1887
Volume 42, Issue 12
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

Seismic migration is essential for converting seismic data into accurate subsurface images. The computational cost of migration is influenced by the migration algorithm, data dimensionality, and geological medium properties. Among the various methods, Reverse Time Migration (RTM) based on the two-way wave equation is regarded as the most precise for handling complex subsurface conditions. However, the complexity and computational demands of RTM increase significantly with transitions from isotropic to anisotropic media and from 2D to 3D data. Additionally, the choice of imaging aperture strongly affects RTM’s computational cost, making an optimal aperture crucial for accurately imaging subsurface features while managing resources. In this study, we investigate 2D TTI and 3D isotropic RTM, focusing on the impact of shot-centric and fold-centric aperture selection on computational efficiency and imaging accuracy using the in-house developed SeisRTM software suite. Experiments on synthetic and real field data show that the fold-centric aperture reduces memory and compute time by up to 1.4x compared to the shot-centric aperture while maintaining comparable image quality. These findings highlight fold-centric apertures as a computationally efficient choice for large-scale seismic imaging, especially in resource-intensive environments. SeisRTM’s capabilities in high-frequency migration, large dataset handling, and target-oriented migration were instrumental in this study, highlighting it as an efficient tool for large-scale RTM applications.

EAGE Publications BV
Loading

Article metrics loading...

/content/journals/10.3997/1365-2397.fb2024104
2024-12-01
2026-02-06

  • From This Site

    /content/journals/10.3997/1365-2397.fb2024104
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Baysal, E., Kosloff, D. D., and Sherwood, J. W. C. [1983]. Reverse time migration. Geophysics, 48(11), 1514–1524.
     [Google Scholar]
  2. Claerbout, J. F. [1971]. Toward a unified theory of reflector mapping. Geophysics, 36(3), 467–481.
     [Google Scholar]
  3. Fletcher, R. P., Du, X., and Fowler, P. J. [2009]. Reverse time migration in tilted transversely isotropic TTI media. Geophysics, 74(6), WCA179–WCA187.
     [Google Scholar]
  4. Grechka, V. and Tsvankin, I. [1998]. 3-D moveout inversion in azimuthally anisotropic media with lateral velocity variation: Theory and a case study. Geophysics, 63(3), 1079–1092.
     [Google Scholar]
  5. Hongchuan, S., LianjieH., and Michael C.Fehler. [2002]. Kirchhoff migration with an optimized imaging aperture. SEG Technical Program, Expanded Abstracts, 1125–1128.
     [Google Scholar]
  6. Komatitsch, D. and Martin, R. [2007]. An unsplit convolutional perfectly matched layer improved at grazing incidence for the seismic wave equation. Geophysics, 72(5), SM155–SM167.
     [Google Scholar]
  7. Pasalic, D. and McGarry, R. [2010]. Convolutional perfectly matched layer for isotropic and anisotropic acoustic wave equations. SEG Technical Program, Expanded Abstracts, 2925–2929.
     [Google Scholar]
  8. Rastogi, R., Srivastava, A., Gawade, M., Mangalath, N., Bathula, L., Mahajan, B., and Phadke, S. [2022]. 2D isotropic and vertical transversely isotropic RTM using seg HESS VTI model. Second International Meeting for Applied Geoscience & Energy, Expanded Abstracts, 2782–2786.
     [Google Scholar]
  9. Srivastava, A., Londhe, A. and Rastogi, R. [2017]. Parallel 2D and 3D acoustic modeling application for hybrid computing platform of PARAM Yuva II. National Conference on Parallel Computing Technologies (PARCOMPTECH), 1–8.
     [Google Scholar]
  10. Vestrum, R. W., Lawton, D. C., and Schmid, R. S. [1999]. Imaging structures below dipping TI. Geophysics, 64(4), 1239–1246.
     [Google Scholar]
  11. Virieux, J. [1986]. P-SV wave propagation in heterogeneous media: Velocity-stress finite-difference method. Geophysics, 51(4), 889–901.
     [Google Scholar]
  12. Whitmore, N. D. [1983]. Iterative depth migration by backward time propagation. SEG Technical Program, Expanded Abstracts.
     [Google Scholar]
  13. Yilmaz, Ö. [1987]. Seismic Data Processing. SEG.
  14. Zhang, Y. and Sun, J. [2009]. Practical issues in reverse time migration: True-amplitude gathers, noise removal, and harmonic-source encoding. Geophysics, 74(6), WCA29–WCA39.
     [Google Scholar]
/content/journals/10.3997/1365-2397.fb2024104
Loading
Optimal Imaging Aperture for computational efficiency in 2D and 3D Reverse Time Migration using SeisRTM
First Break 42, 53 (2024); https://doi.org/10.3997/1365-2397.fb2024104
/content/journals/10.3997/1365-2397.fb2024104
/content/journals/10.3997/1365-2397.fb2024104
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