploration stage of a coalbed methane project.
机译:煤孔隙率和渗透性是关键的岩石物理参数,赋予煤层气萃取和CO2螯合的关键。煤骨折分布,它们与煤层的关系,以及其发生深度主要控制煤孔隙率和渗透性。由夹板制成的主要煤骨折网络是通过煤层流体流动的基本途径,因为基质孔隙率和渗透性可忽略不计。本文根据其属性(孔径,间距)作为深度的函数和它们在控制来自印度的孔子煤(Raniganj Chablation)的孔隙渗透性分布的作用中的函数中的分布。分析计算有效渗透率(基于)在有效的孔径上)使用测量的钢板参数的估计比以前报告的来自地球物理日志分析,实验室测量和现场测试的先前报告的渗透率值高出两个数量级。分析结果和测量数据之间的这种差距也来自世界各地的多个煤炭盆地。因此,我们对测量的孔径进行了不确定性分析,并使用报告的夹板可压缩限制来估计可能的渗透率范围。我们推出结合光圈分布和夹板可压缩性的下界的分析溶液可用作煤层甲烷项目的预钻探勘探阶段的有效渗透性的最近近似。

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