Volume 48 Issue 2
Apr.  2020
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LIU Shilei, ZHANG Ying, YUE Jianhua. Application of Simulink in transient process analysis of transient electromagnetic field[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(2): 209-215. DOI: 10.3969/j.issn.1001-1986.2020.02.031
Citation: LIU Shilei, ZHANG Ying, YUE Jianhua. Application of Simulink in transient process analysis of transient electromagnetic field[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(2): 209-215. DOI: 10.3969/j.issn.1001-1986.2020.02.031
shu

Application of Simulink in transient process analysis of transient electromagnetic field

  • 1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China;

  • 2. School of Resource and Geoscience, China University of Mining and Technology, Xuzhou 221116, China

Funds: 

National Natural Science Foundation of China(41674133)

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  • Received Date: November 14, 2019
  • Revised Date: February 25, 2020
  • Published Date: April 24, 2020
    Graphical Abstract
    • Abstract
  • In order to analyze the distribution and variation law of transient electromagnetic field intuitively, the response equations of transient electromagnetic field under different damping states are theoretically derived, including a modeled transient process of transient electromagnetic field via Simulink. The equivalent circuit modules of excitation current, transmitting loop, geological anomaly body, receiving coil and their mutual inductance modules are developed. The influence of inductance, distributed capacitance and resistance on the equivalent circuit of transmitting and receiving loops are systematically studied. The results indicate a direct determination of the excitation waveform characteristics of the transient electromagnetic field based on the damping state of the transmitting loop, while the damping state of the receiving loop directly affects the attenuation characteristics and the observation quality of the transient electromagnetic field. The circuit simulation results are hugely significant in terms of restraining the non-geological influential factors and guide the design of transient electromagnetic observation system.
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    • References (20)
  • [1]
    王大设,汪志军,刘盛东,等. 基于烟圈效应的11点超前探观测系统设计[J]. 煤田地质与勘探,2011,39(3):67-70.

    WANG Dashe,WANG Zhijun,LIU Shengdong,et al. Eleven point observing system in advanced detecting based on smoking ring effect[J]. Coal Geology & Exploration,2011,39(3):67-70.
    [2]
    梁爽. 瞬变电磁法在煤矿水害防治中的应用[J]. 煤田地质与勘探,2012,40(3):70-73 LIANG Shuang. The application of TEM in detecting water hazards in coal mines[J]. Coal Geology & Exploration,2012,40(3):70-73.
    [3]
    李洋,王金平,魏启明. 瞬变电磁法在井下工作面顶板导水裂缝探测中的应用[J]. 煤田地质与勘探,2018,46(增刊1):66-71.

    LI Yang,WANG Jinping,WEI Qiming. Application of transient electromagnetic method for detecting water-conducting crack in the roof of underground working face[J]. Coal Geology& Exploration,2018,46(S1):66-71.
    [4]
    YANG Haiyan,CHEN Shen'en,YUE Jianhua,et al. Transient electromagnetic response with a ramp current excitation using conical source[J]. IEEE Access,2019,7:63829-63836.
    [5]
    YUE Jianhua,ZHANG Herui,YANG Haiyan,et al. Electrical prospecting methods for advance detection:progress,problems,and prospects in Chinese coal mines[J]. IEEE Geoscience and Remote Sensing Magazine,2019,7(3):94-106.
    [6]
    牛之琏. 时间域电磁法原理[M]. 长沙:中南大学出版社,2007. NIU Zhilian. Principle of time domain electromagnetic method[M]. Changsha:Central-south University Press,2007.
    [7]
    蒋邦远. 实用近区磁源瞬变电磁法勘探[M]. 北京:地质出版社,1998. JIANG Bangyuan. Applied near-zone magnetic source transient electromagnetic exploration[M]. Beijing:Geology Press,1998.
    [8]
    牛之琏. 近区瞬变电磁测深曲线畸变段的消除方法[J].煤田地质与勘探,1992,30(1):60-63.

