浅埋薄基岩煤层过沟开采溃水危险性预测

Risk prediction of surface-water bursting in the gully-crossing mining section of shallow coal seams within thin bedrock zones

  • 摘要:
    目的 浅埋薄基岩条件下煤层的过沟开采活动易导致覆岩导水裂隙带与地表水体连通,显著增加矿井突水、溃水等水害风险。陕西山东煤矿部分工作面分布于沙界沟流域下方,地表暴雨径流极易通过采动裂隙通道溃入井下,威胁矿井安全运行,急需开展溃水危险性识别与评价研究。
    方法 以山东煤矿3煤层及其过沟开采工作面为研究对象,综合实测采高与钻孔揭示资料,绘制3煤层导水裂隙带发育高度等值线图;并将导水裂隙带高度与煤层埋深的差值作为判据,划分高危险区、一般危险区与安全区。在此基础上,结合地表采动裂隙结构特征与沟道暴雨径流过程,构建地表采动裂隙溃水量预测模型,模拟评估3108、3109工作面在5、10及20 a一遇暴雨条件下的地表采动裂隙溃水量,并叠加垮裂安全性等级,构建双因子6级溃水危险性分级体系。为提升其工程适用性,提出简化的3级溃水危险性划分方案,开展工作面危险性再识别。
    结果 研究确定−20 m为3煤层埋深与导水裂隙带高度差的最优临界值,能够有效识别沙界沟下方及周边区域的高溃水危险区。模型预测结果显示,在不同重现期条件下,3109工作面的溃水量始终高于3108工作面,最大值达0.335 m3/s(1205.169 m3/h)。依据6级溃水危险性分级体系,3109工作面分别划分为极高(20、10 a一遇)和高(5 a一遇)危险区,3108工作面则为高、中、中危险区;而在简化的3级溃水危险性划分标准下,两工作面在各暴雨重现期条件下均为高危险区。
    结论 基于地表采动裂隙结构与沟道暴雨径流过程,建立了适用于浅埋薄基岩煤层过沟开采条件下的地表采动裂隙溃水量预测模型,并构建融合溃水量等级与垮裂安全性分区的溃水危险性综合评价体系。研究结果可为类似地质条件下工作面溃水风险识别与治理设计提供理论支撑和工程依据,具有重要的工程实用价值。

     

    Abstract:
    Background The gully-crossing mining of shallow coal seams within thin bedrock zones is prone to connecting hydraulically conductive fracture zones in the overburden with surface water bodies, significantly increasing the risk of water disasters, such as water inrushes and surface-water bursting in mines. Some mining faces in the Shandong Coal Mine, Shaanxi Province are located beneath the Shajie Gully basin, where storm runoff is highly likely to flow into the underground mine through mining-induced fractures, posing a serious threat to mine safety. Therefore, there is an urgent need to research risk identification and assessment of surface-water bursting.
    Methods This study investigated the No. 3 coal seam and its gully-crossing mining faces in the Shandong Coal Mine. Based on measured mining heights and borehole data, this study plotted the contour map showing the heights of the hydraulically conductive fracture zone in the No. 3 coal seam. Using the differences between the heights of the hydraulically conductive fracture zone and the burial depths of the coal seam as a critical criterion, this study divided the coal seam into high-risk, moderate-risk, and safe zones. In combination with the structural characteristics of surface mining-induced fractures and the storm runoff process in the gully, this study constructed a prediction model of the flow rates of surface-water bursting via mining-induced fractures. Using this model, this study simulated and assessed the flow rates of surface-water bursting along mining faces 3108 and 3109 under storm rainfall with 5-, 10-, and 20-year recurrence intervals. By integrating the classified flow rates of surface-water bursting with the classified caving-fracture safety, this study established a dual-factor six-level surface-water bursting risk classification system. To improve the engineering applicability of the classification system, a simplified three-level risk classification scheme was proposed to re-identify the risk levels of the mining face.
    Results The optimal threshold for the difference between the burial depth of the No.3 Coal Seam and the heights of the hydraulically conductive fracture zone is −20 m, allowing an effective identification of high-risk zones of surface-water bursting beneath and around the Shajie Gully. The prediction results of the model indicate that under different recurrence intervals of storms, mining face 3109 exhibited consistently higher flow rates of surface-water bursting compared to mining face 3108, reaching a maximum of 0.335 m3/s (1205.169 m3/h). According to the six-level risk classification system, mining face 3109 was divided into extremely high-risk (20- and 10-year recurrence intervals) and high-risk (5-year recurrence interval) zones, while mining face 3108 was divided into high-risk (20-year recurrence interval) and moderate-risk (10- and 5-year recurrence intervals) zones. Under the simplified three-level risk classification scheme, mining faces 3109 and 3108 were classified as high-risk zones across all recurrence intervals of storms.
    Conclusions By integrating surface mining-induced fracture structures with the storm runoff process in the gully, this study constructed a prediction model of the flow rate of surface-water bursting via mining-induced fractures in the gully-crossing mining section of shallow coal seams within thin bedrock zones. Moreover, this study established a comprehensive risk assessment system combining the levels of flow rates of surface-water bursting with the caving-fracture safety zones. The results of this study will provide theoretical support and an engineering reference for the identification and control of surface-water bursting risks along mining faces under similar geological conditions, holding great practical value.

     

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