Forecasting water disaster for a coal mine under the Xiaolangdi reservoir

Ya-jun SUN , Zhi-min XU , Qing-hong DONG , Sheng-dong LIU , Rong-bin GAO , Yu-hai JIANG
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引用次数: 24

Abstract

Xin'an coal mine, Henan Province, faces the risk of water inrush because 40% of the area of the coal mine is under the surface water of the Xiaolangdi reservoir. To forecast water disaster, an effective aquifuge and a limit of water infiltration were determined by rock-phase analysis and long term observations of surface water and groundwater. By field monitoring, as well as physical and numerical simulation experiments, we obtained data reflecting different heights of a water flow fractured zone (WFFZ) under different mining conditions, derived a formula to calculate this height and built a forecasting model with the aid of GIS. On the basis of these activities, the coal mine area was classified into three sub-areas with different potential of water inrush. In the end, our research results have been applied in and verified by industrial mining experiments at three working faces and we were able to present a successful example of coal mining under a large reservoir.

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小浪底水库下煤矿水害预测
河南省新安煤矿由于有40%的面积处于小浪底水库地表水以下,面临突水风险。为了预测水害,通过对地表水和地下水的长期观测和岩相分析,确定了有效含水层和水的入渗极限。通过现场监测以及物理和数值模拟实验,获得了不同开采条件下水流裂隙带不同高度的数据,推导出了水流裂隙带不同高度的计算公式,并借助GIS建立了预测模型。在此基础上,将矿区划分为3个不同突水潜力的分区。最后,我们的研究成果在三个工作面的工业开采试验中得到了应用和验证,为大型储层下采煤提供了成功的范例。
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