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作 者:邱占林[1,2] 曾东富 吴超凡 郭玉森[1] 刘鑫尧[4] 孙轶群[4] 黄俊南[1] QIU Zhanlin;ZENG Dongf;WU Chaofan;GUO Yusen;LIU Xinyao;SUN Yiqun;HUANG Junnan(School of Resource Engineering,Longyan University,Longyan 364012,China;School of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China;Fujian Zijin Copper Co.,Ltd.,Longyan 364204,China;The 197 Geological Prospecting Team of Fujian Province,Quanzhou 362018,China)
机构地区:[1]龙岩学院资源工程学院,福建龙岩364012 [2]福建师范大学地理科学学院,福建福州350007 [3]福建紫金铜业有限公司,福建龙岩364204 [4]福建省197地质大队,福建泉州362018
出 处:《煤矿安全》2022年第12期167-173,共7页Safety in Coal Mines
基 金:福建省自然科学基金面上资助项目(2020J01360,2020J01354);福建省中青年教师教育科研资助项目(科技类)(JAT190759);龙岩市科技计划资助项目(2019LYF13010,2018LYQM0101)。
摘 要:以福建黄土坑煤矿为研究对象,采用网络并行电法技术,从三维探测数据处理角度阐述了Levenberg Marquardt反演原理及模型构建,并通过引入光滑约束模型以及自适应调节阻尼因子实施电阻率数据反演,由此获取了该矿采煤工作面底板下不同深度探测异常区视电阻率空间分布情况。研究表明:探测区域存在6个相对低阻异常区且富水性强弱参半,其中Dz1、Dz2、Dz6较弱;Dz3、Dz4、Dz5较强,呈现出浅部较深部强、北强南弱的特征,与钻探验证结果吻合,可信度高。Taking Huangtukeng Coal Mine in Fujian Province as the research object,using network parallel electrical method technology,this paper expounds Levenberg Marquardt inversion principle and model construction from the perspective of three-dimensional detection data processing,and implements resistivity data inversion by introducing smooth constraint model and adaptive adjustment of damping factor,thus,the spatial distribution of apparent resistivity in different depth detection abnormal areas under the floor of the coal mining face are obtained.The results show that there are six relatively low resistivity anomaly areas in the detection area,and the water-richness is half strong and half weak,among which Dz1,Dz2 and Dz6 are weak;Dz3,Dz4 and Dz5are strong,showing the characteristics of the water-richness of stronger in shallow than in deep,stronger in the north and weaker in the south,which is consistent with the drilling verification results and has high reliability.
关 键 词:小煤矿 底板富水性 Levenberg Marquardt反演 网络并行电法 三维探测数据处理
分 类 号:P641[天文地球—地质矿产勘探]
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