连会青, 杨艺, 杨松霖, 唐忠义, 徐斌, 裴文贤, 王瑞, 李启兴. 基于微震监测技术的煤矿顶板水害预测[J]. 煤矿安全, 2023, 54(5): 49-55.
    引用本文: 连会青, 杨艺, 杨松霖, 唐忠义, 徐斌, 裴文贤, 王瑞, 李启兴. 基于微震监测技术的煤矿顶板水害预测[J]. 煤矿安全, 2023, 54(5): 49-55.
    LIAN Huiqing, YANG Yi, YANG Songlin, TANG Zhongyi, XU Bin, PEI Wenxian, WANG Rui, LI Qixing. Prediction of coal mine roof water damage based on micro-seismic monitoring technology[J]. Safety in Coal Mines, 2023, 54(5): 49-55.
    Citation: LIAN Huiqing, YANG Yi, YANG Songlin, TANG Zhongyi, XU Bin, PEI Wenxian, WANG Rui, LI Qixing. Prediction of coal mine roof water damage based on micro-seismic monitoring technology[J]. Safety in Coal Mines, 2023, 54(5): 49-55.

    基于微震监测技术的煤矿顶板水害预测

    Prediction of coal mine roof water damage based on micro-seismic monitoring technology

    • 摘要: 以亭南煤矿307工作面为工程背景,通过模拟分析导水断裂隙带高度来验证微震监测数据实时监测导水断裂带高度的可靠性,并利用数理统计方法分析了微震事件与顶板涌水量的关系。研究结果表明:307工作面在不同推进距离条件下,微震事件集中分布于覆岩破坏严重区,能够反映覆岩破坏情况及导水裂隙带发育高度;工作面回采数值模拟结果与微震监测事件变化规律基本一致,导水裂隙带高度发育特点为“前期增长快,中期增长慢,后期达到平衡”;307工作面微震监测数据事件数与同时间段内的涌水量相关性显著,涌水事件和微震事件的发生具有特定的滞后效应,采用合适的滞后微震数据做预测能更好地提高涌水量预测准确度。

       

      Abstract: Taking 307 working face of Tingnan Coal Mine as the engineering background, in order to verify the reliability of real-time monitoring of water flowing fractured zone height by micro-seismic monitoring data, the mechanical numerical simulation software is used. In order to analyze the relationship between micro-seismic events and roof water inflow, the mathematical statistics method is used to establish the correlation between them. The results show that the micro-seismic events in 307 working face are concentrated in the areas with serious overburden damage under different driving distances, which can reflect the overburden damage and the development height of the water conducting fracture zone; the numerical simulation results of working face mining are basically consistent with the change rules of micro-seismic monitoring events. The highly developed water conducting fracture zone is characterized by “rapid growth in the early stage, slow growth in the middle stage, and balance in the later stage”. The number of micro-seismic monitoring data events in 307 working face has a significant correlation with the water inflow in the same time period. The occurrence of water inflow events and micro-seismic events has a specific lag effect, and the accuracy of water inflow prediction can be better improved by using appropriate lag micro-seismic data for prediction.

       

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