Advanced Search

Indexed by SCI、CA、РЖ、PA、CSA、ZR、etc .

Volume 35 Issue 3
Jun 2024
Turn off MathJax
Article Contents
Peng Guan, Cuifa Shao, Yuyong Jiao, Guohua Zhang, Junpeng Zou, Fei Tan. 3-D Tunnel Seismic Advance Prediction Method with Wide Illumination and High-Precision. Journal of Earth Science, 2024, 35(3): 970-979. doi: 10.1007/s12583-021-1503-2
Citation: Peng Guan, Cuifa Shao, Yuyong Jiao, Guohua Zhang, Junpeng Zou, Fei Tan. 3-D Tunnel Seismic Advance Prediction Method with Wide Illumination and High-Precision. Journal of Earth Science, 2024, 35(3): 970-979. doi: 10.1007/s12583-021-1503-2

3-D Tunnel Seismic Advance Prediction Method with Wide Illumination and High-Precision

doi: 10.1007/s12583-021-1503-2
More Information
  • Corresponding author: Yuyong Jiao, yyjiao@cug.edu.cn
  • Received Date: 18 Feb 2021
  • Accepted Date: 24 Jun 2021
  • Issue Publish Date: 30 Jun 2024
  • Tunnel seismic advance prediction can effectively reduce the construction risk during tunnel excavation. Compared with the 2-D method, the 3-D method is more conducive to describing the spatial characteristics of the geological body by adding the seismic data in the vertical direction. However, some drawbacks still need improvement in the current 3-D tunnel seismic prediction method. (1) The geometry is complex, which is destructiveness, high cost, and time-consuming, and will delay the tunnel construction schedule. (2) Illumination of the anomalous body is insufficient, and the precision of migration imaging is low. (3) Shot points are far away from the tunnel face, the energy loss at the shot points is more serious. (4) The received signals at the tunnel wall have the surface wave with strong energy when the shot points are placed on the tunnel wall. (5) The geometry is not linear, so the directional filtering method cannot be used to extract the reflection wave. To overcome the drawbacks of the current prediction method, a new 3-D symmetrical tunnel seismic prediction method is proposed. Six geophones are installed on the tunnel wall, two on the left side, two on the right side, and two on the top side. Twenty-four shot points are placed on the tunnel face and near both sides of the tunnel wall, twelve shot points on the left side and twelve shot points on the right side. The shot points will move along with the forward excavation of the tunnel. The wavefield analysis, illumination statistics, and 3-D reverse time migration imaging are used to evaluate the proposed method. The result of modeled data indicates that the proposed 3-D geometry has some advantages: (1) the geometry is simple and the geophone installation time is short; (2) it has high illumination energy, wide illumination range, and can improve the prediction distance and imaging accuracy; (3) the proposed 3-D method can better estimate the velocity of surrounding rock and is more conducive to extracting the reflection wave with high resolution.

     

