Application of Intelligent Identification Technology for Coal Mine Geological Structures in Downhole Directional Drilling
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i4.4792
Abstract
This paper explores the application of deep learning and multi-source data fusion technology in intelligent identification of geological structures. By constructing a real-time perception and decision-making system, it effectively enhances the precision and safety of underground directional drilling, providing reliable technical support for drilling path optimization and water hazard prevention in complex coal seam environments.
Keywords
coal mine geological structure, intelligent recognition, underground directional drilling
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[2] Chen Tao, Zhang Youzhen, Xu Chao. Research and Application of Intelligent Recognition Algorithm for Drilling Conditions in Coal Mine Shafts [J]. Journal of Coal Mine Safety, 2025, 56(03): 242-249.
[3] Mu Di. Research on the Supervision and Management Mode of Underground Operations Driven by Big Data and Artificial Intelligence [J]. Petroleum Industry Technology Supervision, 2025, 41(10): 13-17.
[4] Lin Zhihao. Research on Intelligent Recognition Method and Application of Foreign Objects on Coal Mine Conveyor Belts Based on Deep Learning [D]. Xi'an Shiyou University, 2025.
[5] Wang Jianjun. Research and Application of Intelligent Recognition and Control Technology for Underground Belt Conveyor Transportation [J]. Energy and Energy Conservation, 2025, (02): 307-310.
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