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可控源音频大地电磁法在潍日高速公路测区应用为例
引用本文:张冲,林年添,聂西坤,王晓东,田高鹏.可控源音频大地电磁法在潍日高速公路测区应用为例[J].科学技术与工程,2019,19(20):61-69.
作者姓名:张冲  林年添  聂西坤  王晓东  田高鹏
作者单位:山东科技大学地球科学与工程学院,山东省沉积成矿作用与沉积矿产重点实验室,山东科技大学地球科学与工程学院,山东省沉积成矿作用与沉积矿产重点实验室,山东省第四地质矿产勘查院,上海申丰地质新技术应用研究所有限公司,山东科技大学地球科学与工程学院,山东省沉积成矿作用与沉积矿产重点实验室
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目),国家高技术研究发展计划(863计划)
摘    要:精确探测地下不明采空区的分布情况,对生产和工程施工安全起着至关重要的作用。基于此,本文采用可控源音频大地电磁法(Controlled-Source Audiomagnetotellurics,简称CSAMT)对潍日高速公路下伏煤矿采空区的分布情况进行精确探测。首先,通过野外多次现场试验,确定最佳采集参数,以获取高品质原始数据;其次,对采集数据进行异常点剔除,并采用中值滤波空间法进行静态校正去噪;然后利用处理后的数据进行反演,得到高分辨率电阻率断面图。通过处理前后电阻率断面图的对比,结果表明处理后的采空区形状更加清晰、位置更加准确。最后,利用测区采空区解释反演结果进行钻孔布设,其反演预测结果与实际钻井基本吻合。

关 键 词:可控源音频大地电磁法  静态校正  反演  电阻率断面  采空区探测
收稿时间:2018/11/22 0:00:00
修稿时间:2019/1/16 0:00:00

Application of High Resolution CSAMT to Improve Detection Accuracy of the Goaf Under WeiRi Expressway
Institution:College of Earth Science and Engineering, Shangdong University of Science and Technology, Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Minerals, College of Geological Sciences & Engineering,,Shandong provincial No.4 Institute Of Geological and Mineral Survey,Shanghai Shenfeng Institute of Novel Geological Techniques Co, Ltd,College of Earth Science and Engineering, Shangdong University of Science and Technology, Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Minerals, College of Geological Sciences & Engineering
Abstract:Accurate detection of the distribution of unidentified goaf areas is critical to production and construction safely. Based on it, in this paper, Controlled-Source Audiomagnetotellurics(CSAMT) is used to accurately detect the distribution of goaf in the coal mine under WeiRi Expressway. First, the best acquisition parameters are determined to obtain high quality raw data through many field tests. Second, abnormal point culling of collected data, and using median filtering space method for static correction and denoising. Then the high resolution resistivity profile is obtained by inversion of the processed data. The comparison of the resistivity profiles before and after processing shows that the processed goaf is more clear in shape and more accurate in position. Finally, using the mined-out area of the survey area to interpret the inversion results for drilling, the inversion prediction results are basically consistent with the actual drilling.
Keywords:CSAMT    static correction    inversion    resistivity section    goaf detection
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