  • Conflict of Interest
    The authors declare that they have no conflict of interest.
  • loading
  • Bohlen, T., Borm, G., Giese, R., et al., 2003. ISIS—Integrated Seismic Imaging System for the Geological Prediction ahead of Underground Construction. 65th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, Stavanger. https://doi.org/10.3997/2214-4609-pdb.6.p202
    Cai, X. H., Liu, Y., Ren, Z. M., et al., 2015. Three-Dimensional Acoustic Wave Equation Modeling Based on the Optimal Finite-Difference Scheme. Applied Geophysics, 12(3): 409–420. https://doi.org/10.1007/s11770-015-0496-y
    Chen, L., Ge, Y. F., Zeng, X. M., et al., 2023. Rapid Evaluation of Rock Mass Integrity of Engineering Slopes Using Three-Dimensional Laser Scanning. Journal of Earth Science, 34(6): 1920–1925. https://doi.org/10.1007/s12583-023-2007-z
    Dickmann, T., Sander, B. K., 1996. Drivage Concurrent Tunnel Seismic Prediction (TSP). Felsbau, 14(6): 406–411
    Esmailzadeh, A., Mikaeil, R., Shafei, E., et al., 2018. Prediction of Rock Mass Rating Using TSP Method and Statistical Analysis in Semnan Rooziyeh Spring Conveyance Tunnel. Tunnelling and Underground Space Technology, 79: 224–230. https://doi.org/10.1016/j.tust.2018.05.001
    Gu, B. L., Li, Z. Y., Ma, X. N., et al., 2015. Multi-Component Elastic Reverse Time Migration Based on the P- and S-Wave Separated Velocity-Stress Equations. Journal of Applied Geophysics, 112: 62–78. https://doi.org/10.1016/j.jappgeo.2014.11.008
    Inazaki, T., Isahai, H., Kawamura, S., et al., 1999. Stepwise Application of Horizontal Seismic Profiling for Tunnel Prediction Ahead of the Face. The Leading Edge, 18(12): 1429–1431. https://doi.org/10.1190/1.1438246
    Kim, Y., Cho, Y., Jang, U., et al., 2013. Acceleration of Stable TTI P-Wave Reverse-Time Migration with GPUs. Computers & Geosciences, 52: 204–217. https://doi.org/10.1016/j.cageo.2012.10.013
    Kneib, G., Kassel, A., Lorenz, K., 2000. Automatic Seismic Prediction Ahead of the Tunnel Boring Machine. First Break, 18(7): 295–302. https://doi.org/10.1046/j.1365-2397.2000.00079.x
    Li, S. C., Liu, B., Xu, X. J., et al., 2017. An Overview of Ahead Geological Prospecting in Tunneling. Tunnelling and Underground Space Technology, 63: 69–94. https://doi.org/10.1016/j.tust.2016.12.011
    Li, S. C., Zhou, Z. Q., Ye, Z. H., et al., 2015. Comprehensive Geophysical Prediction and Treatment Measures of Karst Caves in Deep Buried Tunnel. Journal of Applied Geophysics, 116: 247–257. https://doi.org/10.1016/j.jappgeo.2015.03.019
    Li, Z. Y., Ma, X. N., Fu, C., et al., 2016. Wavefield Separation and Polarity Reversal Correction in Elastic Reverse Time Migration. Journal of Applied Geophysics, 127: 56–67. https://doi.org/10.1016/j.jappgeo.2016.02.012
    Lin, C. N., Jiao, Y. Y., Liu, Q. S., 2006. Site Experiment for Predicting Hazardous Geological Formations Ahead of Tunnel Face. Key Engineering Materials, 326/327/328: 461–464. https://doi.org/10.4028/www.scientific.net/kem.326-328.461
    Liu, G. F., Liu, Y. N., Ren, L., et al., 2013. 3D Seismic Reverse Time Migration on GPGPU. Computers & Geosciences, 59: 17–23. https://doi.org/10.1016/j.cageo.2013.05.009
    Lu, X. L., Liao, X., Wang, Y., et al., 2020. The Tunnel Seismic Advance Prediction Method with Wide Illumination and a High Signal-to-Noise Ratio. Geophysical Prospecting, 68(8): 2444–2458. https://doi.org/10.1111/1365-2478.13014
    Otto, R., Button, E., Bretterebner, et al., 2002. The Application of TRT-True Reflection Tomography—At the Unterwald Tunnel. Felsbau, 20(2): 51–56
