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基于测井参数的煤体结构预测模型及空间展布规律
  • Title

    Prediction model of coal-body structure and spatial distibution law based on logging parameters

  • 作者

    陶传奇王延斌倪小明张崇崇马婷

  • Author

    Tao Chuanqi Wang Yanbin Ni Xiaoming Zhang Chongchong Ma Ting

  • 单位

    中国矿业大学(北京)地球科学与测绘工程学院河南理工大学能源科学与工程学院

  • Organization
    College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beiing) School of
    Energy Science and Engineering, Henan Polytechnic University
  • 摘要

    为了定量、准确地预测煤体结构空间展布,基于沁水盆地柿庄北区块煤层气测井和钻井取心数据,引入煤岩地质强度因子的概念,对煤岩煤体结构进行宏观描述与定量表征,通过分析煤体结构表征值与各测井曲线间相关性,选取体积密度、自然伽马、井径、声波时差、电阻率曲线,利用多元回归分析方法,建立了煤体结构预测模型,并对取心煤体结构进行了验证,对柿庄北区块煤体结构进行单井分层划分,进而揭示其空间分布规律。结果表明:基于测井参数建立的煤体结构预测模型准确性较高,可供煤层气储层改造借鉴应用。

  • Abstract
    In order to make quantitative and accurate forecast of coal-body structure about its spatial distribution, making a macroscopic description and quantitativ e characterization on coal-body structure by introducing coal Geology Strength Index (GSI) concept, the relationship between quantitative characterization of coal-body structure and logging parameters were analyzed, based on coalbed methane well loggings and drilling data in northern Shizhuang Area of Qinshui Basin.Logging param eters were chosen, such as volume density, gamma, hole diameter, interval transit time, resistivity. Then the forecast model of coal-body structure was built by means of multi-factor regression analysis, and a contrast verification was made between prediction model and coring coal-body structure. Coal-body structure of single wells were divided and the spatial distribution law was announced in northern Shizhuang Area.The results showed that the forecast model of coal-body structure was reliable, base d on logging parameters.It could provide guidance for coalbed methane reservoir reconstruction.
  • 关键词

    测井参数煤体结构回归分析沁水盆地

  • KeyWords

    logging parameters; coal-body structure; regression analysis; Qinshui Basin;

  • 基金项目(Foundation)
    国家科技重大专项资助项目(2011ZX05042-003-001);高等学校博士学科点专项科研基金资助项目(20110023130001);
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