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Risk assessment of fault water inrush during deep mining

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With the gradual depletion of shallow coal resources,the Yanzhou mine in China will enter the lower coal seam mining phase.However,as mining depth increases,lower coal seam mining in Yanzhou is threat-ened by water inrush in the Benxi Formation limestone and Ordovician limestone.The existing prediction models for the water burst at the bottom of the coal seam are less accurate than expected owing to var-ious controlling factors and their intrinsic links.By analyzing the hydrogeological exploration data of the Baodian lower seam and combining the results of the water inrush coefficient method and the Yanzhou mine pressure seepage test,an evaluation model of the seepage barrier capacity of the fault was estab-lished.The evaluation results show the water of the underlying limestone aquifer in the Baodian mine area mainly threatens the lower coal mining through the fault fracture zone.The security of mining above confined aquifer in the Baodian mine area gradually decreases from southwest to northeast.By compar-ing the water inrush coefficient method and the evaluation model of fault impermeability,the results show the evaluation model based on seepage barrier conditions is closer to the actual situation when analyzing the water breakout situation at the working face.

Lower coal seamMining above confined aquiferWater inrush coefficientWater injection testImpermeability strengthWater-inrush in fault

Zhaodan Cao、Qixiong Gu、Zhen Huang、Jiaju Fu

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College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China

ZJU-UIUC Institute,Zhejiang University,Haining 314400,China

School of Resources and Environment Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China

Guiyang Architectural Design and Surveying Prospecting CO.LTD,Guiyang 550082,China

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financial support from the National Natural Science Foundation of ChinaJiangxi Provincial Natural Science FoundationInnovative Experts,Long-term Program of Jiangxi ProvinceProgram of Qingjiang Excellent Young Talents,Jiangxi University of Science and Technology,and the Innovation Fund Designated

4170232620202ACB214006jxsq2018106049YC2020-S451

2022

矿业科学技术学报(英文版)
中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCDSCIEI
影响因子：1.222
ISSN：2095-2686
年,卷(期)：2022.32(2)
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