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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 comprehensive analysis of the metamorphic rock logs and the core data of the 100 ~ 2000m well in the CCSD main hole, a set of second-order model of Fisher metamorphic rocks was established by combining the multivariate statistical method. The lithology logging data in the interval from 100m to 1000m were used to establish the model to identify the lithology in the section from 1000m to 2000m. The recognition accuracy of the metamorphic rocks in the first class was 89.68%. The recognition accuracy of the second gneisses Is 92.96%. The recognition accuracy of the second grade eclogite is 84.38%, and the good application effect is achieved. Compared with a single identification method, the accuracy of the eclogite is improved.