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Volume 65, Issue 6
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Near‐surface problem is a common challenge faced by land seismic data processing, where often, due to near‐surface anomalies, events of interest are obscured. One method to handle this challenge is near‐surface layer replacement, which is a wavefield reconstruction process based on downward wavefield extrapolation with the near‐surface velocity model and upward wavefield extrapolation with a replacement velocity model. This requires, in theory, that the original wavefield should be densely sampled. In reality, data acquisition is always sparse due to economic reasons, and as a result in the near‐surface layer replacement data interpolation should be resorted to. For datasets with near‐surface challenges, because of the complex event behaviour, a suitable interpolation scheme by itself is a challenging problem, and this, in turn, makes it difficult to carry out the near‐surface layer replacement. In this research note, we first point out that the final objective of the near‐surface layer replacement is not to obtain a newly reconstructed wavefield but to obtain a better final image. Next, based upon this finding, we propose a new thinking, interpolation‐free near‐surface layer replacement, which can handle complex datasets without any interpolation. Data volume expansion is the key idea, and with its help, the interpolation‐free near‐surface layer replacement is capable of preserving the valuable information of areas of interest in the original dataset. Two datasets, i.e., a two‐dimensional synthetic dataset and a three‐dimensional field dataset, are used to demonstrate this idea. One conclusion that can be drawn is that an attempt to interpolate data before layer replacement may deteriorate the final image after layer replacement, whereas interpolation‐free near‐surface layer replacement preserves all image details in the subsurface.

© 2017 European Association of Geoscientists & Engineers © 2017 European Association of Geoscientists & Engineers
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2017-03-19
2024-04-20

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References

  1. Al‐AliM.N. and VerschuurD.J.2006. An integrated method for resolving the seismic complex near‐surface problem. Geophysical Prospecting54, 739–750.
     [Google Scholar]
  2. AlkhalifahT. and BagainiC.2006. Straight‐rays redatuming: a fast and robust alternative to wave‐equation‐based datuming. Geophysics71, U37–U46.
     [Google Scholar]
  3. BerkhoutA.J.1982. Seismic migration, imaging of acoustic energy by wave field extrapolation, A: theoretical aspects. Elsevier.
     [Google Scholar]
  4. BerkhoutA.J.1997. Pushing the limits of seismic imaging, part II: integration of prestack migration, velocity estimation and AVO analysis. Geophysics62, 954–969.
     [Google Scholar]
  5. BerryhillJ.R.1979. Wave‐equation datuming. Geophysics44, 1329–1344.
     [Google Scholar]
  6. BerryhillJ.R.1984. Wave‐equation datuming before stack. Geophysics49, 2064–2066.
     [Google Scholar]
  7. BevcD.1997. Flooding the topography: wave‐equation datuming of land data with rugged acquisition topography. Geophysics62, 1558–1569.
     [Google Scholar]
  8. BiondiB. and PalacharlaG.1996. 3‐D prestack migration of common‐azimuth data. Geophysics61, 1822–1832.
     [Google Scholar]
  9. GardnerG.H.F.1974. Formation velocity and density—The diagnostic basics for stratigraphic traps. Geophysics39, 770–780.
     [Google Scholar]
  10. GisolfA. and VerschuurD.J.2010. The principles of quantitative acoustical imaging. EAGE Publications B.V.
  11. KehoT.H. and KelamisP.G.2012. Focus on land seismic technology: the near‐surface challenge. The Leading Edge31, 62–68.
     [Google Scholar]
  12. KelamisP.G., EricksonK.E., VerschuurD.J. and BerkhoutA.J.2002. Velocity independent redatuming: a new approach to the near‐surface problem in land seismic data processing. The Leading Edge21, 730–735.
     [Google Scholar]
  13. LokshtanovD. and LotsbergJ.K.2009. 3D wave‐equation redatuming of common azimuth data. 79th SEG annual international meeting, Expanded Abstracts, 2874–2878.
     [Google Scholar]
  14. MarsdenD.1993a. Static corrections—a review, Part I. The Leading Edge12, 43–48.
     [Google Scholar]
  15. MarsdenD.1993b. Static corrections—a review, Part II. The Leading Edge12, 115–120.
     [Google Scholar]
  16. MarsdenD.1993c. Static corrections—a review, Part III. The Leading Edge12, 210–216.
     [Google Scholar]
  17. SunY. and VerschuurD.J.2012a. The solution of the near‐surface problem by 3D near‐surface layer replacement. 82nd SEG annual international meeting, Expanded Abstracts, NS P1.5.
  18. SunY. and VerschuurD.J.2012b. Solution to the 3D complex near‐surface problem by estimation of propagation operators. 74th EAGE annual international meeting, Expanded Abstracts, C016.
  19. SunY. and VerschuurD.2014. A self‐adjustable input genetic algorithm for the near‐surface problem in geophysics. IEEE Transactions on Evolutionary Computation18, 309–325.
     [Google Scholar]
  20. SunY., VerschuurE. and VrolijkJ.W.2014. Solving the complex near‐surface problem using 3D data‐driven near‐surface layer replacement. Geophysical Prospecting62, 491–506.
     [Google Scholar]
  21. TanerM.T., KoehlerF. and AlhilaliK.A.1974. Estimation and correction of near‐surface time anomalies. Geophysics39, 441–463.
     [Google Scholar]
  22. TegtmeierS., GisolfA. and VerschuurD.J.2004. 3D sparse‐data Kirchhoff redatuming. Geophysical Prospecting52, 509–521.
     [Google Scholar]
  23. ThorbeckeJ.W., WapenaarK. and SwinnenG.2004. Design of one‐way wavefield extrapolation operators, using smooth functions in WLSQ optimization. Geophysics69, 1037–1045.
     [Google Scholar]
  24. VerschuurD.J., VrolijkJ.W. and TsingasC.2012. 4D reconstruction of wide azimuth (WAZ) data using sparse inversion of hybrid radon transforms. 82nd SEG annual international meeting, Expanded Abstracts, SPIR1.6.
     [Google Scholar]
  25. WatersK.H.1987. Reflection Seismology?—A Tool for Energy Resource Exploration. John Wiley and Sons.
     [Google Scholar]
  26. YilmazO. and LucasD.1986. Prestack layer replacement. Geophysics51, 1355–1369.
     [Google Scholar]
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Research Note: Near‐surface layer replacement for sparse data: is interpolation needed?
Geophysical Prospecting 65, 1694 (2017); https://doi.org/10.1111/1365-2478.12501
/content/journals/10.1111/1365-2478.12501
/content/journals/10.1111/1365-2478.12501
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  • Article Type: Research Article
Keyword(s): CFP; Imaging; Layer replacement; Near‐surface; Redatuming

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