1887
Volume 57, Issue 6
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

The 3D common‐reflection‐surface stack is a tool to simulate zero‐offset sections from the prestack data. In conventional implementations conflicting dip situations, i.e., the contribution of more than one stacking operator per output location, are not taken into account. This leads to stacked sections with fragmentary events and to incomplete sets of stacking parameters. Subsequent applications based on the results of the common‐reflection‐surface stack and its attributes will show deteriorated quality.

In this paper, I present a modified workflow for the handling of the conflicting dip problem in context of the 3D common‐reflection‐surface stack. The strategy utilizes the path‐summation technique to obtain an improved input for the conflicting dip search in the zero‐offset domain. The actual detection is done by means of an adapted peak detection algorithm. For each detected event consistent sets of attributes are obtained by a newly introduced search step.

Two 3D real data applications show the applicability of the proposed technique. The strategy proves to resolve most of the conflicting dip situations even for poor signal‐to‐noise ratio. With only moderate additional computational cost the presented method provides superior results compared to the conventional 3D common‐reflection‐surface stack.

Loading

Article metrics loading...

/content/journals/10.1111/j.1365-2478.2009.00803.x
2009-04-21
2024-04-19
Loading full text...

Full text loading...

References

  1. BerglerS.2004. On The Determination and Use of Kinematic Wavefield Attributes for 3D Seismic Imaging . Logos Verlag, Berlin .
    [Google Scholar]
  2. ČervenýV.2001. Seismic Ray Theory . Cambridge University Press.
    [Google Scholar]
  3. DümmongS.2006. Alternative implementierung des common reflection surface stapelverfahrens .  MsC thesis, University of Hamburg .
  4. DuveneckE.2004. Tomographic Determination of Seismic Velocity Models with Kinematic Wavefield Attributes . Logos Verlag, Berlin .
    [Google Scholar]
  5. GarabitoG., CruzJ.C. and HubralP.2007. Application of SA and VFSA global optimization algorithms for search of the 2‐D CRS stacking parameters. Wave Inversion Technology Consortium ‐ Annual Report No. 10, 24–31.
    [Google Scholar]
  6. GelchinskyB.1989. Homeomorphic imaging in processing and interpretation of seismic data ‐ fundamentals and schemes. 59th SEG meeting, Dallas, Texas, USA, Expanded Abstracts.
  7. GelchinskyJ., BerkovitchA. and KeydarS.1999. Multifocusing homeomorphic imaging. Part 1: Basic concepts and formulae. Journal of Applied Geophysics42, 229–242.
    [Google Scholar]
  8. HubralP.1983. Computing true amplitude reflections in a laterally inhomogeneous earth. Geophysics48, 1051–1062.
    [Google Scholar]
  9. JägerR.1999. The common–reflection–surface stack – theory and application .  MsC thesis, University of Karlsruhe .
  10. JägerC.2005. Minimum‐Aperture Kirchhoff Migration with CRS Stack Attributes . Logos Verlag, Berlin .
    [Google Scholar]
  11. LandaE., FomelS. and MoserT.J.2006. Path‐integral seismic imaging. Geophysical Prospecting54, 491–503.
    [Google Scholar]
  12. LandaE., GurevichB., KeydarS. and TrachtmanP.1999. Application of multifocusing method for subsurface imaging. Journal of Applied Geophysics42, 283–300.
    [Google Scholar]
  13. MannJ.2001. Common‐Reflection‐Surface Stack and conflicting dips. In 71st SEG meeting, San Antonio, Texas, USA, Expanded Abstracts.
  14. MannJ.2002. Extensions and Applications of the Common‐Reflection‐Surface Stack Method . Logos Verlag, Berlin .
    [Google Scholar]
  15. MüllerN.‐A.2003. The 3D common–reflection–surface stack – theory and application .  MsC thesis, University of Karlsruhe .
  16. MüllerN.‐A.2007. Determination of interval velocities by inversion of kinematic 3D wavefield attributes . PhD thesis, Universität Karlsruhe , Germany .
  17. NeidellN. and TanerM.1971. Semblance and other coherency measures for multichannel data. Geophysics36, 482–497.
    [Google Scholar]
  18. PressW., TeukolskyS., VetterlingW. and FlanneryB.2002. Numerical Recipes in C++, 2nd edn. Cambridge University Press.
    [Google Scholar]
  19. SalvatierraM., YanoF., SantosL.T., MartinezJ.M.AndreaniR. and TygelM.2005. A global optimization algorithm applied to the CRS problem. Wave Inversion Technology Consortium ‐ Annual Report No. 8, 26–31.
  20. SpinnerM.2007. CRS‐based minimum‐aperture Kirchhoff migration in the time domain . PhD thesis, Universität Karlsruhe , Germany .
  21. ThoreM., De BazelaireE. and RayM.1994. Three–parameter equation: An efficient tool to enhance the stack. Geophysics59, 297–308.
    [Google Scholar]
  22. WhitleyD., BeveridgeR. and RossC.1998. Automated velocity picking: a computer vision and optimization approach. Technical Report CS‐98‐114. Computer Science Department, Colorado State University .
http://instance.metastore.ingenta.com/content/journals/10.1111/j.1365-2478.2009.00803.x
Loading
/content/journals/10.1111/j.1365-2478.2009.00803.x
Loading

Data & Media loading...

  • Article Type: Research Article

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