Time: 2025-05-12 | Counts: |
WU X J, FENG G J, ZHU Y M.et al. Research on coal seam correlation and 3D geological modeling in the Dananhu No. 7 Coal Mine,Xinjiang[J]. Journal of Henan Polytechnic University (Natural Science), doi: 10.16186/j.cnki.1673-9787.2024120027.
Received:2024-12-12
Revised:2025-04-24
Online:2025-05-12
Research on coal seam correlation and 3D geological modeling in the Dananhu No. 7 Coal Mine,Xinjiang (Online)
WU Xiaojun1,2,3,FENG Guangjun3,4,ZHU Yanming3,4,CHEN Yingyun3,4,LIU Bianyu3,4,ZHONG Baoyuan3,4
(1.China Coal Tianjin Design Engineering Co.,Ltd.,Tianjing 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: Coal seam correlation and 3D geological modeling are essential foundations for optimizing engineering design and ensuring safe mining in coal mines. Coal seam correlation provides data support for geological modeling, while geological modeling offers an effective approach for the integration and visualizationof multi-source geological information. Objectives To clarify the characteristics of the coal seams in the Dananhu No. 7 Coal Mine in Xinjiang and achieve the visualization of multi-source geological information integration, we conducted a detailed investigation based on geological exploration and mining exposure data. Methods By integrating marker beds, seam spacing, coal quality parameters, logging curves and seismic profiles, a comprehensive approach was adopted for precise 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 attributes. Results The results show that the main coal seams in the study area are divided into No. 3, No. 5, No. 6, No. 7 and No. 10, with significant differences in their characteristics. Among them, No. 3, No. 7 and No. 10 coal seams are stable and mineable across the study area. Through detailed coal seam correlation, the complex interlayer relationships were clarified, resolving the challenges of spatial correlation in coal seam comparison and providing a robust data foundation for 3D geological modeling. The constructed 3D geological model accurately depicts the spatial distribution of coal seams and structural patterns, visually presenting the spatial relationships between roadway engineering layouts and mining activities. This model achieves the integrated visualization of multi-source geological information, overcoming the limitations of traditional 2D cross-section or planar interpretations. Conclusions This research provides geological support for the intelligent construction and safe mining in coal mines.
Key words:Coal seam correlation; geological modeling; 3D visualization; Xishanyao Formation; Dananhu No. 7 Coal Mine
CLC: TD325