1887

Abstract

Summary

In exploration seismology, the macro-velocity model is often estimated using the kinematic information of seismic data or migrated gathers, such as the stereotomography and tomographic migration velocity analysis methods. In this paper, we propose a new method to estimate the macro-velocity model using the kinematic information of locally coherent events in the prestack seismic data. First, we calculate the slopes and traveltimes of locally coherent events using a sparse decomposition method. Then, we downward propagate two rays from both source and receiver locations using the observed slopes in the initial model. If at a certain depth the sum of two one-way traveltimes is equal to the observed traveltime, the subsurface offset can be measured. The velocity model can be updated by minimizing the square of subsurface offset iteratively. Numerical example demonstrates that the proposed method has a low dependence to the accuracy of initial model. Meanwhile, it neither requires low-frequency seismic data and/or long-offset acquisition. The high computational efficiency and automatic inversion strategy make it quite promising for macro-velocity model building.

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/content/papers/10.3997/2214-4609.201801385
2018-06-11
2020-07-15
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References

  1. Billette, F. and LambareG.
    , 1998, Velocity macro-model estimation from seismic reflection data by stereotomography: Geophysical Journal International, 135, 671–690
    [Google Scholar]
  2. Feng, B., WuR.S., WangH.Z.
    , 2007, Data domain automatic reflection traveltime inversion via sparse decomposition of seismic data: SEG Technical Program Expanded Abstracts2017: 5636–5640
    [Google Scholar]
  3. Lambaré, G.
    , 2008, Stereotomography: Geophysics, 73(5), VE25–VE34
    [Google Scholar]
  4. Shen, P., SymesW.W., MortonS.
    , 2005, Differential semblance velocity analysis via shot profile migration. SEG Technical Program Expanded Abstracts 2005: 2249–2252.
    [Google Scholar]
  5. Stork, C.
    , 1992, Reflection tomography in the postmigrated domain: Geophysics, 57(5), 680–692
    [Google Scholar]
  6. Sword
    , 1987, Tomographic determination of interval velocities from reflection seismic data: The method of controlled directional reception, Ph.D. dissertation, Stanford University
    [Google Scholar]
  7. Woodward, M.J., NicholsD., ZdravevaO.
    , 2008, A decade of tomography: Geophysics, 73(5), VE5–VE11
    [Google Scholar]
  8. Xie, X.B. and YangH.
    , The finite-frequency sensitivity kernel for migration residual moveout and its applications in migration velocity analysis: Geophysics, 73(6), S241–S249
    [Google Scholar]
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