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矿井采空区积水网络并行电法探测技术

Technology of Network Parallel Electric Method Applied to Detection of Water Ponding in Mining Goaf

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【作者】 吴超凡刘盛东邱占林杨胜伦

【Author】 WU Chao-fan1,2,LIU Sheng-dong2,QIU Zhan-lin1,YANG Sheng-lun3(1.School of Resource Engineering,Longyan University,Longyan 364012,China; 2.National Key Lab of Deep Geomechanics and Underground Engineering,China University of Mining and Technology,Xuzhou 221008,China; 3.Anhui Huizhou Research and Design Institute of Underground Disaster,Hefei 230088,China)

【机构】 龙岩学院资源工程系中国矿业大学深部岩土力学与地下工程国家重点实验室安徽惠洲地下灾害研究设计院

【摘要】 随着煤矿开采深度的增加,采空区积水成为影响煤炭安全生产的重大隐患,其积水区边界的划定是有效防治采空区突水的关键。在建立采空区积水区边界模型基础上,运用网络并行电法探测技术对7130工作面采空区放水前及放水过程进行连续动态监测,获取含水异常体与渗流场、地电场之间的响应特征,以此建立积水区边界与视电阻率之间变化关系,可圈定矿井采空区积水范围。结果表明:有效富水系数为0.1226的积水区边界与网络并行电法探测技术测量得到的电阻率参数所划定的积水区边界具有很好的一致性,且可在动态监测中形成不同时段的电阻率剖面。

【Abstract】 With the mining depth increased in the mine,the water ponding in the mining goaf would be major hidden danger affected to the mine coal safety production and the delineation of the water ponding boundary would be the key to effectively prevent and control the water inrush from the goaf.Based on establishment on the boundary model of water ponding,the network parallel electric method was applied to the continued dynamic monitoring and measuring the goaf in mining face No7130 before the water drainage and during the water drainage process.Response features of water bearing anomalous body between the seepage field and the geoelectric field were obtained and were applied to establish the variation relationship between the water ponding boundary and the resistivity in order to delineate and analyze the water ponding scope in the goaf of the mine.The results showed that the water ponding boundary with an effective watery coefficient of 0.122 6 and the water ponding boundary delineated with resistivity parameters measured by the network parallel electric method would have a good consistency and would format the resistivity section at different stage during the dynamic monitoring and measuring.

【基金】 “十二五”国家科技支撑计划资助项目(2011BAK07B02);福建省自然科学基金资助项目(2010J01262);龙岩市科技计划资助项目(2011LY53)
  • 【文献出处】 煤炭科学技术 ,Coal Science and Technology , 编辑部邮箱 ,2013年04期
  • 【分类号】TD745;P631.3
  • 【被引频次】10
  • 【下载频次】376
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