Analysis on the R&D trend of intelligent lithology (mineralization) identification technology for small bore drilling machines

Yuan Yao; Yan Li; Qinghua Yan; Haoran Wu; Jie Zheng; Chun Cheng

doi:10.1117/12.3057667

28 January 2025 Analysis on the R&D trend of intelligent lithology (mineralization) identification technology for small bore drilling machines

Yuan Yao, Yan Li, Qinghua Yan, Haoran Wu, Jie Zheng, Chun Cheng

Author Affiliations +

Proceedings Volume 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024); 135061P (2025) https://doi.org/10.1117/12.3057667
Event: Sixth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2024), 2024, Qingdao, China

Abstract

Small-diameter drilling machines are important equipment for geological explorations. With the development of artificial intelligence and Internet of Things (IoT), future small-diameter drilling machines will have a higher level of intelligence to improve work efficiency and safety. Lithology (mineralization) identification technology is one of the key challenges in implementing the intelligent system for small diameter drilling machines. Through the investigation on the international patent layout and R&D trends, domestic R&D progress and application status, this paper analyzes the domestic R&D foundation, examines the status quo of the applicable core (mineralization) identification technologies and the development trend of intelligent core identification technology. This paper also compares and selects applicable lithology (mineralization) identification technologies, comprehensively analyzes the difficulties and bottlenecks in realizing the intelligent lithology (mineralization) identification technology for small diameter drilling machines, and puts forward three working suggestions with the hope of providing theoretical support and technical references.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuan Yao, Yan Li, Qinghua Yan, Haoran Wu, Jie Zheng, and Chun Cheng "Analysis on the R&D trend of intelligent lithology (mineralization) identification technology for small bore drilling machines", Proc. SPIE 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), 135061P (28 January 2025); https://doi.org/10.1117/12.3057667

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