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<p>The geological conditions of North China-type coalfields are complex, where tectonic cutting of coal seam floors creates numerous water-conducting channels. Moreover, the exploration and identification of water-conducting channels has always been a key challenge in water hazard prevention and control. Based on the ground multi-branch directional drilling for advanced geological exploration, a novel water-conducting channels identification framework that synergistically integrates process analysis with fuzzy comprehensive evaluation has been constructed. Firstly, during advanced geological exploration, drilling time logging, drilling fluid consumption, γ logging, rock debris logging, water pressure test, and injectability were selected as evaluation indicators for identifying water-conducting channels, and they were respectively quantified as average drilling rate, drilling fluid consumption, γ value, non-limestone proportion, unit injection volume, and grouting volume. Subsequently, the over-standard weighting method was employed to determine the weights of the indicators, and based on fuzzy theory and the maximum membership principle, a three-tier quantitative assessment was conducted to evaluate the water-conducting potential of the sampling points. Finally, the fuzzy comprehensive evaluation was applied to assess the water conductivity of 10 locations in the 17051 working face of Guhanshan Mine. The results revealed high water-conducting potential at 8 locations and low risk at 2 locations. Building on these findings, the specific location of a water-conducting channel was successfully pinpointed through engineering validation. The spatial consistency between this identified channel and the water inrush risk zoning map generated by the vulnerability index method confirmed the practicality and scientific validity of the advanced detection and evaluation technology. In summary, this technology establishes a dual-phase identification framework integrating quantitative classification with systematic evaluation, achieving a great improvement in recognition accuracy for water-conducting channels within coal seam floor formations compared to conventional methods.</p>

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Advanced Exploration and Identification Technology for Water-Conducting Channels Based on Ground Multi-Branch Directional Drilling

  • 期刊论文

  • 发表日期：

    2026年2月20日

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  • Jianlin Li,
  • Weike Nie,
  • Xingwen Hu,
  • Xinyi Wang,
  • Yang Xue,
  • Tianen Qiu,
  • Qianqian Shi

摘要

The geological conditions of North China-type coalfields are complex, where tectonic cutting of coal seam floors creates numerous water-conducting channels. Moreover, the exploration and identification of water-conducting channels has always been a key challenge in water hazard prevention and control. Based on the ground multi-branch directional drilling for advanced geological exploration, a novel water-conducting channels identification framework that synergistically integrates process analysis with fuzzy comprehensive evaluation has been constructed. Firstly, during advanced geological exploration, drilling time logging, drilling fluid consumption, γ logging, rock debris logging, water pressure test, and injectability were selected as evaluation indicators for identifying water-conducting channels, and they were respectively quantified as average drilling rate, drilling fluid consumption, γ value, non-limestone proportion, unit injection volume, and grouting volume. Subsequently, the over-standard weighting method was employed to determine the weights of the indicators, and based on fuzzy theory and the maximum membership principle, a three-tier quantitative assessment was conducted to evaluate the water-conducting potential of the sampling points. Finally, the fuzzy comprehensive evaluation was applied to assess the water conductivity of 10 locations in the 17051 working face of Guhanshan Mine. The results revealed high water-conducting potential at 8 locations and low risk at 2 locations. Building on these findings, the specific location of a water-conducting channel was successfully pinpointed through engineering validation. The spatial consistency between this identified channel and the water inrush risk zoning map generated by the vulnerability index method confirmed the practicality and scientific validity of the advanced detection and evaluation technology. In summary, this technology establishes a dual-phase identification framework integrating quantitative classification with systematic evaluation, achieving a great improvement in recognition accuracy for water-conducting channels within coal seam floor formations compared to conventional methods.