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作 者:杨怀杰[1]
机构地区:[1]中国地质大学地球物理与空间信息学院,湖北武汉430074
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
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.
分 类 号:P631[天文地球—地质矿产勘探]
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