瞬变电磁法在煤矿采空区水源分布探测中的应用研究

Application and Research of Transient Electromagnetic Method in Detecting Water Source Distribution in Coal Mine Goaf

  • 摘要: 针对寿阳潞阳祥升煤业三采区采空区积水隐患分布不清、传统探测手段分辨率不足等问题,基于电磁感应理论,应用瞬变电磁法开展大面积、高密度富水异常体识别研究,结合区域断层和陷落柱密集区的空间结构,布设覆盖2.16 km2的瞬变电磁测网,采用多通道同步采集系统获取4003组响应数据;通过指数衰减模型拟合与视电阻率反演,构建二维及主控层位切片图,实现了对含水异常体与采空区的空间精准定位,成功识别出5个主要低阻异常区,富水等级划分明确,其中I级区电阻率低于22 Ω·m;通过与井下涌水数据以及钻孔抽水试验成果对比,吻合率达到87.2%。研究验证了浅层干扰抑制技术的有效性,特别是在0~50 m浅层富水带的成像精度上,通过引入宽频域诱导场增强技术,浅层异常的识别率由68%提升至92%。研究结果为煤矿水害主动防控、井下采掘接替的水源预测及灾害评估提供了定量化支撑和空间判识依据。

     

    Abstract: Aiming at the problems of unclear distribution of water accumulation hidden dangers, insufficient resolution of traditional detection means and others in the goaf of third mining area in Shouyang Luyang Xiangsheng Coal Industry, based on electromagnetic induction theory, transient electromagnetic method is applied to carry out identification and research on large-scale, high-density water rich abnormal bodies, combined with the spatial structure of regional faults and collapse column dense areas, a transient electromagnetic survey network covering 2.16 km2 is set up, and a multi-channel synchronous acquisition system is adopted to obtain 4003 sets of response data; Through the exponential decay model fitting and apparent resistivity inversion, a two-dimensional and main control layer slice map is constructed to achieve spatial precise positioning of water bearing abnormal bodies and goafs, five main low resistance abnormal areas are successfully identified, the classification of water rich levels is clear, among them, the resistivity of level I area is lower than 22 Ω·m. By comparing with the downhole water inflow data and the result of drilling pumping tests, the anastomosis rate reaches 87.2%. The research verifies the effectiveness of shallow layer interference suppression technology, especially in the imaging accuracy of 0-50 m shallow layer water richness zones. By introducing wide frequency domain induced field enhancement technology, the anomaly recognition rate of shallow layers is increased from 68% to 92%. The research results provide quantitative support and spatial identification basis for proactive prevention and control of coal mine water damage, prediction of water sources for downhole mining and excavation replacement, and disaster evaluation.

     

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