| 张瑶,赵军龙.基于地球物理测井的煤体结构识别及对煤层气开采的影响[J].矿产勘查,2020,11(10):2194-2200 |
| 基于地球物理测井的煤体结构识别及对煤层气开采的影响 |
| Coal structure identification based on geophysical logging and influence of coal-bed gas exploitation |
| 投稿时间：2020-06-07 |
| DOI： |
| 中文关键词: 煤层气 煤体结构 测井信息 定量识别 预测方法 |
| 英文关键词: coal-bed gas, coal structure,logging information,quantitative identification,prediction method |
| 基金项目: |
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| 中文摘要: |
| 为了提高地球物理测井方法在煤体结构识别中的应用效果,基于大量文献调研,梳理了煤体结构的概念及其划分方案,分析了煤体结构对煤层气开采的影响,总结了识别煤体结构的测井系列,归纳了煤体结构的测井识别方法,最后进行了实例分析。研究表明,测井方法是煤体结构识别最经济高效的地球物理方法,其中井径、声波、密度、中子测井对识别煤体结构效果较好。基于岩石物理分析,将多种测井资料有机结合,实现不同尺度信息融合,借助非线性数学方法可以有效提高煤体结构判识评价效果。 |
| 英文摘要: |
| In order to improve the application effect of geophysical logging method in coal structure identification,this paper based on a large number of literature investigations,combed the concept of coal structure and its division method,analyzed the influence of coal structure on coal-bed methane mining,and summarizes the logging series for identifying coal structure,and summarizes the logging identification methods for coal structure,finally carries out an example analysis. The research shows that the logging method is the most cost-effective geophysical method for coal structure identification. Among them,the well diameter,sound wave,density,and neutron logging have a better effect on identifying coal structure. Based on petrophysical analysis,a variety of well logging data are organically combined to realize the fusion of information at different scales. With the help of non-linear mathematical methods,the effect of coal structure identification and evaluation can be effectively improved. |
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