地球物理学进展 ›› 2019, Vol. 34 ›› Issue (5): 2119-2127.doi: 10.6038/pg2019CC0519

• 应用地球物理学Ⅱ(海洋、工程、环境、仪器等) • 上一篇    下一篇

用于深部采空区探测的可控源音频大地电磁法抗强干扰数据采集及处理策略

张凯1,林年添1,*(),聂西坤2,田高鹏1,王晓东3   

  1. 1. 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,山东青岛 266590
    2. 山东省第四地质矿产勘查院,山东潍坊 261021
    3. 上海申丰地质新技术应用研究所有限公司,上海 201702
  • 收稿日期:2018-12-04 修回日期:2019-03-15 出版日期:2019-10-28 发布日期:2019-10-28
  • 通讯作者: 林年添 E-mail:linnt@sina.com
  • 作者简介:张凯,男,1992年生,山东临沂人,博士研究生,主要从事综合地球物理勘探及地震储层预测方面的研究工作.(E-mail: 2624638865@qq.com)
  • 基金资助:
    国家高技术研究发展(863)计划(2013AA064201);国家高技术研究发展(863)计划(2012AA061202);国家自然科学基金项目(41174098)

Strategies of anti-jamming data acquisition and processing for exploration of deep goaf based on controlled-source audiomagnetotellurics

ZHANG Kai1,LIN Nian-tian1,*(),NIE Xi-kun2,TIAN Gao-peng1,WANG Xiao-dong3   

  1. 1. Shandong Provincial Key Laboratory of Depositional Mineralization and Sedimentary Minerals, College of Geological Sciences and Engineering, Shandong University of Science and Technology, Shandong Qingdao 266590, China
    2. Shandong Provincial No.4 Institute of Geological and Mineral Survey, Shandong Weifang 261021,China
    3. Shanghai Shenfeng Institute of Novel Geological Techniques Company Limited, Shanghai 201702,China
  • Received:2018-12-04 Revised:2019-03-15 Online:2019-10-28 Published:2019-10-28
  • Contact: Nian-tian LIN E-mail:linnt@sina.com

摘要:

高速公路施工穿越煤矿采空区,存在巨大的安全隐患,严重威胁人员和道路安全,因此准确探测煤层采空区位置对公路勘察具有重要的现实意义.本研究采用可控源音频大地电磁法(Controlled-Source Audiomagnetotellurics ,简称CSAMT)对煤矿采空区进行探测.为提高强干扰背景下深部采空区的探测精度,本研究有针对性地采取了相关数据采集及处理策略.首先结合采空区地质地球物理特征,在强干扰背景下进行多次试验工作,重点研究发射频率、发射电流、发射距等对高精度数据采集的影响,以确定最佳的组合采集参数.然后,在数据处理过程中着重探讨静态效应对反演结果的影响,同时对反演后的结果采用阈值分割方法突出深部采空区电性异常特征.最后结合研究区已有地质物探资料与反演获取的各测量剖面电阻率断面图,查明隐伏采空区的位置、分布范围、规模等基本情况,并布设钻井进行验证,结果表明,实际采空区的埋深及位置与物探异常对应较吻合,验证了本方法的可行性与有效性.

关键词: 可控源音频大地电磁法, 抗强干扰, 数据采集, 数据处理, 采空区预测, 钻孔验证

Abstract:

The highway passes through the coal mine goaf, which has huge potential safety hazards and seriously threatens of personnel and roads. Therefore, it is important for highway survey to accurately detect the location of deep goaf. In this study, Controlled-Source Audiomagnetotellurics (CSAMT) is used to detect goaf in coal mine. In order to improve the detection accuracy of deep goafs under strong interference background, this study has adopted relevant strategies for data collection and processing. Firstly, according to the geological and geophysical characteristics of the mined-out area, data acquisition construction design is carried out for strong interference background. A lot of experimental work is carried out to determine the best combination parameters, focusing on the impact of launch frequency, current and distance for obtaining high-precision data. Then, the influence of static effect is emphatically discussed in the process of data processing, and the constrained threshold segmentation algorithm is used to highlight the electrical anomaly characteristics of deep goaf. Finally, according to geophysical data and inversion results in the study area, the basic conditions such as the location, distribution range and scale of the goaf are identified. At the same time, drilling is carried out , and it is found that the depth and location of the actual goaf are consistent with the geophysical anomalies, which verifies the feasibility and effectiveness of the method.

Key words: Controlled-Source Audiomagnetotellurics(CSAMT), Anti-jamming, Data acquisition, Data processing, Goaf prediction, Drilling verification

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