1887
Volume 47, Issue 2
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

[

We use seismic interferometry to process ambient noise recorded in measurement lines. The Rayleigh wave component of the Green’s Functions is obtained with a high S/N ratio. Using CMPCC analysis, we can identify lateral variations of phase velocity inside the seismic line with higher resolution compared to conventional analysis.

,

Determination of the shear-wave velocity structure at shallow depths is a constant necessity in engineering or environmental projects. Given the sensitivity of Rayleigh waves to shear-wave velocity, subsoil structure exploration using surface waves is frequently used. Methods such as the spectral analysis of surface waves (SASW) or multi-channel analysis of surface waves (MASW) determine phase velocity dispersion from surface waves generated by an active source recorded on a line of geophones. Using MASW, it is important that the receiver array be as long as possible to increase the precision at low frequencies. However, this implies that possible lateral variations are discarded. Hayashi and Suzuki (2004) proposed a different way of stacking shot gathers to increase lateral resolution. They combined strategies used in MASW with the common mid-point (CMP) summation currently used in reflection seismology. In their common mid-point with cross-correlation method (CMPCC), they cross-correlate traces sharing CMP locations before determining phase velocity dispersion. Another recent approach to subsoil structure exploration is based on seismic interferometry. It has been shown that cross-correlation of a diffuse field, such as seismic noise, allows the estimation of the Green’s Function between two receivers. Thus, a virtual-source seismic section may be constructed from the cross-correlation of seismic noise records obtained in a line of receivers.

In this paper, we use the seismic interferometry method to process seismic noise records obtained in seismic refraction lines of 24 geophones, and analyse the results using CMPCC to increase the lateral resolution of the results. Cross-correlation of the noise records allows reconstructing seismic sections with virtual sources at each receiver location. The Rayleigh wave component of the Green’s Functions is obtained with a high signal-to-noise ratio. Using CMPCC analysis of the virtual-source seismic lines, we are able to identify lateral variations of phase velocity inside the seismic line, and increase the lateral resolution compared with results of conventional analysis.

