The theory and application of the random dislocation directional seismic wave technique in a tunnel environment

被引:4
作者
Yue, Yonggao [1 ,2 ]
Jiang, Tao [1 ,2 ]
Wang, Jingye [1 ,2 ]
Chao, Yunfeng [1 ,2 ]
Zhou, Qi [1 ,2 ]
Zheng, Jinghan [1 ,2 ]
Wang, Xin [1 ,2 ]
机构
[1] Jilin Univ, Key Lab Geoexplorat & Instrumentat, Minist Educ, Changchun 130026, Jilin, Peoples R China
[2] Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130026, Jilin, Peoples R China
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词
directional seismic wave (DSW); random dislocation delay time; tunnel seismic prediction (TSP); false multiple wave interference (FMWI); PREDICTION; TSP;
D O I
10.1093/jge/gxz057
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Performing exact predictions of geological conditions for tunnel construction is important for ensuring safe and quick tunnel engineering. Weak effective signals and strong random noise are the main factors that affect the distance and precision of tunnel seismic detection. Considering that directional seismic wave (DSW) technology has the ability to enhance target signals and suppress random noise, we attempt to apply this method to solve the problems of low detection accuracy and short detection distance. However, the process of data processing with the DSW technique generates false multiple wave interference (FMWI), which can lead to the misinterpretation of geological structures. This study analyses the origins of FMWI and presents the random dislocation directional seismic wave (RDDSW) method to suppress this interference. The results of a numerical simulation indicate that the FMWI is effectively suppressed and that the signal-to-noise ratio of the data is increased by approximately N times through use of the N-element RDDSW technique. In the ideal case, only spherical diffusion attenuation is considered, and the detection distance increases by approximately root N times. In addition, this method is also effective for signals from curved events, thereby improving the precision of the analysis of the geological structure of the tunnel. Furthermore, the field data results further verify that the RDDSW technique can significantly suppress interference and thus improve the quality of the data at little cost. Hence, the RDDSW technique has great significance for accurately predicting the geological structures of tunnels and increasing the detection distance in tunnels.
引用
收藏
页码:939 / 949
页数:11
相关论文
共 23 条
  • [1] [Anonymous], 2016, SEG TECHNICAL PROGRA, DOI DOI 10.1190/SEGAM2016-13858769.1
  • [2] BEAM FORMING WITH VIBRATOR ARRAYS
    ARNOLD, ME
    [J]. GEOPHYSICS, 1977, 42 (07) : 1321 - 1338
  • [3] Fundamental and higher-mode Rayleigh wave characteristics of ambient seismic noise in New Zealand
    Brooks, Laura A.
    Townend, John
    Gerstoft, Peter
    Bannister, Stephen
    Carter, Lionel
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2009, 36
  • [4] Microseismic data SNR enhancement using local projection denoising method
    Chen, Shuangquan
    Meng, Huijie
    Zhong, Qingliang
    Li, Xiang-Yang
    [J]. JOURNAL OF GEOPHYSICS AND ENGINEERING, 2018, 15 (06) : 2566 - 2576
  • [5] Prediction of rock mass rating using TSP method and statistical analysis in Semnan Rooziyeh spring conveyance tunnel
    Esmailzadeh, Akbar
    Mikaeil, Reza
    Shafei, Erfan
    Sadegheslam, Golsa
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2018, 79 : 224 - 230
  • [6] Acoustic zoom high-resolution seismic beamforming for imaging specular and non-specular energy of deep oil and gas bearing geological formations
    Guigne, J. Y.
    Stacey, A. J.
    Clements, C.
    Azad, S.
    Pant, A.
    Gogacz, A.
    Hunt, W.
    Pace, N. G.
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2014, 21 : 568 - 591
  • [7] Guigne J.Y., 2016, SEG Tech. Prog. Expand. Abstracts, V2016, P4881, DOI [10.1190/segam2016-14104648.1, DOI 10.1190/SEGAM2016-14104648.1]
  • [8] Phase velocities from seismic noise using beamforming and cross correlation in Costa Rica and Nicaragua
    Harmon, Nicholas
    Gerstoft, Peter
    Rychert, Catherine A.
    Abers, Geoffrey A.
    de la Cruz, Mariela Salas
    Fischer, Karen M.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2008, 35 (19)
  • [9] TSP24 System and Application in Construction of A Highway Tunnel
    Huang, Jun
    Zhang, Dingli
    Huang, Hao
    [J]. MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 1675 - +
  • [10] Jiang Tao, 2004, Journal of Jilin University (Information Science Edition), V22, P181