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首页> 外文期刊>Energy Exploration & Exploitation >Identification of the coal structure and prediction of the fracturability in the No. 8 coal reservoir, Gujiao block, China
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Identification of the coal structure and prediction of the fracturability in the No. 8 coal reservoir, Gujiao block, China

机译:古交街区8号煤层储层的煤性结构鉴定及可裂性预测

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摘要

Five boreholes were selected in the Gujiao block, Xishan, Taiyuan, China, as calibration wells to identify the coal structure. The geophysical-log responses of the coal structure in the No. 8 coal reservoir, Gujiao block, were investigated using coal-core logging combined with actual observations in the borehole profile of the coal mine. Natural gamma, density, apparent resistivity, and sonic travel time logs were extracted at 0.15m intervals from 41 undeformed coal, 29 cataclastic coal, and 48 granulated coal regions. Box plots and Fisher's maximum separation criterion were used to screen and identify sensitive log responses of the coal structure. The coal structure was identified in 31 boreholes using the available logs in the block, and the layered distribution patterns of the coal structure were discussed. The fracturability of the coal structure was divided into types using cluster analysis based on the thickness ratio of the coal structure and the relationship between the coal structure and its permeability. The results show that sensitive log responses for identifying undeformed coal and cataclastic coal are natural gamma, followed by density and apparent resistivity; log responses for identifying cataclastic coal and granulated coal-mylonitized coal are sonic travel time, apparent resistivity and natural gamma. The sensitive log response data were integrated and coal structure identification models were constructed based on the principle of amplifying the log responses to identify the coal structure in the No. 8 coal reservoir. The reservoir generally contains two or three dirt bands, and the coal structure is divided into several independent layers, with the cataclastic coal and granulated coal-mylonitized coal distributed in the middle of the reservoir. The coal structure was classified into four types and four subtypes through cluster analysis of the boreholes. Under the control of the Malan syncline, type I and type II are developed in the No. 8 coal reservoir in the southern part of the study area and in the east and north wings of the Malan syncline; they have good fracturability. Type III and type IV are mainly present in the No. 8 coal reservoir at the synclinal axis; they have poor fracturability. For type IV dominated by granulated coal, it is difficult to improve the reservoir permeability by fracturing; therefore, other strengthened permeability-improving measures should be considered.
机译:在中国太原市西山古交区块选择了五个钻孔作为标定井,以识别煤的结构。结合煤芯测井资料和煤矿井孔剖面的实际观测资料,研究了古交区块八号储层煤结构的地球物理测井响应。以0.15m的间隔从41个未变形煤,29个碎裂煤和48个颗粒煤区域中提取了自然伽马,密度,视电阻率和声波传播时间测井曲线。使用箱形图和费舍尔最大分离标准来筛选和识别煤结构的敏感测井响应。利用该区块现有的测井资料,在31个钻孔中确定了煤的结构,并讨论了煤结构的分层分布模式。根据煤结构的厚度比以及煤结构与其渗透率之间的关系,采用聚类分析,将煤结构的易碎性分为几种类型。结果表明,识别未变形煤和碎裂煤的敏感测井响应是自然伽马值,其次是密度和视电阻率。识别碎裂碎屑煤和粒状煤-髓质煤的对数响应为声波传播时间,视电阻率和自然伽马。结合敏感测井响应数据,根据放大测井响应的原理,建立了煤结构识别模型,以识别8号煤层的煤结构。储层通常包含两个或三个污垢带,煤的结构被分为几个独立的层,裂变煤和粒状煤-髓质煤分布在储层的中部。通过对井眼的聚类分析,将煤结构分为四类和四类。在马兰向斜线的控制下,研究区南部和马兰向斜线东,北翼的八号煤层中形成了I型和II型。它们具有良好的可破碎性。 III型和IV型主要存在于向斜轴的8号煤层中。它们的可碎性差。对于以粒状煤为主的Ⅳ型,难以通过压裂提高储层渗透率。因此,应考虑采取其他加强渗透性的措施。

著录项

  • 来源
    《Energy Exploration & Exploitation》 |2018年第2期|204-229|共26页
  • 作者单位

    China Univ Min & Technol, Minist Educ, Key Lab Coalbed Methane Resource & Reservoir Form, Xuzhou, Peoples R China;

    China Univ Min & Technol, Minist Educ, Key Lab Coalbed Methane Resource & Reservoir Form, Xuzhou, Peoples R China;

    China Univ Min & Technol, Minist Educ, Key Lab Coalbed Methane Resource & Reservoir Form, Xuzhou, Peoples R China;

    Hebei Univ Engn, Sch Earth Sci & Engn, Handan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Digital geophysical logging; coal structure; coal reservoir; Gujiao block;

    机译:数字地球物理测井;煤构造;储集层;古交区块;

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