1887
Volume 73, Issue 3
  • E-ISSN: 1365-2478

Abstract

Abstract

The computational efficiency of cross‐correlation reflection waveform inversion can be improved by utilizing the outcomes of reverse time migration instead of the least‐squares reverse time migration results in each iteration. However, the inversion effect of cross‐correlation reflection waveform inversion needs to be optimized as the inversion results may not be optimal. The conventional cross‐correlation operator tends to produce interference values that can compromise the precision of time‐shift estimations. Moreover, the time shift obtained through dynamic image warping can exhibit spiky disturbances, making it difficult to determine accurate time‐shift values. These challenges can cause the inversion process to converge to a local minimum, thereby affecting the quality of the inversion results. To address these limitations, this paper proposes a new approach called cross‐correlation reflection waveform inversion based on dynamic image warping. The proposed method integrates a weighted norm derived from dynamic image warping to effectively regulate the time‐shift values throughout the inversion process. The effectiveness of the proposed cross‐correlation reflection waveform inversion based on the dynamic image warping method is validated through simulations using a simple two‐layer model and a resampled Sigsbee 2A model. A comparative analysis is performed to evaluate the performance of cross‐correlation reflection waveform inversion based on dynamic image warping in mitigating cross‐correlation interference, demonstrating its superior capability compared to the conventional cross‐correlation reflection waveform inversion method.

© 2025 European Association of Geoscientists & Engineers. © 2024 European Association of Geoscientists & Engineers.
Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.13599
2025-02-27
2026-02-15

