Full-process automated drilling technology for gas drainage boreholes in underground coal mines
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CCTEG Xi’an Research Institute (Group) Co., Ltd., Xi’an Shaanxi 710077, China

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TD712+.6;P634

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    Abstract:

    The construction of gas drainage boreholes in underground coal mines currently faces challenges such as low automation, poor process controllability, high safety risks, high labor intensity, and low production efficiency. Automation and intelligence represent the core development direction for safety in coal mine production. Driven by the industry’s requirements for reducing personnel, increasing efficiency, enhancing safety, and lowering costs in gas drainage operations, this study investigates the technology of full-process, multi-machine collaborative automated drilling for conventional boreholes. The research team conducted an in-depth analysis of the functional requirements of core processes, including drilling construction, cuttings removal, screen pipe installation, and pressurized grouting. Based on this analysis, a complete automated construction model and technical solution were proposed. This solution aims to guide on-site operations, enabling the sequential and linear automated execution of each process with a limited personnel configuration, thereby significantly reducing the number of operators, lowering labor intensity, and upgrading the intelligent monitoring system for the entire process. By establishing and implementing standardized operational procedures and specifications, this technology has successfully replaced traditional operational models. Preliminary field trials have verified its effectiveness, demonstrating significant achievements in personnel reduction and reduction in labor intensity. However, for broader application and promotion, continuous improvement is still required to further enhance key performance indicators of the integrated equipment system, such as reliability, stability, and drilling efficiency.

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History
  • Received:May 21,2025
  • Revised:July 31,2025
  • Adopted:August 04,2025
  • Online: November 20,2025
  • Published:
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