1887
Volume 54, Issue 6
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Accurate statics calculation and near‐surface related noise removal require a detailed knowledge of the near‐surface velocity field. Conventional seismic surveys currently are not designed to provide this information, and 3D high‐resolution reflection/refraction acquisition is not feasible for large survey areas. Satellite images and vibrator plate attributes are dense low‐cost data, which can be used in spatially extrapolating velocities from sparse uphole data by geostatistics. We tested this approach in two different areas of Saudi Arabia and found that the optimal recipe depends on the local geology.

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2006-11-02
2024-03-28
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References

  1. Al‐AliM., Hastings‐JamesR., MakkawiM. and KorvinG.2003. Vibrator attribute leading velocity estimation. The Leading Edge22, 400–405.
    [Google Scholar]
  2. BakerG.S., SteeplesD.W. and SchmeissnerC.2003. The effect of seasonal soil‐moisture conditions on near‐surface seismic reflection data quality. First Break20, 35–41.
    [Google Scholar]
  3. BridleR.2005. Plus/minus method to solve large amplitude near‐surface static corrections. 67th EAGE Meeting, Madrid , Spain , Extended Abstracts, G022.
  4. BridleR., BarsoukovN., Al‐HomailiM., LeyII.R. and Al‐MustafaA.2006. Comparing state‐of‐the‐art near‐surface models of a seismic Test Line from Saudi Arabia. Geophysical Prospecting54, 667–680.
    [Google Scholar]
  5. CornerB.2004. Information content analysis and noise characterization in remote sensing image interpretation . PhD Thesis, University of Nebraska – Lincoln (http://doppler.unl.edu/~bcorner/pca.html).
    [Google Scholar]
  6. CoxM.1999. Static Corrections for Seismic Reflection Surveys . Society Exploration Geophysicists, Tulsa , USA .
    [Google Scholar]
  7. DubruleO.2003. Geostatistics for Seismic Data Integration in Earth Models . SEG/EAGE, Distinguished Instructor Series , 6.
    [Google Scholar]
  8. HagedoornJ.G.1959. The plus‐minus method of interpreting seismic refraction sections. Geophysical Prospecting7, 158–182.
    [Google Scholar]
  9. JainA.K. and DubesR.C.1988. Algorithms for Clustering Data . Prentice–Hall, Inc.
    [Google Scholar]
  10. JeffersonR.D., SteeplesD.W., BlackR.A. and CarrT.1998. Effects of soil‐moisture content on shallow‐seismic data. Geophysics63, 1357–1362.
    [Google Scholar]
  11. JefferyR.W., StewartI.C.F. and AlexanderD.W.1996. Geostatistical estimation of depth conversion velocity using well control and gravity data. First Break14, 313–320.
    [Google Scholar]
  12. LeyR., BridleR., AdolfsW., Al‐HomailiM., VesnaverA. and RasP.2006. Ground viscosity and stiffness measurement for near‐surface seismic velocity. Geophysical Prospecting54, 751–762.
    [Google Scholar]
  13. MaxwellP., TessmanJ. and ReichertB.2001. Design through to production of a MEMS digital accelerometer for seismic acquisition. First Break19, 141–144.
    [Google Scholar]
  14. RasbandW.2006. Imagej Software . Web. address: http://rsb.info.nih.gov/ij.
    [Google Scholar]
  15. VesnaverA.2004. The near‐surface information gap. Geophysical Prospecting52, 653–661.
    [Google Scholar]
  16. VesnaverA., BridleR., LeyR. and RoweR.W.2006. Geostatistical recipes for near surface modeling. Abstracts of the Geo 2006 Conference , Manama , Bahrain .
    [Google Scholar]
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  • Article Type: Research Article

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