Citation: | Zhang Z Y,Dong X,Zhao Y Q. 2025. qP wave ray tracing in FMM elastic TTI media based on phase velocity prediction. Acta Seismologica Sinica,47(2):153−168. DOI: 10.11939/jass.20230151 |
Fast and accurate calculation of travel time and ray path of seismic waves are two key problems in the field of seismic imaging and inversion. Solving these two problems plays a key role in the in-depth study of the fine structure of the Earth’s interior, the efficient exploration of the distribution of different types of resources underground, and even the scientific prediction of possible natural disasters. However, the situation becomes more complex when anisotropic media are involved. In such media, the velocity of seismic waves does not remain constant as in isotropic media, but varies with the propagation direction of seismic waves. This characteristic makes it a challenging task to calculate the propagation time of seismic waves and to determine the ray paths in anisotropic media. The conventional isotropic fast marching method (FMM) shows excellent performance advantages in solving the travel time problem in isotropic media. It is able to produce results relatively quickly and accurately due to its efficient algorithm and stable computational process. However, when we try to apply the method to solve the Eikonal equation under anisotropic conditions, we are faced with a critical aspect: the need for an accurate estimation of the phase velocity. This is because in an anisotropic medium, the velocity, anisotropy parameter and stratigraphic dip are not constant, and their dynamic changes make the calculation of the propagation direction complicated. The complex calculation of the propagation direction further increases the difficulty of phase velocity estimation. As a key parameter describing the velocity of seismic waves in a given direction, the accuracy of the phase velocity estimation is like the first domino in the chain, which directly affects the subsequent propagation time and the final accuracy of the ray path calculation. Any small deviation in the phase velocity estimate can be amplified in the subsequent calculations, leading to a large deviation of the final results from the actual situation.
In this paper, the fast marching method (FMM) for anisotropic media, which is a mature and widely used method, is taken as a solid basis for an in-depth study. Through rigorous theoretical derivation and practical verification, a phase velocity estimation method for tilted transversely isotropic (TTI) media and an anisotropic ray tracing method based on the principle of phase velocity prediction (PVP) are proposed. The method cleverly inherits the outstanding features of speed and stability of isotropic FMM, while maintaining the same level of computational accuracy as isotropic FMM, ensuring reliability and accuracy of results. A phase velocity prediction formula for TTI media has been derived. The formula can directly and accurately calculate the corresponding changes in phase velocity based on the changes in key factors such as seismic wave velocity, anisotropy parameter and stratigraphic dip. It greatly simplifies the complicated process of solving the anisotropic Eikonal equation and breaks the bottleneck of the previous methods in terms of computational efficiency and accuracy. It also greatly improves the computational efficiency of ray tracing, making the calculation process more efficient and faster, and at the same time significantly improves the computational accuracy, providing a more reliable and accurate basis for subsequent processing and interpretation of seismic exploration data.
In order to comprehensively and thoroughly verify the computational efficiency and accuracy of the method in practical applications, simulation experiments are carried out on a number of representative typical models. First, a unified theoretical model is used as the first test object. The model is relatively simple in structure and has a clear theoretical analytical solution, which can provide a clear reference standard for the accuracy verification of the method. Through comparative analyses, the results clearly show that the computational results obtained by the method are in high agreement with the theoretical results, which strongly verifies the excellent performance of the method in terms of accuracy. Then, the vertical transverse isotropy (VTI) reference model and Marmousi model are further tested. The results show that this method has small calculation error and good stability, and can be applied to ray tracing of complex structures. In addition, in order to further quantify the performance of the method, a multi-source near-surface numerical simulation test is also carried out. A model of complex near-surface structure is designed, and the wave fields of multiple sources are simulated by finite difference method. The seismic record of the model is simulated and its first arrival time is picked up. Then, ray tracing and travel time calculation are carried out by using this method, and the results are compared with those of finite difference simulation. The calculation errors and time of isotropic FMM and anisotropic PVP-FMM are statistically analyzed. The results show that both of them have the same calculation error, and the average error is very small. The error of anisotropic PAP-FMM is 43% less than that of anisotropic FMM without phase velocity prediction. A computer with 2.4 GHz CPU is used for ray tracing. The total time consumption of 913 source for isotropic FMM and PAP-FMM are 326 seconds and 372 seconds respectively. Because anisotropic FMM increases the calculation links of phase velocity and group velocity, the time consumption is increased by 10% compared with isotropic FMM. PVP-FMM added a phase angle prediction link, which increased the time consumption by 14%. In summary, this method has the same computational efficiency as isotropic FMM, and also has good adaptability and stability for near-surface models.
