1887
Volume 72, Issue 9
  • E-ISSN: 1365-2478

Abstract

Abstract

Time domain finite difference methods have been widely used for wave‐equation modelling in exploration geophysics over many decades. When using time domain finite difference methods, it is desirable to use a larger time step so as to save numerical simulation time. The Lax–Wendroff method is one of the well‐known methods to allow larger time step without increasing the time grid dispersion. However, the Lax–Wendroff method suffers from more time consumption because there are more spatial derivatives required to be approximated by the finite difference operators. We propose a new finite difference scheme for the Lax–Wendroff method so as to reduce the numerical simulation time. Then we determine the finite difference operator coefficients and analyse the dispersion error of the proposed finite difference scheme for the Lax–Wendroff method. At last, we apply the proposed finite difference scheme for the Lax–Wendroff method to different velocity models. The numerical simulation results indicate that the proposed finite difference scheme for the Lax–Wendroff method can effectively suppress time grid dispersion and is more efficient compared to the traditional finite difference scheme for the Lax–Wendroff method.

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2024-10-11
2026-01-20
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References

  1. Chen, G., Wang, Y., Wang, Z. & Zhang, S. (2020) Dispersion‐relationship‐preserving seismic modelling using the cross‐rhombus stencil with the finite‐difference coefficients solved by an over‐determined linear system. Geophysical Prospecting, 68(6), 1771–1792.
    [Google Scholar]
  2. Chen, J.B. (2007) High‐order time discretizations in seismic modeling. Geophysics, 72(5), SM115–SM122.
    [Google Scholar]
  3. Chen, J.B. (2011) A stability formula for Lax–Wendroff methods with fourth‐order in time and general‐order in space for the scalar wave equation. Geophysics, 76(2), T37–T42.
    [Google Scholar]
  4. Chu, C. & Stoffa, P.L. (2012) Determination of finite‐difference weights using scaled binomial windows. Geophysics, 77(3), W17–W26.
    [Google Scholar]
  5. Dablain, M.A. (1986) The application of high‐order differencing to the scalar wave equation. Geophysics, 51(1), 54–66.
    [Google Scholar]
  6. Du, Q.Z., Li, B. & Hou, B. (2009). Numerical modeling of seismic wavefields in transversely isotropic medium with a compact staggered‐grid finite difference scheme. Applied Geophysics, 6(1), 42–49.
    [Google Scholar]
  7. Etgen, J.T. (2007) A tutorial on optimizing time domain finite‐difference schemes: “Beyond Holberg”. Stanford Exploration Project Report, 129, 33–43.
    [Google Scholar]
  8. Han, Y., Wu, B., Yao, G., Ma, X. & Wu, D. (2022) Eliminate time dispersion of seismic wavefield simulation with semi‐supervised deep learning. Energies, 15(20), 7701.
    [Google Scholar]
  9. Jastram, C. & Behle, A. (1993) Accurate finite‐difference operators for modelling the elastic wave equation. Geophysical Prospecting, 41(4), 453–458.
    [Google Scholar]
  10. Jing, H., Chen, Y., Wang, J. & Xue, W. (2019). A highly efficient time–space‐domain optimized method with Lax–Wendroff type time discretization for the scalar wave equation. Journal of Computational Physics, 393, 1–28.
    [Google Scholar]
  11. Koene, E.F., Robertsson, J.O., Broggini, F. & Andersson, F. (2018) Eliminating time dispersion from seismic wave modeling. Geophysical Journal International, 213(1), 169–180.
    [Google Scholar]
  12. Li, W.D., Meng, X.H., Liu, H., Wang, J., Gui, S., Xiu, C.X. & Wang, Z.Y. (2020) Optimal finite‐difference schemes for elastic wave based on improved cosine‐combined window function. Exploration Geophysics, 52(2), 221–234.
    [Google Scholar]
  13. Liang, W., Wang, Y., Yang, C. & Liu, H. (2013) Acoustic wave equation modeling with new time–space domain finite difference operators. Chinese Journal of Geophysics, 56(6), 840–850.
    [Google Scholar]
  14. Liang, W.Q., Wang, Y.F. & Yang, C.C. (2014) Comparison of numerical dispersion in acoustic finite‐difference algorithms. Exploration Geophysics, 46(2), 206–212.
    [Google Scholar]
  15. Liang, W., Wang, Y. & Yang, C. (2015) Determining finite difference weights for the acoustic wave equation by a new dispersion‐relationship‐preserving method. Geophysical Prospecting, 63(1), 11–22.
    [Google Scholar]
