1887
Volume 72, Issue 2
  • E-ISSN: 1365-2478

Abstract

Abstract

In this study, we propose a frequency‐domain autocorrelation as an imaging condition for time‐reversal imaging. The previous imaging conditions in time‐reversal imaging require time‐domain calculations such as inverse Fourier transform. The computational burden of these calculations is critical; therefore, time‐reversal imaging is not the proper method for real‐time event localization. We exclude these time‐domain calculations for efficiency. Instead, the maximum amplitude position of the frequency‐domain autocorrelation of the time‐reversal wavefield is determined as a source location. We conducted numerical tests to validate our imaging condition. The synthetic data test shows that our proposed algorithm provides a more credible source localization result than the conventional grid‐search method does in a noisy environment even using only one frequency component with many receivers. We also applied our algorithm to two real datasets acquired from the small monitoring network in Pohang. The real‐data test shows a comparable result with the result of the grid‐search method.

Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.13434
2024-01-30
2025-06-20
Loading full text...

Full text loading...

References

  1. Bahy, R.M., Salama, G.I. & Mahmoud, T.A. (2011) A no‐reference blur metric guided fusion technique for multi‐focus images. In 2011 28th National Radio Science Conference (NRSC). Piscataway, NJ: IEEE, pp. 1–9.
    [Google Scholar]
  2. Bazargani, F. & Snieder, R. (2016) Optimal source imaging in elastic media. Geophysical Journal International, 204(2), 1134–1147.
    [Google Scholar]
  3. Cho, Y. & Gibson, R.L., Jr,. (2019) Reverse time migration via frequency‐adaptive multiscale spatial grids. Geophysics, 84(2), S41–S55.
    [Google Scholar]
  4. Fink, M., Cassereau, D., Derode, A., Prada, C., Roux, P., Tanter, M., Thomas, J.L. & Wu, F. (2000) Time‐reversed acoustics. Reports on Progress in Physics, 63(12), 1933.
    [Google Scholar]
  5. Fish, A.M. (2012) Microseismic velocity inversion and event location using reverse time imaging. PhD thesis. Golden, CO: Colorado School of Mines.
    [Google Scholar]
  6. Gajewski, D. & Tessmer, E. (2005) Reverse modelling for seismic event characterization. Geophysical Journal International, 163(1), 276–284.
    [Google Scholar]
  7. Hartog, A.H. (2017) An introduction to distributed optical fibre sensors. Boca Raton, FL: CRC Press.
    [Google Scholar]
  8. Hickman, S., Zoback, M.D. & Ellsworth, W. (2004) Introduction to special section: preparing for the San Andreas fault observatory at depth. Geophysical Research Letters, 31, L12S01.
    [Google Scholar]
  9. Kim, K.H., Ree, J.H., Kim, Y., Kim, S., Kang, S.Y. & Seo, W. (2018) Assessing whether the 2017 Mw$M_w$ 5.4 Pohang earthquake in South Korea was an induced event. Science, 360(6392), 1007–1009.
    [Google Scholar]
  10. Larmat, C., Montagner, J.P., Fink, M., Capdeville, Y., Tourin, A. & Clévédé, E. (2006) Time‐reversal imaging of seismic sources and application to the Great Sumatra earthquake. Geophysical Research Letters, 33(19).
  11. Larmat, C., Tromp, J., Liu, Q. & Montagner, J.P. (2008) Time reversal location of glacial earthquakes. Journal of Geophysical Research: Solid Earth, 113(B9), B09314.
    [Google Scholar]
  12. Maxwell, S. (2014) Microseismic imaging of hydraulic fracturing: Improved engineering of unconventional shale reservoirs. Houston, TX: Society of Exploration Geophysicists.
    [Google Scholar]
  13. Nakata, N. (2018) Extended imaging conditions for passive seismic data with gmrtm. In EG technical program expanded abstracts 2018. Houston, TX: Society of Exploration Geophysicists, pp. 2957–2961.
    [Google Scholar]
  14. Nakata, N. & Beroza, G.C. (2016) Reverse time migration for microseismic sources using the geometric mean as an imaging condition. Geophysics, 81(2), KS51–KS60.
    [Google Scholar]
  15. O'Brien, G., Lokmer, I., De Barros, L., Bean, C.J., Saccorotti, G., Metaxian, J.P. & Patané, D. (2011) Time reverse location of seismic long‐period events recorded on Mt. Etna. Geophysical Journal International, 184(1), 452–462.
    [Google Scholar]
  16. Okada, Y. (2013) Recent progress of seismic observation networks in Japan. Journal of Physics: Conference Series, 433, 012039.
    [Google Scholar]
  17. Prada, C., Manneville, S., Spoliansky, D. & Fink, M. (1996) Decomposition of the time reversal operator: Detection and selective focusing on two scatterers. The Journal of the Acoustical Society of America, 99(4), 2067–2076.
    [Google Scholar]
  18. Song, C., Alkhalifah, T. & Wu, Z. (2018) Velocity analysis and event estimation for passive seismic data using source focusing function. In SEG technical program expanded abstracts 2018. Houston, TX: Society of Exploration Geophysicists, pp. 2927–2931.
    [Google Scholar]
  19. Tanter, M., Aubry, J.F., Gerber, J., Thomas, J.L. & Fink, M. (2001) Optimal focusing by spatio‐temporal inverse filter. I. basic principles. The Journal of the Acoustical Society of America, 110(1), 37–47.
    [Google Scholar]
  20. Tanter, M., Thomas, J.L. & Fink, M. (2000) Time reversal and the inverse filter. The Journal of the Acoustical Society of America, 108(1), 223–234.
    [Google Scholar]
  21. Xue, Q., Wang, Y. & Chang, X. (2016) Fast 3D elastic micro‐seismic source location using new GPU features. Physics of the Earth and Planetary Interiors, 261, 24–35.
    [Google Scholar]
/content/journals/10.1111/1365-2478.13434
Loading
/content/journals/10.1111/1365-2478.13434
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): acquisition; borehole geophysics; elastic; imaging; seismics; signal processing

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error