Joint 3D traveltime calculation based on fast marching method and wavefront construction

Sun, Hui; Sun, Jiyu; Sun, Zhifu; Han, Fuxing; Liu, Zhiqiang; Liu, Mingchen; Gao, Zhenghui; Xiulin, Shi

doi:10.1007/s11770-017-0611-3

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…Fast marching method retrieves the traveltimes of the grid points by solving the eikonal equation (Hui et al, 2017). The calculation of the traveltimes to every grid point can be expressed in terms of how we track the evolution of propagating seismic wavefront from source through all over the medium (Rawlinson & Sambridge, 2005) by directly imitating the propagating wavefront.…”

Section: Fast Marching Methods Of Finite Difference Eikonal Solvermentioning

confidence: 99%

“…The narrow band is built around the traveltime wavefront as illustrated in Figure 1. To improve computing efficiency, heapsort is used to select the lowest traveltime grid value within the narrow band and stored it at the top of the heap (Alashloo & Ghosh, 2017;Hui et al, 2017). The wavefront always propagates using the minimum of known traveltime value within the heap to calculate the next unknown traveltimes.…”

Section: Fast Marching Methods Of Finite Difference Eikonal Solvermentioning

confidence: 99%

See 1 more Smart Citation

Application Of Finite Difference Eikonal Solver For Traveltime Computation In Forward Modeling And Migration

Majdi¹,

Alashloo²,

Hassan³

et al. 2021

BGSM

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Traveltime is one of the propagating wave’s components. As the wave propagates further, the traveltime increases. It can be computed by solving wave equation of the ray path or the eikonal wave equation. Accurate method of computing traveltimes will give a significant impact on enhancing the output of seismic forward modeling and migration. In seismic forward modeling, computation of the wave’s traveltime locally by ray tracing method leads to low resolution of the resulting seismic image, especially when the subsurface is having a complex geology. However, computing the wave’s traveltime with a gridding scheme by finite difference methods able to overcomes the problem. This paper aims to discuss the ability of ray tracing and fast marching method of finite difference in obtaining a seismic image that have more similarity with its subsurface model. We illustrated the results of the traveltime computation by both methods in form of ray path projection and wavefront. We employed these methods in forward modeling and compared both resulting seismic images. Seismic migration is executed as a part of quality control (QC). We used a synthetic velocity model which based on a part of Malay Basin geology structure. Our findings shows that the seismic images produced by the application of fast marching finite difference method has better resolution than ray tracing method especially on deeper part of subsurface model.

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Section: Fast Marching Methods Of Finite Difference Eikonal Solvermentioning

confidence: 99%

Section: Fast Marching Methods Of Finite Difference Eikonal Solvermentioning

confidence: 99%

Application Of Finite Difference Eikonal Solver For Traveltime Computation In Forward Modeling And Migration

Majdi¹,

Alashloo²,

Hassan³

et al. 2021

BGSM

View full text Add to dashboard Cite

show abstract

Travel time calculation of seismic waves on complex surfaces using the group marching method

Zhang,

Meng,

Zhao

et al. 2024

Appl. Geophys.

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Research on the generation method of seawater sound velocity model based on Perlin noise

Chang,

Han,

Sun

et al. 2024

Acta Oceanol. Sin.

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Joint 3D traveltime calculation based on fast marching method and wavefront construction

Cited by 9 publications

References 16 publications

Application Of Finite Difference Eikonal Solver For Traveltime Computation In Forward Modeling And Migration

Application Of Finite Difference Eikonal Solver For Traveltime Computation In Forward Modeling And Migration

Travel time calculation of seismic waves on complex surfaces using the group marching method

Research on the generation method of seawater sound velocity model based on Perlin noise

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