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PORE GEOMETRY AND ROCK PROPERTIES

机译:孔几何和岩石属性

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This article summarises the early results of a research project carried out over the past 4 years.The principle objective of the project,was to compare special core analysis measurements with parameters derived from the processing of back scattered electron images.The data base consists of 82 samples from 9 wells.Each sample has Φ,K_(ain)FRF and pore measurements acquired from 1066 image fields,(13lsample).We found the linear equation using pore area,(image porosity),predicts permeability with a Standard Error of the Mean,(σ),of 0.284 log,,permeability units.Using a pore length squared,in addition to pore area,predicts permeability having σ = 0.266 loglo permeability units.For reference,core analysis porosity predicts permeability having o = 0.637 loglo permeability units.Following success with the prediction of permeability,the research focused on another simple flow-related property,Formation Resistivity Factor.It was found that the reciprocal of image porosity produced an acceptable estimator for a large proportion of the data set.It has been concluded therefore,that image porosity is probably a measure of the samples effective porosity rather than the total porosity.The conclusion,therefore,is that the analysis of back scattered electron images produces both a diagnostic tool for evaluating differences in the rock properties from a reservoir sequence,and a method to calculate rock properties in the absence of more traditional data.
机译:本文总结了过去4年来进行的研究项目的早期结果。该项目的原则目标是将特殊的核心分析测量与从后散射电子图像的处理的参数进行比较。数据库由82组成来自9孔的样品。中样品具有φ,k_(ain)FRF和从1066图像场获取的孔测量,(13Lsample).We发现使用孔区域(图像孔隙度)的线性方程,预测具有标准误差的渗透率平均值,(σ),0.284的对数,渗透性单位。除孔面积外,孔长度平方预测具有σ= 0.266 LOGLO渗透单元的渗透率。参考,核心分析孔隙率预测具有o = 0.637 LOGLO渗透性的渗透率单位。通过预测渗透性的成功,研究专注于另一个简单的流动相关性,形成电阻率因子。发现图像孔隙度的倒数产生可接受的因此,估计是大部分数据集的估算器。一种用于评估储层序列的岩石属性差异的诊断工具,以及在没有更传统数据的情况下计算岩石属性的方法。

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