  • From This Site

    /content/journals/10.1111/1365-2478.13599
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Chi, B., Dong, L. & Liu, Y. (2014) Full waveform inversion method using envelope objective function without low frequency data. Journal of Applied Geophysics, 109, 36–46.
     [Google Scholar]
  2. Chi, B., Dong, L. & Liu, Y. (2015) Correlation‐based reflection full‐waveform inversion. Geophysics, 80(4), R189–R202.
     [Google Scholar]
  3. Cui, C., Huang, J., Guo, Y., et al. (2017) Double‐difference wave‐equation reflection traveltime inversion. In: SEG technical program expanded abstracts. Houston, TX: Society of Exploration Geophysicists, pp. 1476–1480.
     [Google Scholar]
  4. Köhn, D. (2011) Time domain 2D elastic full waveform tomography. PhD thesis. University of Kiel, Kiel, Germany.
     [Google Scholar]
  5. Hale, D. (2013) Dynamic warping of seismic images. Geophysics, 78, S105–S115.
     [Google Scholar]
  6. Fu, J., Tian, K., Yu, H. et al. (2016) The study of correlation‐based reflections inversion in acoustic media. Geophysical Prospecting for Petroleum, 55(6), 800–807.
     [Google Scholar]
  7. Fichtner, A., Kennett, B.L.N., Igel, H. & Bunge, H.‐P. (2008) Theoretical background for continental and global‐scale full waveform inversion in the time‐frequency domain. Geophysical Journal International, 175(2), 665–685.
     [Google Scholar]
  8. Hu, W., Abubakar, A., Habashy, T.M. & Liu, J. (2011) Preconditioned non‐linear conjugate gradient method for frequency domain full‐waveform seismic inversion. Geophysical Prospecting, 59(3), 477–491.
     [Google Scholar]
  9. Lailly, P. (1983) The seismic inverse problem as a sequence of before stack migrations. In Conference on inverse scattering, theory, and application, Society for Industrial and Applied Mathematics, Expanded Abstracts. Philadelphia, PA: SIAM, pp. 206–220.
  10. Liang, Z., Zheng, Y., He, C., Wu, G., Zhang, X. & Gai, Z. (2021) Elastic reflection traveltime inversion with pure‐wave propagators. Geophysics, 86(4), R639–R658.
     [Google Scholar]
  11. Luo, Y. & Schuster, G.T. (1991) Wave‐equation traveltime inversion. Geophysics, 56(5), 645–653.
     [Google Scholar]
  12. Luo, Y., Ma, Y., Wu, Y., Liu, H. & Cao, L. (2016) Full‐traveltime inversion. Geophysics, 81(5), R261–R274.
     [Google Scholar]
  13. Mora, P. (1987) Nonlinear two‐dimensional elastic inversion of multioffset seismic data. Geophysics, 52(9), 1211–1228.
     [Google Scholar]
  14. Pan, G. & Phinney, R. (1986) Full waveform inversion of p‐τ seismogram. In: SEG technical program expanded abstracts. Houston, TX: SEG, pp. 614–617.
     [Google Scholar]
  15. Qu, Y., Guan, Z., Li, J. & Li, Z. (2020) Fluid‐solid coupled full‐waveform inversion in the curvilinear coordinates for ocean‐bottom cable data. Geophysics, 85(3), R113–R133.
     [Google Scholar]
  16. Shipp, R.M. & Singh, S.C. (2002) Two‐dimensional full wavefield inversion of wide‐aperture marine seismic streamer data. Geophysical Journal International, 151(2), 325–344.
     [Google Scholar]
  17. Shah, N., Warner, M. & Nangoo, T. et al. (2012) Quality assured full‐waveform inversion: ensuring starting model adequacy. In: SEG technical program expanded abstracts. Houston, TX: Society of Exploration Geophysicists, pp. 1–5.
     [Google Scholar]
  18. Sun, S., Hu, G., He, B. et al. (2021) Reflection waveform inversion and its application to onshore seismic data. Progress in Geophysics, 36(6), 2566–2572.
     [Google Scholar]
  19. Tarantola, A. (1984) Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49(8), 1259–1266.
     [Google Scholar]
  20. Tarantola, A. (1986) A strategy for nonlinear inversion of seismic reflection data. Geophysics, 51(10), 1893–1903.
     [Google Scholar]
  21. Tristan, V. (2010) Correlation‐based seismic velocity inversion. PhD thesis. Delft University of Technology, Delft, The Netherlands.
     [Google Scholar]
  22. Virieux, J. & Operto, S. (2009) An overview of full‐waveform inversion in exploration geophysics. Geophysics, 74(6), WCC1–WCC26.
     [Google Scholar]
  23. Weibull, W., Arntsen, B. & Nilsen, E. (2012) Initial velocity models for full waveform inversion. In: SEG Technical program expanded abstracts. Houston, TX: Society of Exploration Geophysicists, pp. 1–4.
     [Google Scholar]
  24. Wang, T., Cheng, J., Guo, Q. & Wang, C. (2018) Elastic wave‐equation‐based reflection kernel analysis and traveltime inversion using wave mode decomposition. Geophysical Journal International, 215(1), 450–470.
     [Google Scholar]
  25. Wang, T., Cheng, J. & Geng, J. (2022a) Wave equation reflection traveltime inversion using Gauss–Newton optimization. IEEE Geoscience and Remote Sensing Letters, 19, 1–5.
     [Google Scholar]
  26. Wang, T.‐F., Cheng, J.‐B. & Geng, J.‐H. (2022b) Reflection‐based traveltime and waveform inversion with second‐order optimization. Petroleum Science, 19(4), 1582–1591.
     [Google Scholar]
  27. Xu, S., Wang, D., Chen, F. et al. (2012) Inversion on reflected seismic wave. Paper presented at the 82nd Annual International Meeting, 1–7.
  28. Yao, G. & Wu, D. (2017) Reflection full waveform inversion. Science China Earth Sciences, 60, 1783–1794.
     [Google Scholar]
  29. Yao, G., Wu, D. & Wang, S.‐X. (2020) A review on reflection‐waveform inversion. Petroleum Science, 17, 334–351.
     [Google Scholar]
  30. Zhang, Y., Xu, S., Bleistein, N. & Zhang, G. (2007) True‐amplitude, angle‐domain, common‐image gathers from one‐way wave‐equation migrations. Geophysics, 72, S49–S58.
     [Google Scholar]
/content/journals/10.1111/1365-2478.13599
Loading
Cross‐correlation reflection waveform inversion based on a weighted norm of the time‐shift obtained by dynamic image warping
Geophysical Prospecting 73, 910 (2025); https://doi.org/10.1111/1365-2478.13599
/content/journals/10.1111/1365-2478.13599
/content/journals/10.1111/1365-2478.13599
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): cross‐correlation reflection waveform inversion; dynamic image warping; weighted norm of the time shift

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