1887
Volume 43, Issue 2
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

[

The common reflection surface (CRS) stack is an alternative method of producing a zero-offset stacked section with a higher signal-to-noise ratio (SNR) than the conventional normal moveout (NMO)/dip moveout (DMO) stack method. Since, however, it is difficult to determine global optimal parameters for the CRS stack method by the conventional three-step search method, especially for complex structures and low-fold data, we investigate the ability of simulated annealing (SA) to optimise our estimation of these parameters. We show a detailed but practical procedure for the application of SA to the CRS stack method. We applied the CRS stack method with SA to numerically modelled seismic reflection data, and to multichannel marine seismic data over complicated geological structures around the Median Tectonic Line (MTL) in Japan. We used the results of the conventional three-step search algorithm as the initial model for the SA search and showed that with this approach SA can estimate CRS parameters accurately within a reasonable number of calculations. The CRS stack method with this approach provided a clearer seismic profile with a higher SNR than either a conventional NMO stack method or a conventional CRS stack method.

,

We show the application of simulated annealing to optimise our estimation of the parameters in the common reflection surface (CRS) stack method. This approach using numerically modelled data and multichannel marine seismic data around the Median Tectonic Line in Japan provides a clear seismic profile with a high signal-to-noise ratio.

]
Loading

Article metrics loading...

/content/journals/10.1071/EG12008
2012-06-01
2026-01-19
Loading full text...

Full text loading...

