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基于孔隙度分级的页岩脆性矿物指数预测方法
Shale brittle mineral index prediction method based on porosity classification

作  者: ; (周海燕);

机构地区: 广东石油化工学院

出  处: 《物探化探计算技术》 2018年第1期8-12,共5页

摘  要: 均分权值计算法是目前应用最为广泛的一种弹性参数法,但该方法在孔隙度变换范围比较大的地区存在适应差的问题,针对这一问题,通过研究提出一种基于孔隙度分级的弹性参数法。该方法最主要的优点体现在,采用孔隙度分级的思想来获得准确度更高的页岩脆性矿物指数预测。研究成果在某地区S井的应用效果表明,提出的方法预测精度要远好于目前常用方法,这说明,本方法能够被用来更好地指导研究区的脆性矿物指数预测。 At present,bisection weight computation method is the most widely used elastic parameter method,but it cannot adapt to the prediction of shale brittle mineral index of some region with large porosity range.To solve this problem,this paper presents an elastic parameter method based on porosity classification.This new method includes five steps:the first step,data of Young's modulus and Poisson's ratio are calculated based on P-wave velocity,S-wave velocity and density;the second step,data of Young's Modulus with the 104 Mpa as a unit are calculated basis on the first step;the third step,the porosity data is sorted in ascending order;the fourth step,sorting data is divided into three parts each of which has different porosity ranges;the fifth step,brittle mineral index is calculated by using different formulas for data of different porosity ranges.Compared with conventional methods,most significant advantage of the new method is that the more accurate prediction of shale brittle mineral index is obtained by using the idea of porosity classification.Application effect about research result applied in S well of a certain region shows that the prediction accuracy of the proposed method is far better than the present commonly used method,which suggests that the proposed method can be used to better guide the brittleness mineral index prediction in the study area.

关 键 词: 弹性参数法 脆性矿物指数 孔隙度分级 杨氏模量 泊松比

领  域: [天文地球—地质矿产勘探] [天文地球—地质学]

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作者 陈立志
作者 阮湘燕

相关机构对象

机构 五邑大学
机构 华南师范大学数学科学学院
机构 广东外语外贸大学思科信息学院

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