    NIU Zhilian. Eliminate method for distorted stage of transient electromagnetic sounding curve in near-zone[J]. Coal Geology & Exploration,1992,30(1):60-63.
    [9]
    杨海燕,岳建华. 矿井瞬变电磁法理论与技术研究[M]. 北京:科学出版社,2015.

    YANG Haiyan,YUE Jianhua. Study on the theory and technology of mine transient electromagnetic methods[M]. Beijing:Science Press,2015.
    [10]
    TANG Hongzhi,YANG Haiyan,LU Guangyin,et al. Small multi-turn coils based on transient electromagnetic method for coal mine detection[J]. Journal of Applied Geophysics,2019,169:165-173.
    [11]
    杨海燕,岳建华,王梦倩,等. 矿井瞬变电磁法中多匝回线电感对目标体探测的影响[J]. 物探与化探,2007,31(1):34-37.

    YANG Haiyan,YUE Jianhua,WANG Mengqian,et al. Effect of multi-turn-coil inductance on object detection in mine transient electromagnetic method[J]. Geophysical and Geochemical Exploration,2007,31(1):34-37.
    [12]
    杨海燕,岳建华,胡文武,等. 多匝回线的自感对瞬变电磁早期信号的影响特征[J]. 物探化探计算技术,2007,29(2):96-98.

    YANGHaiyan,YUE Jianhua,HU Wenwu,et al. The characteristics of the early signal in tem affected by self-induction of multi-turn coil[J]. Computing Techniques for Geophysical and Geochemical Exploration,2007,29(2):96-98.
    [13]
    于景邨. 矿井瞬变电磁法勘探[M]. 徐州:中国矿业大学出版社,2007.

    YU Jingcun. Mine transient electromagnetic exploration[M]. Xuzhou:China University of Mining and Technology Press,2007.
    [14]
    嵇艳鞠. 浅层高分辨率全程瞬变电磁系统中全程二次场提取技术研究[D]. 长春:吉林大学,2004. JI Yanju. All-time secondary electromagnetic field extraction inhigh resolution transient electromagnetic system for subsurface imaging[D]. Changchun:Jilin University,2004.
    [15]
    嵇艳鞠,林君,王忠. 瞬变电磁接收装置对浅层探测的畸变分析与数值剔除[J]. 地球物理学进展,2007,22(1):262-267.

    JI Yanju,LIN Jun,WANG Zhong. Analysis and numerical removing of distortion intransient electromagnetic receiverdevice for shallow sounding[J]. Progress in Geophysics,2007,22(1):262-267.
    [16]
    付志红,周雒维. 瞬变电磁法高动态电流陡脉冲发射电路研究[J]. 中国电机工程学报,2008,28(33):44-48.

    FU Zhihong,ZHOU Luowei. Research on high dynamic current steep impulsetransmitting circuitsfor transient electromagnetic methodapplication[J]. Proceedings of the CSEE,2008,28(33):44-48.
    [17]
    马江峰. 瞬变电磁法小回线装置浅层探测技术研究[D]. 重庆:重庆大学,2012.

    MA Jiangfeng.Transient electromagneticmethodshallow prospecting technology with small loop device[D]. Chongqing:Chongqing University,2012.
    [18]
    KLEE H,ALLEN R. Simulation of dynamic systems with MATLAB andSimulink(Third Edition)[M]. London:CRC Press,2017.
    [19]
    EVERETT M E. Near-surface applied geophysics[M]. UK:Cambridge University Press,2013.
    [20]
    张莹. 多匝小回线瞬变电磁场衰减规律及其影响因素研究[D]. 徐州:中国矿业大学,2019. ZHANG Ying. Study on attenuation law and influencing factors of transient electromagnetic field in multi-turn small circuit[D]. Xuzhou:China University of Mining and Technology,2019.
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