1887
25th International Conference and Exhibition – Interpreting the Past, Discovering the Future
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

Seismic data collected in volcanic rocks coverage area has weak energy and low signal to noise ratio. These characteristics cause severe problems for seismic exploration. Many geophysicists try to solve these problems and propose many methods. Some of them focus on the acquisition method to improve the signal to noise ratio of data in the step of data acquisition. The others focus on the processing method to improve the data .In this paper, we focus on the processing method and try to apply the seismic interferometry to volcanic rocks coverage collected on the periphery of Songliao Basin to improve the signal to noise ratio and the resolution.

© 2016 ASEG
Loading

Article metrics loading...

/content/journals/10.1071/ASEG2016ab170
2016-12-01
2026-01-23

  • From This Site

    /content/journals/10.1071/ASEG2016ab170
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bakulin, A., and R. Calvert, 2006, The virtual source method: Theory and case study: Geophysics, 71, no. 4, SI139-SI150.
  2. Bharadwaj, P., G. T. Schuster, I. Mallinson, and W. Dai, 2012, Theory of supervirtual refraction interferometry: Geophysical Journal International, 188, 263-273.
  3. Carriere and Gerstoft, 2013, Deep-water subsurface imaging using OBS interferometry, Geophysics, vol. 78, P. Q15-Q24.
  4. De Ridder, S., and J. Dellinger, 2011, Ambient seismic noise eikonaltomography for near-surface imaging at Valhall: The Leading Edge, 30, 506-512.
  5. Draganov, D., K. Wapenaar, W. Mulder, J. Singer, and A. Verdel, 2007, Retrieval of reflections from seismic background-noise measurements: Geophysical Research Letters, 34, L04305.
  6. Gaiser, J., and I. Vasconcelos, 2010, Elastic interferometry for ocean bottom cable data: Theory and examples: Geophysical Prospecting, 58, 347-360.
  7. Gerstoft, P., K. G. Sabra, P. Roux, W. A. Kuperman, and M. C. Fehler, 2006, Green’s functions extraction and surface-wave tomography from microseisms in southern California: Geophysics, 71, no. 4, SI23-SI31.
  8. Haines, S. S., 2011, PP and PS interferometric images of near-seafloor sediments: 81st Annual International Meeting, SEG, Expanded Abstracts, 1288-1292.
  9. Miyazawa, M., R. Snieder, and A. Venkataraman, 2008, Application of seismic interferometry to extract P- and S-wave propagation and observation of shear-wave splitting from noise data at Cold Lake, Alberta, Canada: Geophysics, 73, no. 4, D35-D40.
  10. Mehta, K., A. Bakulin, J. Sheiman, R. Calvert, and R. Snieder, 2007. Improving the virtual source method by wavefield separation: Geophysics, 72, no. 4, V79-V86.
  11. Minato, S., T. Matsuoka, T. Tsuji, D. Draganov, J. Hunziker, and K. Wapenaar, 2011, Seismic interferometry using multidimensional deconvolution and crosscorrelation for crosswell seismic reflection data without borehole sources: Geophysics, 76, no. 1, SA19-SA34.
  12. Minato, S., T. Tsuji, T. Matsuoka, and K. Obana, 2012, Crosscorrelation of earthquake data using stationary phase evaluation: Insight into reflection structures of oceanic crust surface in the Nankai Trough: International Journal of Geophysics, 2012, 1-8.
  13. Roux, P., K. G. Sabra, P. Gerstoft, W. A. Kuperman, and M. C. Fehler, 2005, P-waves from cross-correlation of seismic noise: Geophysical Research Letters, 32, L19303.
  14. Schuster, G. T., 2009, Seismic interferometry: Cambridge University Press.
  15. Snieder, R., A. Gret, H. Douma, and J. Scales, 2002, Coda wave interferometry for estimating nonlinear behavior in seismic velocity: Science, 295, 2253-2255.
  16. Shapiro, N. M., M. Campillo, L. Stehly, and M. H. Ritzwoller, 2005, High-resolution surface-wave tomography from ambient seismic noise: Science, 307, 1615-1618.
  17. Wapenaar, K., 2004, Retrieving the elastodynamic Green’s function of an arbitrary inhomogeneous medium by cross correlation: Physical Review Letters, 93, 254301.
  18. Wapenaar, K., Draganov, D., Snieder, R., Campman, X., & Verdel, A. 2010a. Tutorial on seismic interferometry: part 1 - basic principles and applications. Geophysics, 75, 75A195-75A209.
  19. Wapenaar, K., E. Slob, R. Snieder, and A. Curtis, 2010b, Tutorial on seismic interferometry: Part 2 - Underlying theory and new advances: Geophysics, 75, no. 5, 75A211-75A227.
  20. Yi Tao and Mrinal K. Sen,2013.On a plane-wave based crosscorrelation-type seismic interferometry. GEOPHYSICS, 78(4), Q35-Q44.
  21. Yu, J., and G. T. Schuster, 2006, Crosscorrelogram migration of inverse vertical seismic profile data: Geophysics, 71, no. 1, S1-S11. Heng Zhu, De-li Wang. Seismic interferometry in parabolic Radon domain. Journal of Seismic Exploration, 2015, 24:37-50.
/content/journals/10.1071/ASEG2016ab170
Loading
  • Article Type: Research Article
Keyword(s): seismic interferometry; Seismic processing; Songliao Basin

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