1887
Volume 54, Issue 1
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

Currently, the transmitting channel wave technique mainly uses the attenuation coefficient of the channel wave total energy to explore the geological structure of the coal seam face. In the case of weak geophone coupling and intense geological anomaly, the channel wave energy will be attenuated severely, which significantly affects the stability and accuracy of the result. The Q value of the coal channel is a critical parameter to evaluate the energy attenuation characteristics of the channel wave. The Q value is typically estimated by using the attenuation coefficient of the body wave, but the special coal channel model hinders the estimation of the Q value of the coal seam. According to the linear attenuation characteristics of the centroid frequency of the transmitting channel wave, a new method was proposed to assess the quality factor (Q) of the coal channel by using the centroid frequency change of the channel wave signal. The expected frequency was calculated as its centroid frequency according to the energy ratio of each frequency point through the spectral analysis of the channel wave signal. Combined with the transmission tomography technology, the imaging of the coal seam face based on the transmitting channel wave Q value was established. According to the sudden change of the Q value of the coal channel near the geological structure of the coal seam face, a geological interpretation method based on the abnormal Q value was proposed. The two-dimensional numerical simulation demonstrated that the centroid frequency of the transmitting channel wave signal decayed linearly with the propagation distance and the geological structure increased the frequency shift. Furthermore, three-dimensional numerical simulation validated the feasibility and effectiveness of the Q value inversion method. Field Experimental results showed that the algorithm exhibited improved stability and accuracy. This work proposed a novel frequency-domain inversion method of the transmitting channel wave that directly uses the frequency shift characteristics of the channel wave to estimate the Q value of the coal channel, which offers a new strategy in the data processing of channel wave.

© 2022 Australian Society of Exploration Geophysicists
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2023-01-02
2026-01-16

