journal article·2026-06-17Open access

Integrated Borehole Interpretation and BIM-Based Three-Dimensional Geological Modeling for Gas Control in Underground Coal Mining

Yuantian Sun, Md Habibullah, Arifuggaman Arif, Shang Wang, Md. Sadickuzzaman, Feiyu Zhang

Applied Sciences· Volume 16· Issue 12

Abstract

Accurate characterization of underground geological conditions is essential for gas control, geological hazard assessment, and safe coal mining operations. However, conventional geological interpretation methods often suffer from limited spatial accuracy due to borehole deviation, sparse geological control, and insufficient integration of multi-source borehole data. To address these limitations, this study proposes an integrated geological characterization framework combining resistivity-based image logging, borehole trajectory correction, and BIM-based three-dimensional geological modeling using 135 gas extraction boreholes from the Coal Seam 15-21050 working face of Pingdingshan No. 8 Coal Mine, China. Multi-parameter logging data, including natural gamma, apparent resistivity, natural potential, and borehole image observations, were used to identify coal seam lithology, stratigraphic interfaces, and structural characteristics. Borehole trajectory analysis revealed systematic deviation patterns controlled by borehole inclination, lithological heterogeneity, and drilling conditions, highlighting the necessity of trajectory correction for accurate spatial positioning. Trajectory-corrected borehole coordinates were subsequently integrated into a BIM-based three-dimensional geological reconstruction workflow using spatial interpolation methods. The resulting model successfully reproduced coal seam geometry, interburden distribution, and localized concealed structural anomalies. Coal Seam 15 exhibited thicknesses ranging from 2.69 to 3.47 m, while Coal Seam 16–17 ranged from 1.51 to 2.38 m. The proposed workflow improved the reliability of geological interpretation and the accuracy of spatial characterization, providing an effective technical basis for gas drainage optimization, geological hazard assessment, and intelligent underground coal mining.
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Research context

OpenAlex topics: Coal Properties and Utilization · Rock Mechanics and Modeling · Geophysical and Geoelectrical Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mines, China University of Mining and Technology, Xuzhou 221116, China

Department of Petroleum and Mining Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh

Funding

National Natural Science Foundation of China · Xuzhou Science and Technology Plan Project

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