Application of Intelligent Identification Technology for Coal Mine Geological Structures in Downhole Directional Drilling

Architecture Engineering and Science 2026 Open access

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Authors: Ying He
DOI: 10.32629/aes.v6i4.4792
Cited by: 0

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.

Fields of Study & Subjects

Geoscience and Mining Technology Geomechanics and Mining Engineering Mining and Industrial Processes

Publication details

Journal / source
Architecture Engineering and Science
Volume
6
Issue
4
Pages
434–434
Publication date
27 January 2026
Language
EN