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References

  1. Bai, C.Y., S.Greenhalgh, and B.Zhou. 2007. 3-D ray tracing using a modified shortest-path method. Geophysics72 no. 4: T27–T36.
     [Google Scholar]
  2. Buchanan, D.J.1978. The propagation of attenuated SH channel waves. Geophysical Prospecting26: 16–28.
     [Google Scholar]
  3. Gao, J., S.Yang, and D.Wang. 2008. Using the instantaneous frequency of the envelope peak of the direct wave of VSP data to extract the medium quality factor. Chinese Journal of Geophysics51 no. 3: 853–861. (in Chinese).
     [Google Scholar]
  4. He, W.2017. Three dimensions in-seam wave field simulation and detection method research of working face fault. China University of Mining and Technology: 98–109 (in Chinese).
     [Google Scholar]
  5. Hu, Z., P.Zhang, and G.Xu2018. Dispersion features of transmitted channel waves and inversion of coal seam thickness. Acta Geophysica66 no. 5: 1001–1009.
     [Google Scholar]
  6. Ji, G., J.Cheng, J.Hu, J.Wang, G.Li, and B.Wang. 2014. Imaging method and application of channel wave attenuation coefficient. Journal of China Coal Society39 no. S2: 471–475. (in Chinese).
     [Google Scholar]
  7. Ji, G., J.Cheng, and P.Zhu. 2011. Numerical simulation of love type channel wave in coal seam and analysis of its dispersion characteristics. Coal Science and Technology39 no. 6: 106–109. (in Chinese).
     [Google Scholar]
  8. Ji, G., J.Cheng, P.Zhu, and H.Li. 2012. Three-dimensional numerical simulation and dispersion analysis of channel waves in coal mines. Chinese Journal of Geophysics55 no. 2: 645–654. (in Chinese).
     [Google Scholar]
  9. Ji, G., J.Wei, S.Yang, J.Yang, R.Ding, and G.Zhang. 2019. Preliminary study on the wave field and dispersion characteristics of HTI coal seam media. Chinese Journal of Geophysics62 no. 2: 789–801. (in Chinese).
     [Google Scholar]
  10. Lei, F., W.Wang, S.Li, X.Yao, J.Teng, and X.Gao. 2017. Research on the Channel Wave Field Characters of Goaf in Coal Mine and Its Application. In Technology and Application of Environmental and Engineering Geophysics, ed. Q. Di, G. Xue, and J. Xia, 57–70. Beijing, Singapore: Springer.
     [Google Scholar]
  11. Li, H., P.Zhu, G.Ji, and Q.Zhang. 2016. Modified image algorithm to simulate seismic channel waves in 3D tunnel model with rugged free surfaces. Geophysical Prospecting64 no. 5: 1259–1274.
     [Google Scholar]
  12. Li, X.P., W.Schott, and H.Rüter. 1995. Frequency-dependentQ-estimation of love-type channel waves and the application of Q-correction to seismograms. Geophysics60 no. 6: 1773–1789.
     [Google Scholar]
  13. Liu, T.1994. Channel wave seismic exploration. Xuzhou, Jiangsu Province: China University of Mining and Technology Press.
  14. Liu, T., and J.Cheng. 1993. Absorption and attenuation of channel wave. Journal of China Coal Society18 no. 05: 83–86. (in Chinese).
     [Google Scholar]
  15. Luxbacher, K., Westman, E., Swanson, P. and M.Karfakis2008. Three-dimensional time-lapse velocity tomography of an underground longwall panel. International Journal of Rock Mechanics and Mining Sciences45 no. 4: 478–485.
     [Google Scholar]
  16. Quan, Y., and J.M.Harris. 1997. Seismic attenuation tomography using the frequency shift method. Geophysics62 no. 3: 895–905.
     [Google Scholar]
  17. Wang, B., S.Liu, F.Zhou, Z.Hu, L.Huang, and Y.Jiang. 2016aa. Dispersion characteristics of SH transmitted channel waves and comparative study of dispersion analysis methods. Journal of Computational and Theoretical Nanoscience13 no. 2: 1468–1474.
     [Google Scholar]
  18. Wang, B., H.Sun, X.Li, S.Xing, and X.Ding. 2021. Study on seismic wave field characteristics and application of CO2 concentrated force source. Journal of China Coal Society46 no. 2: 556–565. (in Chinese).
     [Google Scholar]
  19. Wang, J.2015. Research on the experiment and method of detecting goaf roadway with reflection channel wave. Journal of China Coal Society8: 1879–1885. (in Chinese).
     [Google Scholar]
  20. Wang, J., G.Li, G.Wu, H.Niu, S.Liu, and B.Wang. 2016ba. Transmission channel wave detection technology for geological anomalies in coal mining face. Coal Science and Technology44 no. 6: 159–163. (in Chinese).
     [Google Scholar]
  21. Wang, Q., and J.Gao. 2018. An improved peak frequency shift method for Q estimation based on generalized seismic wavelet function. Journal of Geophysics and Engineering15 no. 1: 164–178.
     [Google Scholar]
  22. Wang, W., X.Gao, S.Li, Y.Le, G.Hu, and Y.Li. 2012. The application of channel wave tomography in coal field exploration-An example of henan yima mining area. Chinese Journal of Geophysics55 no. 3: 1054–1062 (in Chinese).
     [Google Scholar]
  23. Wang, W., G.Xue, X.Gao, J.Teng, and H.Cui. 2016bb. Channel wave tomographic imaging method and its application in detection of collapse column in coal. International conference on Environment and Engineering geophysics & summit forum of Chinese academy of Engineering on Engineering Science and technology, Pp.149-152.
     [Google Scholar]
  24. Wang, Y.2002. A stable and efficient approach of inverse Q filtering. Geophysics67: 657–663.
     [Google Scholar]
  25. Wang, Y.2004. Constructing subsurface structures of the chelungpu fault to investigate mechanisms leading to abnormally large ruptures during the 1999 Chi-Chi earthquake, taiwan. Geophysical Research Letters31: L17606.
     [Google Scholar]
  26. Wang, Y.2014. Stable Q analysis on vertical seismic profiling data. Geophysics79: D217–D225.
     [Google Scholar]
  27. Wang, Z., T.Fan, S.Ma, H.Fan, H.Zhang, and Y.Ma. 2015. Variation law of seismic wave centroid frequency. Petroleum Geophysical Prospecting5: 861–872(in Chinese).
     [Google Scholar]
  28. Yang, S., J.Wei, J.Cheng, L.Shi, and Z.Wen. 2016. Numerical simulations of full-wave fields and analysis of channel wave characteristics in 3-D coal mine roadway models. Applied Geophysics13 no. 4: 621–630.
     [Google Scholar]
  29. Yang, X., S.Cao, D.Li, P.Yu, and H.Zhang. 2014. Analysis of quality factors for Rayleigh channel waves. Applied Geophysics11 no. 1: 107–114.
     [Google Scholar]
  30. Zhang, J., Y.Huang, L.P.Song, and Q.H.Liu. 2011. Fast and accurate 3-D ray tracing using bilinear traveltime interpolation and the wave front group marching. Geophysical Journal International184 no. 3: 1327–1340.
     [Google Scholar]
  31. Zhang, Y.2003. Numerical simulation method of seismic wave field. Geophysical Prospecting for Petroleum42 no. 2: 143–148. (in Chinese).
     [Google Scholar]
  32. Zhu, M., J.Cheng, W.Cui, and H.Yue. 2019. Comprehensive prediction of coal seam thickness by using in-seam seismic surveys and Bayesian kriging. Acta Geophysica67 no. 3: 825–836.
     [Google Scholar]
/content/journals/10.1080/08123985.2022.2054323
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Estimation method of coal channel Q value based on frequency shift phenomenon of transmitting channel wave
Exploration Geophysics 54, 79 (2023); https://doi.org/10.1080/08123985.2022.2054323
/content/journals/10.1080/08123985.2022.2054323
/content/journals/10.1080/08123985.2022.2054323
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  • Article Type: Research Article
Keyword(s): centroid frequency; Channel wave exploration; coal channel Q value; frequency shift; tomography

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