1887

Abstract

Summary

Hybrid approach for seismic travel time tomography is proposed in the case of elliptical anisotropic media. A sequential scheme is presented that combines simulating annealing with linear least square inversion. Simulated annealing was implemented to obtain a velocity model that can be used as initial guess for linear least square inversion. Linear Traveltime Interpolation raytracing approximation is used to trace rays and calculate traveltimes. The procedure is tested both for a synthetic model and a real case. The real case comes from a previous study, that was solved by linear least square inversion. In both synthetic and real cases comparison is performed between the linear least square inversion results and hybrid approach; in the field study we compare the old results with those inferred by sequential approach.

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/content/papers/10.3997/2214-4609.20142041
2014-09-08
2024-03-28
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References

  1. Asakawa, E. and Kawanaka, T.
    [1993] Seismic ray tracing using linear travel time interpolationGeophysical Prospecting, 41, 99–111.
    [Google Scholar]
  2. BernabiniM. and CardarelliE.
    [1997] Variable damping factors in traveltime tomography. Journal of Applied Geophysics, 38, 131–141.
    [Google Scholar]
  3. Cardarelli, E. and de Nardis, R.
    [2001] Seismic Refraction, isotropic and anisotropic seismic tomography on an ancient monument. Geophysical Prospecting, 49, 228–240.
    [Google Scholar]
  4. Cardarelli, E. and Cerreto, A.
    [2002] Ray tracing in elliptical anisotropic media using the linear Travel Time Interpolation (LTI) method applied to seismic traveltime tomography. Geophysical Prospecting52, 55–72.
    [Google Scholar]
  5. Gokturkler, G.
    [2011] A hybrid approach for tomographic inversion of crosshole seismic first-arrival times. Journal of Geophysics and Engineering, 8, 99–108.
    [Google Scholar]
  6. Michelena, R.J., Muir, F. and Harris, J.M.
    [1993] Anisotropic travel time tomography. Geophysical Prospecting, 41, 381–412.
    [Google Scholar]
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