邴琦,孙章庆,韩复兴,王生奥. 2020. 地震波射线追踪方法综述:方法、分类、发展现状与趋势[J]. 地球物理学进展,35(2):536–547. doi: 10.6038/pg2020DD0003
|
Bing Q,Sun Z Q,Han F X,Wang S A. 2020. Review on the seismic wave ray tracing:Methods,classification,developmental present and trend[J]. Progress in Geophysics,35(2):536–547 (in Chinese).
|
邓怀群,刘雯林,赵正茂. 2000. 横向各向同性介质中纵波和转换横波的快速射线追踪方法[J]. 石油物探,39(4):1–11. doi: 10.3969/j.issn.1000-1441.2000.04.001
|
Deng H Q,Liu W L,Zhao Z M. 2000. Fast ray-tracing method for compressional and converted waves in transversely isotropic media[J]. Geophysical Prospecting for Petroleum,39(4):1–11 (in Chinese).
|
王东鹤,陈祖斌,刘昕,李娜. 2016. 地震波射线追踪方法研究综述[J]. 地球物理学进展,31(1):344–353. doi: 10.6038/pg20160140
|
Wang D H,Chen Z B,Liu X,Li N. 2016. Review of the seismic ray tracing method[J]. Progress in Geophysics,31(1):344–353 (in Chinese).
|
张美根,程冰洁,李小凡,王妙月. 2006. 一种最短路径射线追踪的快速算法[J]. 地球物理学报,49(5):1467–1474. doi: 10.3321/j.issn:0001-5733.2006.05.026
|
Zhang M G,Cheng B J,Li X F,Wang M Y. 2006. A fast algorithm of shortest path ray tracing[J]. Chinese Journal of Geophysics,49(5):1467–1474 (in Chinese).
|
赵爱华,张美根,丁志峰. 2006. 横向各向同性介质中地震波走时模拟[J]. 地球物理学报,49(6):1762–1769. doi: 10.3321/j.issn:0001-5733.2006.06.024
|
Zhao A H,Zhang M G,Ding Z F. 2006. Seismic traveltime computation for transversely isotropic media[J]. Chinese Journal of Geophysics,49(6):1762–1769 (in Chinese).
|
赵烽帆,马婷,徐涛. 2014. 地震波初至走时的计算方法综述[J]. 地球物理学进展,29(3):1102–1113. doi: 10.6038/pg20140313
|
Zhao F F,Ma T,Xu T. 2014. A review of the travel-time calculation methods of seismic first break[J]. Progress in Geophysics,29(3):1102–1113 (in Chinese).
|
赵后越,张美根. 2014. 起伏地表条件下各向异性地震波最短路径射线追踪[J]. 地球物理学报,57(9):2910–2917. doi: 10.6038/cjg20140916
|
Zhao H Y,Zhang M G. 2014. Tracing seismic shortest path rays in anisotropic medium with rolling surface[J]. Chinese Journal of Geophysics,57(9):2910–2917 (in Chinese).
|
周洪波,张关泉. 1994. 复杂构造区域的初至波走时计算[J]. 地球物理学报,37(4):515–520. doi: 10.3321/j.issn:0001-5733.1994.04.011
|
Zhou H B,Zhang G Q. 1994. Accurate calculation of first-arrival traveltime in the complex areas[J]. Chinese Journal of Geophysics,37(4):515–520 (in Chinese).
|
Alkhalifah T. 2000. An acoustic wave equation for anisotropic media[J]. Geophysics,65(4):1239–1250. doi: 10.1190/1.1444815
|
Fehler M,Keliher P J. 2011. SEAM PhaseⅠ :Challenges of Subsalt Imaging in Tertiary Basins,With Emphasis on Deepwater Gulf of Mexico[M]. Tulsa,Oklahoma:Society of Exploration Geophysicists:1−168.
|
Garabito G. 2021. Prestack seismic data interpolation and enhancement with common-reflection-surface-based migration and demigration[J]. Geophys Prospect,69(5):913–925. doi: 10.1111/1365-2478.13074
|
Grechka V,De La Pena A,Schisselé-Rebel E,Auger E,Roux P F. 2015. Relative location of microseismicity[J]. Geophysics,80(6):WC1–WC9. doi: 10.1190/geo2014-0617.1
|
Hao Q,Waheed U,Alkhalifah T. 2018. A fast sweeping scheme for P-wave traveltimes in attenuating VTI media[C]//Proceedings of the 80th EAGE Conference and Exhibition. Copenhagen,Denmark:EAGE:1−5.
