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Volume 67, Issue 8
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Common‐reflection surface is a method to describe the shape of seismic events, typically the slopes (dip) and curvature portions (traveltime). The most systematic approach to estimate the common‐reflection surface traveltime attributes is to employ a sequence of single‐variable search procedures, inheriting the advantage of a low computational cost, but also the disadvantage of a poor estimation quality. A search strategy where the common‐reflection surface attributes are globally estimated in a single stage may yield more accurate estimates. In this paper, we propose to use the bio‐inspired global optimization algorithm differential evolution to estimate all the two‐dimensional common‐offset common‐reflection surface attributes simultaneously. The differential evolution algorithm can provide accurate estimates for the common‐reflection surface traveltime attributes, with the benefit of having a small set of input parameters to be configured. We apply the differential evolution algorithm to estimate the two‐dimensional common‐reflection surface attributes in the synthetic Marmousi data set, contaminated by noise, and in a land field data with a small fold. By analysing the stacked and coherence sections, we could see that the differential evolution based common‐offset common‐reflection surface approach presented significant signal‐to‐noise ratio enhancement.

© 2019 European Association of Geoscientists & Engineers © 2019 European Association of Geoscientists & Engineers
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/content/journals/10.1111/1365-2478.12827
2019-09-10
2024-04-20

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References

  1. BarrosT., FerrariR., KrummenauerR. and LopesR.2015. Differential evolution‐based optimization procedure for automatic estimation of the common‐reflection surface traveltime parameters. Geophysics80, WD189–WD200.
     [Google Scholar]
  2. BarrosT., KrummenauerR., LopesR. and ChaurisH.2016. Pre‐stack data recovery through common offset CRS stack with differential evolution. Presented at the 78th EAGE Conference and Exhibition 2016, Amsterdam, The Netherlands.
     [Google Scholar]
  3. BerglerS.2001. The common‐reflection‐surface stack for common offset‐theory and application. Master's thesis, Universität Karlsruhe, Germany.
     [Google Scholar]
  4. BourgeoisA., BougetM., LaillyP., PouletM., RicarteP. and VersteegR.1991. Marmousi, model and data. Presented at the 52nd EAGE meeting, Proceedings of the Workshop on Practical Aspects of Seismic Data Inversion, Copenhagen, Denmark.
     [Google Scholar]
  5. GarabitoG., StoffaP., LucenaL. and CruzJ.2012. Part I‐CRS stack: global optimization of the 2D CRS‐attributes. Journal of Applied Geophysics85, 92–101.
     [Google Scholar]
  6. GarabitoG., StoffaP., LucenaL. and SöllnerW.2013. Global optimization of the common‐offset CRS‐attributes: synthetic and field data application. Presented at the SBGf 13th International Congress of the Brazilian Geophysical Society, Rio de Janeiro, Brazil.
     [Google Scholar]
  7. HöchtG., De BazelaireE., MajerP. and HubralP.1999. Seismics and optics: hyperbolae and curvatures. Journal of Applied Geophysics42, 261–281.
     [Google Scholar]
  8. HoechtG., RicarteP., BerglerS. and LandaE.2009. Operator‐oriented CRS interpolation. Geophysical Prospecting57, 957–979.
     [Google Scholar]
  9. JägerR., MannJ., HöchtG. and HubralP.2001. Common‐reflection‐surface stack: image and attributes. Geophysics66, 97–109.
     [Google Scholar]
  10. KhoshnavazM.J., BónaA., DzunicA., UngK. and UrosevicM.2016a. Oriented prestack time migration using local slopes and predictive painting in the common‐source domain for planar reflectors. Geophysics81, S409–S418.
     [Google Scholar]
  11. KhoshnavazM.J., BónaA. and UrosevicM.2016b. Velocity‐independent estimation of kinematic attributes in vertical transverse isotropy media using local slopes and predictive painting. Geophysics81, U73–U85.
     [Google Scholar]
  12. MannJ., JägerR., MüllerT., HöchtG. and HubralP.1999. Common‐reflection‐surface stack: a real data example. Journal of Applied Geophysics42, 301–318.
     [Google Scholar]
  13. MayneW.1962. Common reflection point horizontal data stacking techniques. Geophysics27, 927–938.
     [Google Scholar]
  14. NeidellN. and TanerM.1971. Semblance and other coherency measures for multichannel data. Geophysics36, 482–497.
     [Google Scholar]
  15. RainerS.1995. Differential evolution: a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR‐95‐012. ICSI, Berkeley, CA.
  16. SantosL., YanoF., SalvatierraM., MartinezJ., AndreaniR., TygelM., et al. 2005. A global optimization algorithm applied to the common reflection surface (CRS) problem. Journal of Seismic Exploration14, 217–233.
     [Google Scholar]
  17. SenM. and StoffaP.1995. Global Optimization Methods in Geophysical Inversion, Vol. 4. Advances in Exploration Geophysics. Elsevier.
  18. StockwellJ.1999. The CWP/SU: Seismic Unix package. Computers & Geosciences25, 415–419.
     [Google Scholar]
  19. StornR. and PriceK.1997. Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. Journal of global optimization11, 341–359.
     [Google Scholar]
  20. TanerM.T. and KoehlerF.1969. Velocity spectra‐digital computer derivation applications of velocity functions. Geophysics34, 859–881.
     [Google Scholar]
  21. WaldaJ. and GajewskiD.2017. Determination of wavefront attributes by differential evolution in the presence of conflicting dips. Geophysics82, V229–V239.
     [Google Scholar]
  22. XieY. and GajewskiD.2016. Interpolation and regularization with the 3d crs operator. SEG Technical Program Expanded Abstracts 2016, pp. 4092–4096. Society of Exploration Geophysicists.
  23. ZhangY., BerglerS. and HubralP.2001. Common‐reflection‐surface (CRS) stack for common offset. Geophysical Prospecting49, 709–718.
     [Google Scholar]
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Common‐offset common‐reflection‐surface attributes estimation with differential evolution
Geophysical Prospecting 67, 2022 (2019); https://doi.org/10.1111/1365-2478.12827
/content/journals/10.1111/1365-2478.12827
/content/journals/10.1111/1365-2478.12827
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  • Article Type: Research Article
Keyword(s): Data processing; Noise; Parameter estimation

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