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Wu X J, Feng G J, Zhu Y M, et al.Coal seam correlation and 3D geological modeling of the Dananhu No. 7 Coal Mine， Xinjiang[J].Journal of Henan Polytechnic University(Natural Science) ,2026,45(6):72-79.

新疆大南湖七号煤矿煤层对比及三维地质建模研究

吴晓军1,2,3, 冯光俊3,4, 朱炎铭3,4, 陈映赟3,4, 刘卞禹3,4, 钟宝元3,4

1.中煤天津设计工程有限责任公司，天津  300120；2.国投哈密能源开发有限责任公司，新疆 哈密  839000；3.中国矿业大学 煤层气资源与成藏过程教育部重点实验室，江苏 徐州  221116；4.中国矿业大学 资源与地球科学学院，江苏 徐州  221116

摘要: 目的 为厘清新疆大南湖七号煤矿主采煤层发育特征，实现多源地质信息融合可视化表达，进行新疆大南湖七号煤矿煤层对比及三维地质建模研究。  方法 基于地质勘探与采掘揭露资料，采用标志层、煤层间距、煤质参数、测井曲线和地震剖面等方法协同开展煤层精细对比研究。结合钻孔数据、煤层对比成果和矿井工程设计资料，采用深探地学建模软件构建煤矿地层-构造-采掘巷道三维地质模型，进一步将多源地质属性信息进行三维可视化融合。  结果 结果表明：研究区主采煤层自上而下划分为3，5，6，7，10煤层，各煤层特征差异显著，其中3煤、7煤和10煤发育稳定，为全区可采煤层。通过煤层精细对比，厘定了各煤层间的复杂层组关系，解决了煤层对比空间关联性难题，为三维地质建模提供了数据基础。构建的三维地质模型准确刻画了主采煤层空间展布特征和构造发育规律，直观展示了巷道工程布设与采掘空间位置关系，实现了矿井多源地质信息的融合可视化表达，突破了传统二维剖面或平面解译的局限性。  结论 研究结果可为矿井智能化建设与安全开采提供地质决策依据。

关键词:煤层对比;地质建模;三维可视化;西山窑组;大南湖七号煤矿

doi:10.16186/j.cnki.1673-9787.2024120027

基金项目:国家自然科学基金资助项目（42072199）

收稿日期:2024/12/12

修回日期:2025/04/24

出版日期:2026/10/09

Coal seam correlation and 3D geological modeling of the Dananhu No. 7 Coal Mine， Xinjiang

Wu Xiaojun1,2,3, Feng Guangjun3,4, Zhu Yanming3,4, Chen Yingyun3,4, Liu Bianyu3,4, Zhong Baoyuan3,4

1.China National Coal Tianjin Design Engineering Co.， Ltd.， Tianjin  300120， China；2.SDIC Hami Energy Development Co.， Ltd.， Hami  839000， Xinjiang， China；3.Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process， Ministry of Education （China University of Mining and Technology）， Xuzhou  221116， Jiangsu， China；4.School of Resources and Geosciences， China University of Mining and Technology， Xuzhou  221116， Jiangsu， China

Abstract: Objectives To clarify the characteristics of the main coal seams in the Dananhu No. 7 Coal Mine， Xinjiang， and achieve the visualization of multi-source geological information integration， a study on coal seam correlation and 3D geological modeling was carried out. Methods Based on geological exploration and mining exposure data， a comprehensive approach integrating marker beds， seam spacing， coal quality parameters， logging curves， and seismic profiles was adopted for detailed coal seam correlation. Using borehole data， coal seam correlation results， and mine engineering design data， the Deep Exploration Geoscience Modeling software was employed to construct a 3D geological model of the strata， structures， and excavation roadways， further enabling the 3D visualization and integration of multi-source geological attribute information. Results The results show that the main coal seams in the study area are divided into Nos. 3， 5， 6， 7， and 10 from top to bottom， with significant differences in their characteristics. Among them， Nos. 3， 7， and 10 are stable and mineable throughout the study area. Through detailed coal seam correlation， the complex interlayer relationships among the coal seams were clarified， resolving the challenges of spatial correlation and providing a data foundation for 3D geological modeling. The constructed 3D geological model accurately depicts the spatial distribution of main coal seams and structural patterns， visually presenting the spatial relationships between roadway engineering layouts and mining activities. The model achieves the integrated visualization of multi-source geological information， overcoming the limitations of traditional 2D cross-section or planar interpretations.  Conclusions The results can provide geological decision-making support for intelligent construction and safe mining of the mine.

Key words: Coal seam correlation; geological modeling;3D visualization; Xishanyao Formation; Dananhu No. 7 Coal Mine