1887
Volume 23, Issue 1-2
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

A new correlation and picking algorithm has been developed which uses multi-component seismic data from two stations. A conventional single-station covariance matrix analysis is well known to provide polarization estimates of the particle motion at a given point in space. This single-station technique is successful if any noise present on the data is purely random. However, in the presence of coherent noise, the single-station analysis breaks down. A two-station (binocular) covariance matrix provides similar information at two points in space, as well as indicating the correlation between the two stations. The major advantage of the procedure is that it can successfully identify overlapping arrivals (in the time domain) where a single-station analysis fails. The binocular analysis may be sequentially applied to a multi-station seismic gather using the same reference signal to identify a coherent event. The technique was applied to synthetic data and then successfully used to pick overlapping events on data acquired in a physical scale-model experiment.

© 1992 ASEG
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1992-03-01
2026-01-19

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References

  1. Bataille, K., and Chiu, J. M., (1991). ‘Polarization analysis of high-frequency, three-component seismic data.’ Bull, seism. Soc. Am.81, 622–642.
  2. Benhama, A., Cliet, C., and Dubesset, M. (1988). ‘Study and applications of spatial directional filtering in three-component recordings.’ Geophys. Prosp.36, 591–613.
  3. Born, M., and Wolf, E. (1965). ‘Principles of optics’, 3rd edition, Pergamon Press, New York.
  4. Esmersoy, C. (1984). ‘Polarization analysis, rotation and velocity estimation in three-component VSR’ In ‘Vertical Seismic Profiling — Part B: Advanced Concepts’, ed. Toksoz, M. N., and Stewart, R. R. Geophysical Press, 236–255.
  5. Flinn, E. A. (1965). ‘Signal analysis using rectilinearity and direction of particle motion.’ Proc. IEEE53, 1874–1876.
  6. Freire, S. L. M., and Ulrych, T. J. (1988). ‘Application of singular value decomposition to vertical seismic profiling.’ Geophysics53, 778–785.
  7. Jackson, G. J., Mason, I. M., and Greenhalgh, S. A. (1991). ‘Principal component transforms of triaxial recordings by singular value decomposition.’ Geophysics56, 528–533.
  8. Jurkevics, A. (1988). ‘Polarization analysis of three-component array data.’ Bull, seism. Soc. Am.78, 1725–1743.
  9. Kanasewich, E. R. (1981). ‘Time sequence analysis in geophysics.’ The University of Alberta Press, Edmonton.
  10. Kennett, B. L. N. (1991). ‘The removal of free surface interactions from three-component seismograms.’ Geophys. J. Int.104, 153–163.
  11. Magotra, N., Ahmed, N., and Chael, E. (1987). ‘Seismic event detection and source location using single-station (three-component) data.’ Bull, seism. Soc. Am.77, 958–971.
  12. Means, J. D. (1972). ‘The use of the three dimensional covariance matrix in analyzing the polarization properties of plane waves.’ J. Geophys. Res.77, 5551–5559.
  13. Montalbetti, J. F., and Kanasewich, E. R. (1970). ‘Enhancement of teleseismic body phases with a polarization filter.’ Geophys. J. Roy. Astron. Soc.21, 119–129.
  14. Pant, D. R. (1989). ‘Physical seismic modelling: studies in ground roll suppression, reflector resolution and multi-component wavefleld separation.’ Ph.D. Thesis, The Flinders University of South Australia.
  15. Pant, D. R., and Greenhalgh, S. A. (1990). ‘A multi-component offset VSP scale model investigation.’ Geoexploration26, 191–212.
  16. Rutty, M. J., and Greenhalgh, S. A. (in press). ‘The correlation of seismic events on multi-component data in the presence of coherent noise.’ Geophys. J. Int.
  17. Vidale, J. E., (1986). ‘Complex polarization analysis of particle motion,’ Bull, seism. Soc. Am.76, 1393–1405.
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  • Article Type: Research Article
Keyword(s): eigen-decomposition; multi-component seismic processing; polarization theory; wavelet correlation

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