厚煤层综放开采顶板离层水发育特征及危险性评价

    Development characteristics and risk assessment of roof bed-separation water in thick coal seam fully mechanized mining

    • 摘要: 鄂尔多斯盆地安新煤田是我国重要的煤炭产区,白垩系志丹群含水层为砂砾岩互层,易形成离层,威胁工作面安全生产。以安新煤田某矿4506工作面为例,利用UDEC模拟覆岩破坏及运动,结合该区水文地质条件,分析了顶板离层的发育特征;总结了影响离层突水的六项特征,并运用熵权法提出离层突水危险性评价体系。研究结果表明:覆岩多处存在于形成离层的条件,仅第二含水层底部形成的离层规模较大,且存在补给水源和通道,对工作面影响较大;离层发育具有明显的周期特性,主离层于回采280 m处产生,400 m处完全闭合,随后工作面侧离层自下而上发育开始新的周期;从离层积水、开采扰动、隔水能力及构造四个角度提取了影响离层突水的六项指标,采用熵权法构建了顶板离层突水危险性评价方法,实践证明与现场有良好的一致性。该研究可为砂砾岩含水层离层突水危险性评价提供新思路,为离层水害防治提供数据支撑和指导,从而保障工作面安全高效生产。

       

      Abstract: The Anxin Coalfield of Ordos Basin is a vital coal production area in China, where the Cretaceous Zhidan Group aquifer—composed of sandstone-conglomerate interbeds—prone to bed-separation development, threatens safe mining operations. Taking the 4506 working face of a certain mine in Anxin Coalfield as an example, this paper employs Universal Distinct Element Code(UDEC) simulations to analyze overburden failure and bed-separation characteristics, integrating hydrogeological conditions. It contrasts bed-separation water hazards with conventional roof water hazards, identifying six key inrush-controlling factors, and establishes a risk assessment system using the entropy weight method. Key findings reveal: bed-separations form at multiple overburden levels, but only the basal separation in the second aquifer attains significant scale, featuring recharge sources and pathways that critically impact mining safety. Bed-separation evolution exhibits cyclic behavior: the primary separation initiates at 280 m advancement, fully closes by 400 m, followed by new bottom-up cycles on the working face side. Six risk indicators across four dimensions (water accumulation, mining disturbance, aquitard integrity, geological structures) are extracted to build an EWM-based risk assessment model, validated with strong field consistency. This research provides a novel methodology for evaluating bed-separation water risks in sandy conglomerate aquifers and offers data-driven guidance for hazard prevention, ensuring safe and efficient coal production.

       

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