  16. Liang, W., Wu, X., Wang, Y. & Yang, C. (2018) A simplified staggered‐grid finite‐difference scheme and its linear solution for the first‐order acoustic wave‐equation modeling. Journal of Computational Physics, 374, 863–872.
    [Google Scholar]
  17. Liang, W., Wang, Y., Cao, J. & Iturrarán‐Viveros, U. (2022) A hybrid explicit implicit staggered grid finite‐difference scheme for the first‐order acoustic wave equation modeling. Scientific Reports, 12(1), 10967.
    [Google Scholar]
  18. Liu, Y. & Sen, M.K. (2009) A new time–space domain high‐order finite‐difference method for the acoustic wave equation. Journal of Computational Physics, 228(23), 8779–8806.
    [Google Scholar]
  19. Liu, Y. & Sen, M.K. (2010) Acoustic VTI modeling with a time–space domain dispersion‐relation‐based finite‐difference scheme. Geophysics, 75(3), A11–A17.
    [Google Scholar]
  20. Liu, Y. & Sen, M.K. (2011) Scalar wave equation modeling with time–space domain dispersion‐relation‐based staggered‐grid finite‐difference schemes. Bulletin of the Seismological Society of America, 101(1), 141–159.
    [Google Scholar]
  21. Liu, Y. & Sen, M.K. (2013) Time–space domain dispersion‐relation‐based finite‐difference method with arbitrary even‐order accuracy for the 2D acoustic wave equation. Journal of Computational Physics, 232(1), 327–345.
    [Google Scholar]
  22. Liu, H. & Zhang, H. (2019) Reducing computation cost by Lax–Wendroff methods with fourth‐order temporal accuracy. Geophysics, 84(3), T109–T119.
    [Google Scholar]
  23. Liu, H., & Luo, Y. (2019). Comparing four numerical stencils for elastic wave simulation. In SEG Technical Program Expanded Abstracts 2019 (pp. 3745–3749). Society of Exploration Geophysicists.
    [Google Scholar]
  24. Saenger, E.H. & Shapiro, S.A. (2002) Effective velocities in fractured media: a numerical study using the rotated staggered finite‐difference grid. Geophysical Prospecting, 50(2), 183–194.
    [Google Scholar]
  25. Stork, C. (2013) Eliminating nearly all dispersion error from FD modeling and RTM with minimal cost increase. In: 75th EAGE conference & exhibition incorporating SPE EUROPEC 2013. Bunnik, European Association of Geoscientists & Engineers. pp. cp‐348.
  26. Tan, S. & Huang, L. (2014) An efficient finite‐difference method with high‐order accuracy in both time and space domains for modelling scalar‐wave propagation. Geophysical Journal International, 197(2), 1250–1267.
    [Google Scholar]
  27. Teixeira, F.L., Sarris, C., Zhang, Y., Na, D.Y., Berenger, J.P., Su, Y. & Simpson, J.J. (2023) Finite‐difference time‐domain methods. Nature Reviews Methods Primers, 3(1), 75.
    [Google Scholar]
  28. Virieux, J., Calandra, H. & Plessix, R.É. (2011) A review of the spectral, pseudo‐spectral, finite‐difference and finite‐element modelling techniques for geophysical imaging. Geophysical Prospecting, 59(5), 794–813.
    [Google Scholar]
  29. Wang, Y.F., Liang, W.Q., Nashed, Z., Li, X., Liang, G.H. & Yang, C.C. (2014). Seismic modeling by optimizing regularized staggered‐grid finite‐difference operators using a time–space domain dispersion relationship preserving method. Geophysics, 79(5), T277–T285.
    [Google Scholar]
  30. Wang, J., Liu, Y. & Zhou, H. (2022) High temporal accuracy elastic wave simulation with new time–space domain implicit staggered‐grid finite‐difference schemes. Geophysical Prospecting, 70(8), 1346–1366.
    [Google Scholar]
  31. Xu, T., Yan, H., Yu, H., & Zhang, Z. (2023). Removing Time Dispersion from Elastic WaveModeling with the pix2pix Algorithm Based on cGAN. Remote Sensing, 15(12), 3120
    [Google Scholar]
  32. Yang, L., Yan, H. & Liu, H. (2016) Optimal implicit staggered‐grid finite‐difference schemes based on the sampling approximation method for seismic modelling. Geophysical Prospecting, 64(3), 595–610.
    [Google Scholar]
  33. Yee, K. (1966) Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media. IEEE Transactions on Antennas and Propagation, 14(3), 302–307.
    [Google Scholar]
  34. Zhang, J.H. & Yao, Z.X. (2013) Optimized explicit finite‐difference schemes for spatial derivatives using maximum norm. Journal of Computational Physics, 250, 511–526.
    [Google Scholar]
  35. Zhang, L., RectorIII, J.W. & Hoversten, G.M. (2005) Finite‐difference modelling of wave propagation in acoustic tilted TI media. Geophysical Prospecting, 53(6), 843–852.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): acoustics; Computing aspects; Modelling; Numerical study; Wave

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