基于煤岩脆性指数的煤体结构测井定量判识

doi:10.3969/j.issn.1673-8926.2017.02.017

岩性油气藏 ›› 2017, Vol. 29 ›› Issue (2): 139–144.doi: 10.3969/j.issn.1673-8926.2017.02.017

基于煤岩脆性指数的煤体结构测井定量判识

艾林^1,2, 周明顺³, 张杰⁴, 梁霄^1,2, 钱博文^1,2, 刘迪仁^1,2

1. 油气资源与勘探技术教育部重点实验室(长江大学), 武汉 430100;
2. 长江大学非常规油气湖北省协同创新中心, 武汉 430100;
3. 中国石油华北油田分公司勘探开发研究院, 河北任丘 062552;
4. 中国石油华北油田分公司地球物理勘探研究院, 河北任丘 062552

收稿日期:2016-08-29 修回日期:2016-10-19 出版日期:2017-03-21 发布日期:2017-03-21
第一作者:艾林(1990-),男,长江大学在读硕士研究生,研究方向为测井方法原理和煤层气测井评价。地址:(430100)湖北省武汉市蔡甸区大学路111号长江大学武汉校区。Email:1393737530@qq.com
通信作者: 刘迪仁(1965-),男,博士,教授,主要从事测井正反演及复杂储层测井评价等方面的教学和科研工作。Email:liudr666@163.com。
基金资助:
国家自然科学基金项目“地层条件下富有机质页岩电磁响应机理与应用基础研究”（编号：U1562109）资助

Quantitative identification of coal structure based on coal rock brittleness index by logging data

AI Lin^1,2, ZHOU Mingshun³, ZHANG Jie⁴, LIANG Xiao^1,2, QIAN Bowen^1,2, LIU Diren^1,2

1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China;
2. Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan 430100, China;
3. Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, Hebei, China;
4. Research Institute of Geophysical Exploration, PetroChina Huabei Oilfield Company, Renqiu 062552, Hebei, China

Received:2016-08-29 Revised:2016-10-19 Online:2017-03-21 Published:2017-03-21

摘要/Abstract

摘要： 准确判识煤体结构是煤层气勘探开发研究的一个关键问题，不同煤体结构类型的煤层，因孔隙大小、裂隙网络和破碎程度不同，对煤层气富集和运移的影响也不相同。根据煤体的破碎程度，将沁水盆地F 区块3# 煤层煤体结构类型划分为原生结构、过渡结构和碎裂结构，并分析了不同煤体结构的测井响应特征。统计表明：随着煤体破碎程度增加，测井曲线上通常表现为密度与电阻率均降低、井径扩大、声波时差增大。在测井资料定性划分煤体结构的基础上，提出利用阵列声波测井资料计算煤岩脆性指数来定量判识煤体结构。通过实际应用认为，用煤岩脆性指数定量判识煤体结构是可行的，判识结果与实际钻井取心资料符合率较高，能够提高煤体结构研究的精度。

Abstract: An accurate identification of coal structure is one of key issues in coalbed methane(CBM)exploration and development. Different coal structure have different influences on the migration and enrichment of coalbed methane. According to the coal broken degree,the coal structure of No.3 coal bed was divided into primary structure, transition structure and cataclastic structure in F block of Qinshui Basin,and the characteristics of their logging response were analyzed. The results show that the logging curve is usually characterized with lower density and resistivity,and higher borehole diameter and acoustic time as the coal broken degree increases. Based on the qualitative identifying of coal structure by logging data,array acoustic logging data was used to calculate the coal rock brittleness index(BI)quantitatively. The application results show that it is feasible to identify coal structure quantitatively by the coal rock brittleness index,the identification result is consistent with the actual drilling coring data,and it can greatly reduce the error of the qualitative identification.

中图分类号:

P631

艾林, 周明顺, 张杰, 梁霄, 钱博文, 刘迪仁. 基于煤岩脆性指数的煤体结构测井定量判识[J]. 岩性油气藏, 2017, 29(2): 139–144.

AI Lin, ZHOU Mingshun, ZHANG Jie, LIANG Xiao, QIAN Bowen, LIU Diren. Quantitative identification of coal structure based on coal rock brittleness index by logging data[J]. Lithologic Reservoirs, 2017, 29(2): 139–144.

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基于煤岩脆性指数的煤体结构测井定量判识

Quantitative identification of coal structure based on coal rock brittleness index by logging data

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