References

  1. Baykulov M. Gajewski D. 2009 Prestack seismic data enhancement with partial common-reflection-surface (CRS) stack: Geophysics 74 V49 V58 10.1190/1.3106182
    https://doi.org/10.1190/1.3106182 [Google Scholar]
  2. Bergler S. Hubral P. Marchetti P. Cristini A. Cardone G. 2002 3D common-reflection-surface stack and kinematic wavefield attributes: The Leading Edge 21 1010 1015 10.1190/1.1518438
    https://doi.org/10.1190/1.1518438 [Google Scholar]
  3. Bonomi E. Cristini A. M. Theis D. Marchetti P. 2009 3D CRS analysis: a data-driven optimization for the simultaneous estimate of the eight parameters: SEG Technical Program Expanded Abstracts 28 3284 3291 10.1190/1.3255542
    https://doi.org/10.1190/1.3255542 [Google Scholar]
  4. Duveneck E. 2004 Velocity model estimation with data-derived wavefront attributes: Geophysics 69 265 274 10.1190/1.1649394
    https://doi.org/10.1190/1.1649394 [Google Scholar]
  5. Garabito G. Cruz J. Hubral P. Costa J. 2001 Common reflection surface stack: a new parameter search strategy by global optimization: SEG Technical Program Expanded Abstracts 20 2009 2012 10.1190/1.1816536
    https://doi.org/10.1190/1.1816536 [Google Scholar]
  6. Garabito G. Cruz J. Hubral P. Costa J. 2006 Application of SA and VFSA global optimization algorithms for search of the 2-D CRS stacking parameters: Wave Inversion Technology Consortium Annual Report 10 24 31
    [Google Scholar]
  7. Garabito G. Cruz J. Lucena L. 2009 2D CRS stack: the use of the stacking velocity as an ‘a priori’ information in the optimization of CRS parameters: Wave Inversion Technology Consortium Annual Report 13 220 227
    [Google Scholar]
  8. Gelchinsky B. 1989 Homeomorphic imaging in processing and interpretation of seismic data (fundamentals and schemes): SEG Technical Program Expanded Abstracts 8 983 988 10.1190/1.1889838
    https://doi.org/10.1190/1.1889838 [Google Scholar]
  9. Gelchinsky B. Berkovitch A. Keydar S. 1999 Multifocusing homeomorphic imaging: Part 1. Basic concepts and formulas: Journal of Applied Geophysics 42 229 242 10.1016/S0926‑9851(99)00038‑5
    https://doi.org/10.1016/S0926-9851(99)00038-5 [Google Scholar]
  10. Höcht G. de Bazelaire E. Majer P. Hubral P. 1999 Seismics and optics: hyperbolae and curvatures: Journal of Applied Geophysics 42 261 281 10.1016/S0926‑9851(99)00040‑3
    https://doi.org/10.1016/S0926-9851(99)00040-3 [Google Scholar]
  11. Hubral P. 1983 Computing true amplitude reflections in a laterally inhomogeneous earth: Geophysics 48 1051 1062 10.1190/1.1441528
    https://doi.org/10.1190/1.1441528 [Google Scholar]
  12. Ingber L. 1989 Very fast simulated re-annealing: Mathematical and Computer Modelling 12 967 973 10.1016/0895‑7177(89)90202‑1
    https://doi.org/10.1016/0895-7177(89)90202-1 [Google Scholar]
  13. Ito T. Ikawa T. Yamakita S. Maeda T. 1996 Gently north-dipping Median Tectonic Line (MTL) revealed by recent seismic reflection studies, southwest Japan: Tectonophysics 264 51 63 10.1016/S0040‑1951(96)00117‑5
    https://doi.org/10.1016/S0040-1951(96)00117-5 [Google Scholar]
  14. Ito T. Kojima Y. Kodaira S. Sato H. Kaneda Y. Iwasaki T. Kurashimo E. Tsumura N. Fujiwara A. Miyauchi T. Hirata N. Harder S. Miller K. Murata A. Yamakita S. Onishi M. Abe S. Sato T. Ikawa T. 2009 Crustal structure of southwest Japan, revealed by the integrated seismic experiment Southwest Japan 2002: Tectonophysics 472 124 134 10.1016/j.tecto.2008.05.013
    https://doi.org/10.1016/j.tecto.2008.05.013 [Google Scholar]
  15. Jäger, R., 1999, The common reflection surface stack - theory and application, Master’ thesis, University of Karlsruhe.
  16. Jäger R. Mann J. Höcht G. Hubral P. 2001 Common-reflection-surface stack: image and attributes: Geophysics 66 97 109 10.1190/1.1444927
    https://doi.org/10.1190/1.1444927 [Google Scholar]
  17. Kamata H. Kodama K. 1999 Volcanic history and tectonics of the Southwest Japan Arc: The Island Arc 8 393 403 10.1046/j.1440‑1738.1999.00241.x
    https://doi.org/10.1046/j.1440-1738.1999.00241.x [Google Scholar]
  18. Kawamura T. Onishi M. Kurashimo E. Ikawa T. Ito T. 2003 Deep seismic reflection experiment using a dense receiver and sparse shot technique for imaging the deep structure of the Median Tectonic Line (MTL) in east Shikoku, Japan: Earth, Planets, and Space 55 549 557
    [Google Scholar]
  19. Kirkpatrick S. Gelatt C. Vecchi M. 1983 Optimization by simulated annealing: Science 220 671 680 10.1126/science.220.4598.671
    https://doi.org/10.1126/science.220.4598.671 [Google Scholar]
  20. Mann, J., 2002, Extensions and applications of the common-reflection-surface stack method, PhD thesis, University of Karlsruhe.
  21. Menyoli E. Gajewski D. Hübscher C. 2004 Imaging of complex basin structures with the common reflection surface (CRS) stack method: Geophysical Journal International 157 1206 1216 10.1111/j.1365‑246X.2004.02268.x
    https://doi.org/10.1111/j.1365-246X.2004.02268.x [Google Scholar]
  22. Müller, T., 1999, The common reflection surface stack method: seismic imaging without explicit knowledge of the velocity model, PhD thesis, University of Karlsruhe.
  23. Müller, N., 2003, The 3D common-reflection-surface stack: theory and application, PhD thesis, University of Karlsruhe.
  24. Müller N. 2009 Treatment of conflicting dips in the 3D common-reflection-surface stack: Geophysical Prospecting 57 981 995 10.1111/j.1365‑2478.2009.00803.x
    https://doi.org/10.1111/j.1365-2478.2009.00803.x [Google Scholar]
  25. Neidell N. S. Taner M. T. 1971 Semblance and other coherency measures for multichannel data: Geophysics 36 482 497 10.1190/1.1440186
    https://doi.org/10.1190/1.1440186 [Google Scholar]
  26. Nelder J. A. Mead R. 1965 A simplex method for function minimization: The Computer Journal 7 308 313
    [Google Scholar]
  27. Rothman D. H. 1985 Nonlinear inversion, statistical mechanics, and residual statics estimation: Geophysics 50 2784 2796 10.1190/1.1441899
    https://doi.org/10.1190/1.1441899 [Google Scholar]
  28. Sen, M. K., and Stoffa, P. L., 1995, Global optimization method in geophysical inversion: Elsevier Science B. V.
  29. Thore P. D. de Bazelaire E. Rays M. P. 1994 The three-parameter equation: an efficient tool to enhance the stack: Geophysics 59 297 308 10.1190/1.1443592
    https://doi.org/10.1190/1.1443592 [Google Scholar]
  30. Trappe H. Gierse G. Pruessmann J. 2001 Case studies show potential of common reflection surface stack: structural resolution in the time domain beyond the conventional NMO/DMO stack. Special topic: seismic processing: First Break 19 625 633
    [Google Scholar]
  31. Velis D. R. Ulrych T. J. 1996 Simulated annealing wavelet estimation via fourth-order cumulant matching: Geophysics 61 1939 1948 10.1190/1.1444109
    https://doi.org/10.1190/1.1444109 [Google Scholar]
  32. Wallis S. 1998 Exhuming the Sanbagawa metamorphic belt: the importance of tectonic discontinuities: Journal of Metamorphic Geology 16 83 95 10.1111/j.1525‑1314.1998.00072.x
    https://doi.org/10.1111/j.1525-1314.1998.00072.x [Google Scholar]
  33. Yoon M. Baykulov M. Dümmong S. Brink H. Gajewski D. 2009 Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack: Tectonophysics 472 273 283 10.1016/j.tecto.2008.05.010
    https://doi.org/10.1016/j.tecto.2008.05.010 [Google Scholar]
/content/journals/10.1071/EG12008
Loading
/content/journals/10.1071/EG12008
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): common reflection surface; Median Tectonic Line; simulated annealing

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