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Volume 67, Issue 7
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

We propose to use pattern‐guided dip estimation to mitigate aliasing problem that possibly exists in structure‐oriented data processing. A straightforward and effective approach of generating pattern‐guided dip is presented, which generally involves three rounds of standard dip estimation with plane‐wave destruction filters. The first use of plane‐wave destruction filter is for generating a mask operator distinguishing aliased and non‐aliased data, based on measuring the uncertainty of the first dip estimation. The second plane‐wave destruction filter uses the aliasing‐free portions of the input data, and the dip in the aliasing‐affected area is automatically padded with the ‘pattern’ dip by smoothing regularization. The result of the second plane‐wave destruction filter is used as the initial dip for the inversion of the last‐pass plane‐wave destruction filter, which produces a pattern‐guided dip. For some specific applications, the mask operator can be easily generated through other methods, and we can skip the first dip estimation. Two numerical examples, related to picking information using predictive painting and structure‐oriented interpolation, respectively, demonstrate that our pattern‐guided dip can effectively mitigate the aliasing problem in structure‐oriented data processing.

© 2019 European Association of Geoscientists & Engineers © 2019 European Association of Geoscientists & Engineers
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/content/journals/10.1111/1365-2478.12798
2019-05-15
2024-04-23

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References

  1. ChenY., ChenH., XiangK. and ChenX.2016. Geological structure guided well log interpolation for high‐fidelity full waveform inversion. Geophysical Journal International207, 1313–1331.
     [Google Scholar]
  2. ClaerboutJ.F.1992. Earth Soundings Analysis: Processing versus Inversion. Blackwell Scientific Publications.
     [Google Scholar]
  3. ClaerboutJ.F.2006. Basic Earth Imaging. Stanford Exploration Project.
     [Google Scholar]
  4. FehmersG.C. and HockerC.F.W.2003. Fast structural interpretation with structure‐oriented filtering. Geophysics68, 1286–1293.
     [Google Scholar]
  5. FomelS.2002. Applications of plane‐wave destruction filters. Geophysics67, 1946–1960.
     [Google Scholar]
  6. FomelS.2007. Shaping regularization in geophysical‐estimation problems. Geophysics72, R29–R36.
     [Google Scholar]
  7. FomelS.2010. Predictive painting of 3‐D seismic volumes. Geophysics75, A25–A30.
     [Google Scholar]
  8. FomelS.2016. Fast scattered data gridding. 86th Annual International Meeting, SEG, Expanded Abstracts, 4059–4063.
  9. FomelS. and GuittonA.2006. Regularizing seismic inverse problems by model reparameterization using plane‐wave destruction. Geophysics71, A43–A47.
     [Google Scholar]
  10. FomelS., SavaP., VladI., LiuY. and BashkardinV.2013. Madagascar: open‐source software project for multidimensional data analysis and reproducible computational experiments. Journal of Open Research Software1, e8.
     [Google Scholar]
  11. GuittonA., AyeniG. and DíazE.2012. Constrained full‐waveform inversion by model reparameterization. Geophysics77, R117–R127.
     [Google Scholar]
  12. GulunayN., MagesanM. and RoendeH.H.2007. Gather flattening. The Leading Edge26, 1538–1543.
     [Google Scholar]
  13. HaleD.2009. Structure‐oriented smoothing and semblance. CWP Report 635.
  14. HestenesM.R. and StiefelE.1952. Methods of conjugate gradients for solving linear systems. Journal of Research of the National Bureau of Standards49, 409–436.
     [Google Scholar]
  15. KarimiP. and FomelS.2015. Image guided well log interpolation using predictive painting. 85th Annual International Meeting, SEG, Expanded Abstracts, 2786–2790.
  16. LiuJ. and HanW.2010. Automatic event picking and tomography on 3D RTM angle gathers. 80th Annual International Meeting, SEG, Expanded Abstracts, 4263–4268.
  17. LiuY., FomelS. and LiuG.2010. Nonlinear structure‐enhancing filtering using plane‐wave prediction. Geophysical Prospecting58, 415–427.
     [Google Scholar]
  18. LomaskJ., GuittonA., FomelS., ClaerboutJ. and ValencianoA.A.2006. Flattening without picking. Geophysics71, P13–P20.
     [Google Scholar]
  19. MarfurtK.J.2006. Robust estimates of 3D reflector dip and azimuth. Geophysics71, P29–P40.
     [Google Scholar]
  20. ShahH.2007. The 2007 BP anisotropic velocity analysis benchmark. Presented at the 70th EAGE Annual Meeting, workshop.
  21. ShiY., WuX. and FomelS.2017. Well‐log interpolation guided by geologic distance. 87th Annual International Meeting, SEG, Expanded Abstracts, 1939–1944.
  22. StarkT.2004. Relative geologic time (age) volume: relating every seismic sample to a geologically reasonable horizon. The Leading Edge23, 928–932.
     [Google Scholar]
  23. SwindemanR. and FomelS.2015. Seismic data interpolation using plane‐wave shaping regularization. 85th Annual International Meeting, SEG, Expanded Abstracts, 3853–3858.
  24. WuX.2017. Building 3D subsurface models conforming to seismic structural and stratigraphic features, Geophysics82, IM21–IM30.
     [Google Scholar]
  25. WuX. and HaleD.2015. Horizon volumes with interpreted constraints. Geophysics80, no. 2, IM21–IM33.
     [Google Scholar]
  26. WuX. and HaleD.2016. Automatically interpreting all faults, unconformities, and horizons from 3D seismic images. Interpretation4, no. 2, T227–T237.
     [Google Scholar]
  27. WuX. and JansonX.2017. Directional structure tensors in estimating seismic structural and stratigraphic orientations. Geophysical Journal International210, no. 1, 534–548.
     [Google Scholar]
  28. XueZ., ChenY., FomelS. and SunJ.2016. Seismic imaging of incomplete data and simultaneous‐source data using least‐squares reverse‐time migration with shaping regularization. Geophysics81, no. 1, S11–S20.
     [Google Scholar]
  29. XueZ., WuX. and FomelS.2018. Predictive painting across faults. Interpretation6, no. 2, T449–T455.
     [Google Scholar]
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Pattern‐guided dip estimation with plane‐wave destruction filters
Geophysical Prospecting 67, 1798 (2019); https://doi.org/10.1111/1365-2478.12798
/content/journals/10.1111/1365-2478.12798
/content/journals/10.1111/1365-2478.12798
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  • Article Type: Research Article
Keyword(s): Data processing; Inverse problem; Noise; Velocity analysis

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