摘要
南堡5号构造具有火山多期喷发、岩相岩性复杂的地质特征,岩性识别困难.本文在取心分析、薄片鉴定、电镜扫描的基础上,分析总结不同岩性的测井响应特征,综合应用常规测井、ECS测井和成像测井资料,采用"结构"-"成分"-"粒级"的三级分类方法,利用交会图技术进行岩性识别.同时为能利用多条测井曲线识别岩性,并能避免分析问题的难度和复杂性,采用自动判别分析、主成分分析方法进行岩性自动识别,取得了较好的效果.
The lithology of Nanpu 5th structure is hard to identify because of its geologic characteristic of multiphase volcanic eruption and complicate lithofacie I~ lithology. Based on the coring analysis, thin section analysis and SEM, the paper concluded log responses of every lithology, and synthetically used conventional logging, ECS logging and FMI logging data, adopted three-stage method of ＂texture＂-＂component＂-＂size fraction＂ to identify the lithology with cross plot technique. Moreover, the essay adopted automatic discriminant analysis and principal component analysis to identify the lithology in order to make use of more logging traces and meanwhile getting rid of analysis difficulty and complexity.
出处
《地球物理学进展》
CSCD
北大核心
2012年第4期1640-1647,共8页
Progress in Geophysics
关键词
火山岩
岩性识别
自动判别
主成分分析
Volcanic Rock, Lithology Identification, Automatic Discriminant, Principal Component Analysis
