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<p>As shallow coal resources deplete, coal mines are rapidly shifting to deep mining, and coal‒rock‒gas composite dynamic disasters are inevitable. However, the triggering mechanism, monitoring, early warning, and prevention technologies for these disasters need exploration and improvement. This paper reviews the latest research on these aspects of coal‒rock‒gas composite dynamic disasters. Three major triggering modes are proposed: rock burst induction, coal and gas outburst induction, and multifactor coupling induction. Based on the concept of structural control disaster prevention, disasters are categorized into three types: geological structure induced, coal–rock structure induced, and gas reservoir structure induced. Then, the triggering mechanism of each type is described in detail. In terms of monitoring and early warning, a systematic summary of international advanced techniques is discussed. An energy evaluation standard that integrates macro and micro aspects is presented, and an energy identification standard that is based on thermodynamic principles is proposed for the first time. A comprehensive monitoring and early warning model and system is established, which features full spatiotemporal, multiscale, and multiparameter coupling. In terms of prevention and control, existing approaches are carefully considered. A multifunctional hierarchical continuous control framework for boreholes is proposed for the first time. This framework integrates drilling, pressure relief, extraction, cavitation for energy absorption, and grouting functions, which can achieve structural adjustment, stress release, gas energy dissipation, and optimal control. Finally, it predicts the advanced development trends and research directions of international composite disasters and proposes five key scientific problems for further investigation.</p>

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Research Progress and Perspectives on Prevention and Control Technologies for Coal‒Rock‒Gas Composite Dynamic Disasters: New Types of Induced Classifications, Discriminant Criteria, and Structural Control Schemes

  • 期刊论文

  • 发表日期：

    2025年6月9日

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  • Junwen Zhang,
  • Xuyang Bai,
  • Zhixiang Song,
  • Yang Zhang,
  • Xukai Dong,
  • Shaokang Wu,
  • Chaorui Xing,
  • Xian Li,
  • Weizheng Xu,
  • Suilin Zhang

摘要

As shallow coal resources deplete, coal mines are rapidly shifting to deep mining, and coal‒rock‒gas composite dynamic disasters are inevitable. However, the triggering mechanism, monitoring, early warning, and prevention technologies for these disasters need exploration and improvement. This paper reviews the latest research on these aspects of coal‒rock‒gas composite dynamic disasters. Three major triggering modes are proposed: rock burst induction, coal and gas outburst induction, and multifactor coupling induction. Based on the concept of structural control disaster prevention, disasters are categorized into three types: geological structure induced, coal–rock structure induced, and gas reservoir structure induced. Then, the triggering mechanism of each type is described in detail. In terms of monitoring and early warning, a systematic summary of international advanced techniques is discussed. An energy evaluation standard that integrates macro and micro aspects is presented, and an energy identification standard that is based on thermodynamic principles is proposed for the first time. A comprehensive monitoring and early warning model and system is established, which features full spatiotemporal, multiscale, and multiparameter coupling. In terms of prevention and control, existing approaches are carefully considered. A multifunctional hierarchical continuous control framework for boreholes is proposed for the first time. This framework integrates drilling, pressure relief, extraction, cavitation for energy absorption, and grouting functions, which can achieve structural adjustment, stress release, gas energy dissipation, and optimal control. Finally, it predicts the advanced development trends and research directions of international composite disasters and proposes five key scientific problems for further investigation.