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Abstract

Summary

Major challenges in seismic imaging are the determination of accurate migration velocities and the proper handling of higher-order scattering energy modes. The Joint Migration Inversion (JMI) technology is developed to address these challenges and offers an advanced imaging algorithm that utilizes all energy modes available in the measured seismic data (i.e. primaries and multiples) via an iterative inversion process. Especially for land seismic data, in which surface multiples often play a less dominant role, the internal multiples, mostly generated at strong contrasts in the overburden, create a significant problem in defining and delimitating the reservoir characteristics. Usually, the main issue will be the absence of the primary reflections of the reflectors in the shallow subsurface, which complicates the overall imaging process. In this abstract we present a case-study of the application of the JMI algorithm to a 2D seismic line from the Netherlands. This data-driven approach, where the full wavefield including surface-related and internal multiples, is able to adequately explain and remove the cross-talk of the higher-order scatterings in the deep target areas.

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/content/papers/10.3997/2214-4609.2025101444
2025-06-02
2026-02-09
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References

  1. Berkhout, A. J., 2014a, Review paper: An outlook on the future of seismic imaging, Part I: forward and reverse modelling. Geoph. Prosp., 62(5): 911–930.
    [Google Scholar]
  2. Berkhout, A. J., 2014b, Review paper: An outlook on the future of seismic imaging, Part II: Full-wavefield migration. Geoph. Prosp., 62(5): 931–949.
    [Google Scholar]
  3. Berkhout, A. J.2014c. Review paper: An outlook on the future of seismic imaging, Part III: Joint migration inversion. Geoph. Prosp., 62(5): 950–971.
    [Google Scholar]
  4. Davydenko, M. and D.J.Verschuur, 2017. Full-wavefield migration: using surface and internal multiples in imaging. Geoph. Prosp., 65(1): 7–21.
    [Google Scholar]
  5. El Marhfoul, B. and D.J.Verschuur, 2017, 3D reflectivity-guided joint migration inversion of multi-well borehole data. Abu Dhabi. EAGE, Eur. Ass. of Geosc. and Eng., Expanded abstracts.
    [Google Scholar]
  6. Rehling, J., Zaalberg-Metselaar, G., Peenstra, R., Van den Akker, J. and ter Borgh, M., 2023, The Dutch SCAN Geothermal Exploration Programme — The first three years of 2D seismic acquisition and (re)processing, First Break, 41(1), 33–43
    [Google Scholar]
  7. Verschuur, D. J., X.R.Staal and A.J.Berkhout2016, Joint migration inversion: Simultaneous determination of velocity fields and depth images using all orders of scattering. The Leading Edge, 35: 1037–1046.
    [Google Scholar]
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