    Petronio, L., Poletto, F., 2002. Seismic-While-Drilling by Using Tunnel Boring Machine Noise. Geophysics, 67(6): 1798. https://doi.org/10.1190/1.1527080
    Sattel, G., Frey, P., Amberg, R., 1992. Prediction Ahead of the Tunnel Face by Seismic Methods—Pilot Project in Centovalli Tunnel, Locarno, Switzerland. First Break, 10(1): 19–25. https://doi.org/10.3997/1365-2397.1992002
    Shi, S. S., Li, S. C., Li, L. P., et al., 2014. Advance Optimized Classification and Application of Surrounding Rock Based on Fuzzy Analytic Hierarchy Process and Tunnel Seismic Prediction. Automation in Construction, 37: 217–222. https://doi.org/10.1016/j.autcon.2013.08.019
    Sun, W. J., Fu, L. Y., 2013. Two Effective Approaches to Reduce Data Storage in Reverse Time Migration. Computers & Geosciences, 56: 69–75. https://doi.org/10.1016/j.cageo.2013.03.013
    Wang, Y., Fu, N. Y., Lu, X. L., et al., 2019. Application of a New Geophone and Geometry in Tunnel Seismic Detection. Sensors, 19(5): 1246. https://doi.org/10.3390/s19051246
    Xiao, Q. H., Xie, C. J., 2012. Application of Tunnel Seismic Tomography to Tunnel Prediction in Karst Area. Rock and Soil Mechanics, 33(5): 1416–1420. https://doi.org/10.16285/j.rsm.2012.05.032 (in Chinese with English Abstract)
    Xie, J. G., Guo, Z. C., Liu, H., et al., 2018. GPU Acceleration of Time Gating Based Reverse Time Migration Using the Pseudospectral Time-Domain Algorithm. Computers & Geosciences, 117: 57–62. https://doi.org/10.1016/j.cageo.2018.05.006
    Xie, X. B., Jin, S. W., Wu, R. S., 2006. Wave-Equation-Based Seismic Illumination Analysis. Geophysics, 71(5): 169–177. https://doi.org/10.1190/1.2227619
    Xu, S. G., Liu, Y., 2018. Effective Modeling and Reverse-Time Migration for Novel Pure Acoustic Wave in Arbitrary Orthorhombic Anisotropic Media. Journal of Applied Geophysics, 150: 126–143. https://doi.org/10.1016/j.jappgeo.2018.01.013
    Yang, W. C., Liu, X. Y., Chen, Z. X., et al., 2022. Asthenosphere Mass Movement in Qinghai-Tibetan Plateau Revealed by High-Resolution Seismic Tomography. Earth Science, 47(10): 3491–3500. https://doi.org/10.3799/dqkx.2022.871 (in Chinese with English Abstract)
    Yokota, Y., Yamamoto, T., Shirasagi, S., et al., 2016. Evaluation of Geological Conditions Ahead of TBM Tunnel Using Wireless Seismic Reflector Tracing System. Tunnelling and Underground Space Technology, 57: 85–90. https://doi.org/10.1016/j.tust.2016.01.020
    Zabinyakova, O., Bataleva, E., Medved, I., 2023. Comparison Analysis of Longitudinal Electrical Conductivity Distribution and Seismic Tomography Velocity Models for the Central Tien Shan Region. Journal of Earth Science, 34(2): 580–587. https://doi.org/10.1007/s12583-022-1621-5
    Zhang, J., Chen, X. B., Yin, X. K., et al., 2022. 3-D AMT Array Exploration in the Selaha Fault and Adjacent Area. Earth Science, 47(3): 856–866. https://doi.org/10.3799/dqkx.2022.060 (in Chinese with English Abstract)
    Zhao, H., Yin, C., Li, R., et al., 2010. Shot Point Design Based on the Illumination Energy of Target Interval. Geophysical Prospecting for Petroleum, 49(5): 478–481. https://doi.org/10.3969/j.issn.1000-1441.2010.05.007 (in Chinese with English Abstract)
    Zhao, Y. G., Jiang, H., Zhao, X. P., 2006. Tunnel Seismic Tomography Method for Geological Prediction and Its Application. Applied Geophysics, 3(2): 69–74. https://doi.org/10.1007/s11770-006-0010-7
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(12)

    Article Metrics

    Article views(29) PDF downloads(49) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return