|
Julian B R,Gubbins D. 1977. Three-dimensional seismic ray tracing[J]. J Geophys,43(1):95–113.
|
Klibanov M V,Li J Z,Zhang W L. 2023. Numerical solution of the 3-D travel time tomography problem[J]. J Comput Phys,476:111910. doi: 10.1016/j.jcp.2023.111910
|
Le Bouteiller P,Benjemaa M,Métivier L,Virieux J. 2019. A discontinuous Galerkin fast-sweeping Eikonal solver for fast and accurate traveltime computation in 3D tilted anisotropic media[J]. Geophysics,84(2):C107–C118. doi: 10.1190/geo2018-0555.1
|
Lelièvre P G,Farquharson C G,Hurich C A. 2011. Computing first-arrival seismic traveltimes on unstructured 3-D tetrahedral grids using the Fast Marching Method[J]. Geophys J Int,184(2):885–896. doi: 10.1111/j.1365-246X.2010.04880.x
|
Nakanishi I,Yamaguchi K. 1986. A numerical experiment on nonlinear image reconstruction from first-arrival times for two-dimensional island arc structure[J]. J Phys Earth,34(2):195–201. doi: 10.4294/jpe1952.34.195
|
Sethian J A. 1999. Fast marching methods[J]. SIAM Rev,41(2):199–235. doi: 10.1137/S0036144598347059
|
Sethian J A,Vladimirsky A. 2003. Ordered upwind methods for static Hamilton-Jacobi equations:Theory and algorithms[J]. SIAM J Numer Anal,41(1):325–363. doi: 10.1137/S0036142901392742
|
Sun H,Sun J G,Sun Z Q,Han F X,Liu Z Q,Liu M C,Gao Z H,Shi X L. 2017. Joint 3D traveltime calculation based on fast marching method and wavefront construction[J]. Appl Geophys,14(1):56–63. doi: 10.1007/s11770-017-0611-3
|
Thomsen L. 1986. Weak elastic anisotropy[J]. Geophysics,51(10):1954–1966. doi: 10.1190/1.1442051
|
Treister E,Haber E. 2016. A fast marching algorithm for the factored Eikonal equation[J]. J Comput Phys,324:210–225. doi: 10.1016/j.jcp.2016.08.012
|
Tro S,Evans T M,Aslam T D,Lozano E,Culp D B. 2023. A second-order distributed memory parallel fast sweeping method for the Eikonal equation[J]. J Comput Phys,474:111785. doi: 10.1016/j.jcp.2022.111785
|
Vidale J. 1988. Finite-difference calculation of travel times[J]. Bull Seismol Soc Am,78(6):2062–2076.
|
Waheed U B,Yarman C E,Flagg G. 2015. An iterative,fast-sweeping-based Eikonal solver for 3D tilted anisotropic media[J]. Geophysics,80(3):C49–C58. doi: 10.1190/geo2014-0375.1
|
Waheed U B,Alkhalifah T. 2017. A fast sweeping algorithm for accurate solution of the tilted transversely isotropic Eikonal equation using factorization[J]. Geophysics,82(6):WB1–WB8. doi: 10.1190/geo2016-0712.1
|
Waheed U B. 2020. A fast-marching Eikonal solver for tilted transversely isotropic media[J]. Geophysics,85(6):S385–S393. doi: 10.1190/geo2019-0799.1
|
Zhao H K. 2004. A fast sweeping method for Eikonal equations[J]. Math Comput,74(250):603–627. doi: 10.1090/S0025-5718-04-01678-3
|
Zhou B,Greenhalgh S A. 2005. ‘Shortest path’ ray tracing for most general 2D/3D anisotropic media[J]. J Geophys Eng,2(1):54–63. doi: 10.1088/1742-2132/2/1/008
|
1. |
韩伟,蒋兴超,王建强,李玉宏,郭望,张云鹏,陈高潮. 汉中地区构造演化及寒武系页岩气形成地质条件研究. 地质学报. 2024(06): 1829-1839 .
![]() | |
2. |
孟文,田涛,孙东生,杨跃辉,李冉,陈群策. 基于原位地应力测试及流变模型的深部泥页岩储层地应力状态研究. 地质力学学报. 2022(04): 537-549 .
![]() | |
3. |
程先琼,蒋科植. 基于深度降噪自编码神经网络的中国大陆地壳厚度反演. 地震学报. 2021(01): 34-47+136 .
![]() | |
4. |
王婷,延军平,李双双,万佳,张玉凤. 帕米尔高原Mw≥6.6级地震时间韵律特征. 高原地震. 2020(04): 6-16 .
![]() |