• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于MapGIS的大佛寺井田煤层气资源有利区预测
  • Title

    Prediction on favorable areas of CBM resources based on MapGIS in Dafosi Minefield

  • 作者

    王鹏 李图南

  • Author

    WANG Peng,LI Tunan

  • 单位

    陕西省土地工程建设集团陕西地建土地勘测规划设计院有限责任公司

  • Organization
    Shaanxi Land Construction Surveying, Planning and Design Institute Co., Ltd., Shaanxi Land Construction Group, Xi’an , China
  • 摘要

    大佛寺井田位于彬长矿区的南部,根据勘查钻孔显示煤层含气量低,但煤层厚度较大,煤层气资源量丰富,具有很高的开采利用价值。为了弄清该井田煤层气储藏特征,合理指导有效开采,以大佛寺井田4煤为例,通过对各地质因素与参数井含气量进行相关度分析,确定了影响4煤含气量的几个主控因素,然后依据模糊综合评价的思想建立评判体系,最后在MapGIS平台下实现数据的处理与叠加分析,完成对大佛寺井田4号煤层煤层气资源有利区的预测。研究结果表明:影响大佛寺井田4号煤层含气量的主控因素为:煤层厚度、埋深、变质程度及上下部延安组泥岩厚度,煤层气储藏最有利区、有利区、较有利区、不利区和最不利区分别占井田面积的8%、30%、40%、17%和5%。

  • Abstract
    Dafosi Minefield is located in the southern part of Binchang Mines. According to the exploration drilling,the gas content of the coal seam is low, however, the coal seam is thicker with rich CBM resources, which has high mining and utilization value. In order to clarify the storage characteristics of CBM reservoir in minefield and reasonable guidance for effective mining, taking the No.4 coal seam of Dafosi Minefield as an example, by analyzing the correlation between the local quality factors and the gas content of parameter wells, the gas content affecting the No. 4 coal seam is determined. Then based on the idea of fuzzy comprehensive evaluation of the evaluation system was established. Finally, data processing and overlay analysis are achieved under the MapGIS platform and the prediction of the favorable coalbed methane resources in the No.4 coal seam of Dafosi Minefield is completed. The research results show that the main controlling factors affecting the gas content of No.4 coal seam in Dafosi Minefield are: coal seam thickness, buried depth, degenerative degree and thickness of mudstone in upper and lower Yan'an Formation. The most favorable areas, favorable areas, more favorable areas, unfavorable areas and the most unfavorable areas for coalbed methane storage accounted for 8%, 30%, 40%, 17%, and 5% of the minefield, respectively.
  • 关键词

    煤层气模糊综合评判MapGIS叠加分析

  • KeyWords

    CBM; Fuzzy comprehensive evaluation; MapGIS; overlay analysis

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