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2016-06-01
2026-01-20

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References

  1. Aki K. 1957 Space and time spectra of stationary stochastic waves, with special reference to microtremors: Bulletin of the Earthquake Research Institute of Tokyo University 25 415 457
    [Google Scholar]
  2. Aki, K., 1988, Local site effects on ground motion, in J. L. Von Thun, ed., Earthquake engineering and soil dynamics II — recent advances in ground motion evaluation: American Society of Civil Engineering, Geotechnical Special Publication No. 20, 103–155.
  3. Chávez-García, F. J., 2011, Site effects due to topography and to soft soil layers: progress made and pending issues. A personal perspective: 5th International Conference on Earthquake Geotechnical Engineering, Chilean Geotechnical Society, 105–136.
  4. Chávez-García F. J. Tejeda-Jácome J. 2010 a Site response in Tecomán, Colima, Mexico – I: comparison of results from different instruments and analysis techniques: Soil Dynamics and Earthquake Engineering 30 711 716 10.1016/j.soildyn.2010.03.001
    https://doi.org/10.1016/j.soildyn.2010.03.001 [Google Scholar]
  5. Chávez-García F. J. Tejeda-Jácome J. 2010 b Site response in Tecomán, Colima, Mexico – II: determination of subsoil structure and comparison with observations: Soil Dynamics and Earthquake Engineering 30 717 723 10.1016/j.soildyn.2010.03.002
    https://doi.org/10.1016/j.soildyn.2010.03.002 [Google Scholar]
  6. Chávez-García F. J. Rodríguez M. Stephenson W. R. 2005 An alternative approach to the SPAC analysis of microtremors: exploiting stationarity of noise: Bulletin of the Seismological Society of America 95 277 293 10.1785/0120030179
    https://doi.org/10.1785/0120030179 [Google Scholar]
  7. Chimoto K. Yamanaka H. 2014 Effects of the durations of crosscorrelated microtremor records on broadband dispersion measurements using seismic interferometry: Geophysics 79 Q11 Q19 10.1190/geo2013‑0144.1
    https://doi.org/10.1190/geo2013-0144.1 [Google Scholar]
  8. Chouet B. De Luca G. Milana G. Dawson P. Martini M. Scarpa R. 1998 Shallow velocity structure of Stromboli Volcano, Italy, derived from small-aperture array measurements of strombolian tremor: Bulletin of the Seismological Society of America 88 653 666
    [Google Scholar]
  9. Claerbout J. F. 1968 Synthesis of a layered medium from its acoustic transmission response: Geophysics 33 264 269 10.1190/1.1439927
    https://doi.org/10.1190/1.1439927 [Google Scholar]
  10. Halliday D. Curtis A. Kragh E. 2008 Seismic surface waves in a suburban environment: active and passive interferometric methods: The Leading Edge 27 210 218 10.1190/1.2840369
    https://doi.org/10.1190/1.2840369 [Google Scholar]
  11. Hayashi K. Suzuki H. 2004 CMP cross-correlation analysis of multi-channel surface-wave data: Exploration Geophysics 35 7 13 10.1071/EG04007
    https://doi.org/10.1071/EG04007 [Google Scholar]
  12. Henstridge D. J. 1979 A signal processing method for circular arrays: Geophysics 44 179 184 10.1190/1.1440959
    https://doi.org/10.1190/1.1440959 [Google Scholar]
  13. Kudo, K., Kanno, T., Okada, H., Sasatani, T., Morikawa, N., Apostollidis, P., Pitilakis, K., Raptakis, D., Takahashi, M., Ling, S., Nagumo, H., Irikura, K., Higashi, S., and Yoshida, K., 2002, S-wave velocity structure of EUROSEISTEST, Volvi, Greece, determined by the SPatial AutoCorrelation method applied for array records of microtremors: Proceedings of the 11th Japan Earthquake Engineering Symposium, paper no. 62.
  14. Malagnini L. Herrmann R. Biella G. de Franco R. 1995 Rayleigh waves in quaternary alluvium from explosive sources: determination of shear-wave velocity and Q structure: Bulletin of the Seismological Society of America 85 900 922
    [Google Scholar]
  15. Matsushima T. Okada H. 1990 Determination of deep geological structures under urban areas using long-period microtremors: Butsuri Tansa 43 21 33
    [Google Scholar]
  16. McMechan G. A. Yedlin M. J. 1981 Analysis of dispersive waves by wave field transformation: Geophysics 46 869 874 10.1190/1.1441225
    https://doi.org/10.1190/1.1441225 [Google Scholar]
  17. Park, C. B., Miller, R. D., and Xia, J., 1999a, Multimodal analysis of high frequency surface waves: Proceedings of the symposium on the application of geophysics to engineering and environmental problems ’99, 115–121.
  18. Park C. B. Miller R. D. Xia J. 1999 b Multichannel analysis of surface waves: Geophysics 64 800 808 10.1190/1.1444590
    https://doi.org/10.1190/1.1444590 [Google Scholar]
  19. Roux P. Sabra K. G. Kuperman W. A. Roux A. 2005 Ambient noise correlations in free space: theoretical approach: The Journal of the Acoustical Society of America 117 79 84 10.1121/1.1830673
    https://doi.org/10.1121/1.1830673 [Google Scholar]
  20. Sabra K. G. Roux P. Kuperman W. A. 2005 Arrival-time structure of the time-averaged ambient noise cross-correlation function in an oceanic guide: The Journal of the Acoustical Society of America 117 164 174 10.1121/1.1835507
    https://doi.org/10.1121/1.1835507 [Google Scholar]
  21. Saccorotti G. Chouet B. Dawson P. 2003 Shallow-velocity models at the Kilauea Volcano, Hawaii, determined from array analyses of tremor wavefields: Geophysical Journal International 152 633 648 10.1046/j.1365‑246X.2003.01867.x
    https://doi.org/10.1046/j.1365-246X.2003.01867.x [Google Scholar]
  22. Sanchez-Sesma F. J. Campillo M. 2006 Retrieval of the Green’s Function from cross correlation: the canonical elastic problem: Bulletin of the Seismological Society of America 96 1182 1191 10.1785/0120050181
    https://doi.org/10.1785/0120050181 [Google Scholar]
  23. Shapiro N. M. Campillo M. Stehly L. Ritzwoller M. 2005 High resolution surface wave tomography from ambient seismic noise: Science 307 1615 1618 10.1126/science.1108339
    https://doi.org/10.1126/science.1108339 [Google Scholar]
  24. Singh S. K. Pacheco J. F. Alcántara L. Reyes G. Ordaz M. Iglesias A. Alcocer S. M. Gutierrez C. Valdés C. Kostoglodov V. Reyes C. Mikumo T. Quaas R. Anderson J. G. 2003 A preliminary report on the Tecomán, Mexico earthquake of 22 January 2003 (Mw 7.4): Seismological Research Letters 74 279 289 10.1785/gssrl.74.3.279
    https://doi.org/10.1785/gssrl.74.3.279 [Google Scholar]
  25. Snieder R. 2004 Extracting the Green’s Function from the correlation of coda waves: a derivation based on stationary phase: Physical Review E 69 046610-1 046610-8 10.1103/PhysRevE.69.046610
    https://doi.org/10.1103/PhysRevE.69.046610 [Google Scholar]
  26. Snieder R. Wapenaar K. Larner K. 2006 Spurious multiples in seismic interferometry of primaries: Geophysics 71 SI111 SI124 10.1190/1.2211507
    https://doi.org/10.1190/1.2211507 [Google Scholar]
  27. Tarantola A. Valette B. 1982 Generalized nonlinear inverse problems solved using the least squares criterion: Reviews of Geophysics and Space Physics 20 219 232 10.1029/RG020i002p00219
    https://doi.org/10.1029/RG020i002p00219 [Google Scholar]
  28. Wapenaar K. 2004 Retrieving the elastodynamic Green’s Function of an arbitrary inhomogeneous medium by cross correlation: Physical Review Letters 93 254301-1 254301-4 10.1103/PhysRevLett.93.254301
    https://doi.org/10.1103/PhysRevLett.93.254301 [Google Scholar]
  29. Weaver R. L. Lobkis O. I. 2001 Ultrasonics without a source: thermal fluctuation correlations at MHz: Physical Review Letters 87 134301-1 134301-4 10.1103/PhysRevLett.87.134301
    https://doi.org/10.1103/PhysRevLett.87.134301 [Google Scholar]
  30. Xu Y. Zhang B. Luo Y. Xia J. 2013 Surface-wave observations after integrating active and passive source data: The Leading Edge 32 634 637 10.1190/tle32060634.1
    https://doi.org/10.1190/tle32060634.1 [Google Scholar]
  31. Yokoi T. Margaryan S. 2008 Consistency of the spatial autocorrelation method with seismic interferometry and its consequence: Geophysical Prospecting 56 435 451 10.1111/j.1365‑2478.2008.00709.x
    https://doi.org/10.1111/j.1365-2478.2008.00709.x [Google Scholar]
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High lateral resolution exploration using surface waves from noise records
Exploration Geophysics 47, 123 (2016); https://doi.org/10.1071/EG15020
/content/journals/10.1071/EG15020
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  • Article Type: Research Article
Keyword(s): ambient noise, CMPCC, cross-correlation, MASW, seismic interferometry.

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