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基于测井的柿庄地区宏观煤岩类型划分(增刊)
引用本文:赵石虎,于腾腾,何云超,姬松焰,胡银姐,陈彦.基于测井的柿庄地区宏观煤岩类型划分(增刊)[J].中国矿业,2017,26(S1).
作者姓名:赵石虎  于腾腾  何云超  姬松焰  胡银姐  陈彦
作者单位:中国矿业大学北京地球科学与测绘工程学院,中国矿业大学北京地球科学与测绘工程学院,中国矿业大学北京地球科学与测绘工程学院,中国矿业大学北京地球科学与测绘工程学院,中国矿业大学北京地球科学与测绘工程学院,中国矿业大学北京地球科学与测绘工程学院
摘    要:以柿庄地区3号煤层的钻井取心数据为基础,划分了研究区3号煤层宏观煤岩类型,结合测井资料,分析了宏观煤岩类型与补偿密度测井、声波时差测井和自然伽马测井的相关关系,利用多元线性回归方法,建立了柿庄地区3号煤层宏观煤岩类型测井解释模型,并划分了该煤层宏观煤岩类型。结果表明:该预测模型能较准确地对研究区3号煤层宏观煤岩类型进行划分,为研究区煤层气甜点区预测提供依据。

关 键 词:测井解释  宏观煤岩类型  多元回归  柿庄地区
收稿时间:2017/5/19 0:00:00
修稿时间:2017/5/19 0:00:00

Classification of macroscopic type based on logging in Shizhuang area
ZHAO Shi-hu,YU Teng-teng,HE Yun-chao,JI Song-yan,HU Yin-jie and CHEN Yan.Classification of macroscopic type based on logging in Shizhuang area[J].China Mining Magazine,2017,26(S1).
Authors:ZHAO Shi-hu  YU Teng-teng  HE Yun-chao  JI Song-yan  HU Yin-jie and CHEN Yan
Affiliation:College of Geoscience and Surveying Engineering,China University of Mining and TechnologyBeijing,Beijing,100083,College of Geoscience and Surveying Engineering,China University of Mining and TechnologyBeijing,Beijing,100083,College of Geoscience and Surveying Engineering,China University of Mining and TechnologyBeijing,Beijing,100083,College of Geoscience and Surveying Engineering,China University of Mining and TechnologyBeijing,Beijing,100083,College of Geoscience and Surveying Engineering,China University of Mining and TechnologyBeijing,Beijing,100083,College of Geoscience and Surveying Engineering,China University of Mining and TechnologyBeijing,Beijing,100083
Abstract:Based on the coring data of No.3 seam in Shizhuang area, the macrocopic type was divided, and the correlations between macrocopic type and compensated density logging, acoustic time difference logging and natural gamma logging were analysed with well-logging data. A logging interpreting model of macrocopic type of No.3 seam was established with multiple regression. The results showed that the prediction model can accurately classify the macrocopic type of No.3 seam in Shizhuang area which provides the basis for prediction of dessert area of coalbed methane in the study area.
Keywords:Log interpretation  macrocopic type  multiple regression  Shizhuang area
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