Zhang Yugeng, Zhang Heng, Lian Hongwei, He Zhilong, Cao Wenhao, Shao Caijun, Wei Junqi
College of Earth Sciences, Guilin University of Technology, Guilin, 541006, Guangxi, People's Republic of China.
School of Civil Engineering, Nanyang Institute of Technology, Nanyang, 473004, Henan, People's Republic of China.
Sci Rep. 2025 Jul 8;15(1):24519. doi: 10.1038/s41598-025-10025-x.
The stability of flooded coal pillars has long been a challenging issue in coal pillar research, especially during the recovery of production after water inrush disasters. Due to the harsh on-site conditions, it is difficult to directly collect samples for analysis, which brings numerous challenges in both design and production. Based on the engineering background of the 1314 working face of Xiaoyun Coal Mine, this paper proposes a clustering optimization algorithm and successfully uses microseismic data collected on-site to identify the boundary of the flooded coal pillar, validating the results through simulation comparisons. The study found that the flooded state within the coal pillar can be classified into saturated flooded zones, unsaturated flooded zones, and dry zones. The characteristics of the flooded coal pillar during the early stage of mining are more complex, with irregular variations in the flood boundary and local phenomena of sudden changes. Through the analysis of stress and delamination data, the primary controlling factors of this phenomenon are identified and the causes are explained. The research not only demonstrates the feasibility of using microseismic data to identify the flooding status of coal pillars but also provides valuable insights for analyzing the flooded state of coal pillars during the recovery of production after water inrush incidents. This study, particularly regarding coal pillar monitoring and safety control, presents new challenges.
长期以来，水淹煤柱的稳定性一直是煤柱研究中的一个具有挑战性的问题，尤其是在突水灾害后的生产恢复期间。由于现场条件恶劣，难以直接采集样本进行分析，这给设计和生产都带来了诸多挑战。基于小云煤矿1314工作面的工程背景，本文提出了一种聚类优化算法，并成功利用现场采集的微震数据识别水淹煤柱的边界，通过模拟对比验证了结果。研究发现，煤柱内的水淹状态可分为饱和水淹区、非饱和水淹区和干燥区。开采初期水淹煤柱的特征较为复杂，水淹边界变化不规则且存在局部突变现象。通过对应力和分层数据的分析，确定了这一现象的主要控制因素并解释了其成因。该研究不仅证明了利用微震数据识别煤柱水淹状态的可行性，还为分析突水事故后生产恢复期间煤柱的水淹状态提供了有价值的见解。这项研究，特别是在煤柱监测和安全控制方面，提出了新的挑战。
