摘要
通过对CCSD主孔100~2000m井段变质岩测井资料以及岩芯资料的综合分析,结合多元统计学方法,建立了一套用Fisher判别变质岩的二级模型。利用100~1000m井段的岩性测井资料建立模型,对1000~2000m井段的岩性进行识别,一级大类变质岩的识别准确率为89.68%,二级片麻岩的识别准确率为92.96%,二级榴辉岩的识别准确率为84.38%,取得了良好的应用效果,与单一的识别方法相比,提高了准确率。
Based on the logging and coring data from depths 100 to 2000 meters in CCSD Main Hole, as well as multivariate statistical methods, we establish a metamorphic rocks recognition model by Fisher discriminant which has two levels. We build the models to i- dentify the lithology from 1000 to 2000 meters with the logging data from 100 to 1000 me- ters: the first level of metamorphic rock identification rate is 89.68%, the second level of gneiss identification rate is 92.26%, and the second level of eclogite identification rate is 84.38%. Compared to a single identification method, the effect of its application is a- chieved and the accuracy is improved.
出处
《工程地球物理学报》
2012年第4期445-451,共7页
Chinese Journal of Engineering Geophysics
关键词
中国大陆科学钻探
测井响应
变质岩
岩性识别
Chinese continental scientific drilling (CCSD)
log response
metamorphic rock
lithology identification