1887
  1. Home
  2. A-Z Publications
  3. Geophysical Prospecting
  4. Volume 56, Issue 4
  5. Article
Volume 56, Issue 4
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

We propose a two‐dimensional, non‐linear method for the inversion of reflected/converted traveltimes and waveform semblance designed to obtain the location and morphology of seismic reflectors in a lateral heterogeneous medium and in any source‐to‐receiver acquisition lay‐out. This method uses a scheme of non‐linear optimization for the determination of the interface parameters where the calculation of the traveltimes is carried out using a finite‐difference solver of the Eikonal equation, assuming an known background velocity model. For the search for the optimal interface model, we used a multiscale approach and the genetic algorithm global optimization technique. During the initial stages of inversion, we used the arrival times of the reflection phase to retrieve the interface model that is defined by a small number of parameters. In the successive steps, the inversion is based on the optimization of the semblance value determined along the calculated traveltime curves. Errors in the final model parameters and the criteria for the choice of the best‐fit model are also estimated from the shape of the semblance function in the model parameter space. The method is tested and validated on a synthetic dataset that simulates the acquisition of reflection data in a complex volcanic structure. This study shows that the proposed inversion approach is a valid tool for geophysical investigations in complex geological environments, in order to obtain the morphology and positions of embedded discontinuities.

© 2008 European Association of Geoscientists & Engineers
Loading

Article metrics loading...

/content/journals/10.1111/j.1365-2478.2008.00694.x
2008-06-28
2024-04-25

  • From This Site

    /content/journals/10.1111/j.1365-2478.2008.00694.x
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. AkaikeH.1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control6, 716–723.
    [Google Scholar]
  2. Al‐YahyaK.1989. Velocity analysis by iterative profile migration. Geophysics54, 718–729.
    [Google Scholar]
  3. AmandP. and VirieuxJ.1995. Non linear inversion of synthetic seismic reflection data by simulated annealing. 60th SEG meeting, San Francisco, California, USA, Expanded Abstracts, 612–615.
  4. BoschettiF., DentithM. C. and ListR. D.1996. Inversion of seismic refraction data using genetic algorithms. Geophysics61, 1715–1727.
    [Google Scholar]
  5. BunksC., SalickF.M., ZaleskiS. and ChaventG.1995. Multiscale seismic waveform inversion. Geophysics60, 1457–1473.
    [Google Scholar]
  6. FarraV. and MadariagaR.1988. Non‐linear reflection tomography. Geophysical Journal95, 135–147.
    [Google Scholar]
  7. FestaG. and NielsenS.2003. PML absorbing boundaries. Bulletin of the Seismic Society of America93, 891–903.
    [Google Scholar]
  8. GoldbergD.1989. Genetic Algorithms in Search, Optimisation and Machine Learning. Addison‐Wesley Professional.
    [Google Scholar]
  9. HollandJ.1975. Adaptation in Natural and Aartificial Systems. The University of Michigan Press.
    [Google Scholar]
  10. HurvichC.M. and TsaiC.1989. Regression and time series model selection in small samples. Biometrika76, 297–307.
    [Google Scholar]
  11. ImprotaL., ZolloA., HerreroA., FrattiniR., VirieuxJ. and Dell'AversanaP.2002. Seismic imaging of complex structures by non linear‐traveltime inversion of dense wide‐angle data: application to a thrust belt. Geophysical Journal International151, 264–278.
    [Google Scholar]
  12. JudenhercS. and ZolloA.2004. The Bay of Naples (southern Italy): constraints on the volcanic structures inferred from a dense seismic survey. Journal of Geophysical Research109, L07613. doi:DOI: 10.1029/2004GL019432.
    [Google Scholar]
  13. KreyT.1978. Seismic stripping helps unravel deep reflections. Geophysics43, 899–911.
    [Google Scholar]
  14. NeidellN.S. and TanerM.T.1971. Semblance and other coherency measures for multicannel data. Geophysics36, 482–497.
    [Google Scholar]
  15. NelderJ.A. and MeadR.1965. A simplex method for function minimization. Computer Journal7, 308–313.
    [Google Scholar]
  16. PodvinP. and LecomteI.1991. Finite difference computation of traveltimes in very contrasted velocity models: a massively parallel approach and its associated tools. Geophysical Journal International105, 271–284.
    [Google Scholar]
  17. PullammanappallilS.K. and LouieJ.N.1993. Inversion of seismic reflection traveltimes using a non linear optimization scheme. Geophysics58, 1607–1620.
    [Google Scholar]
  18. SambridgeM. and DrijkoningenG.1992. Genetic algoritms in seismic waveform inversion. Geophysical Journal International109, 323–342.
    [Google Scholar]
  19. TarantolaA. and ValletteB.1982. Generalized non‐linear inverse problems solved using the least squares criterion. Review of Geophysical and Space Physics20, 219–232.
    [Google Scholar]
  20. ToldiJ.1989. Velocity analysis without picking. Geophysics54, 191–199.
    [Google Scholar]
  21. Van TrierJ.A.1990. Reflection tomography after depth migration: fields data results. 60th SEG meeting, San Francisco , California , USA , Expanded Abstract, 1279–1282.
  22. WhitleyD.1994. A Genetic Algorithm Tutorial . Samizdat Press.
    [Google Scholar]
  23. WilliamsonP.R.1990. Tomographic inversion in reflection seismology. Geophysical Journal International100, 255–274.
    [Google Scholar]
  24. YilmazO. and ChambersR.1984. Migration velocity analysis by wave‐field extrapolation. Geophysics49, 1664–1974.
    [Google Scholar]
  25. ZolloA., D'AuriaL., De MatteisR., HerreroA., VirieuxJ. and GaspariniP.2002. Bayesian estimation of 2‐D P‐velocity models from active seismic arrival time data: imaging of the shallow structure of Mt Vesuvius (Southern Italy). Geophysical Journal International151, 566–582.
    [Google Scholar]
  26. ZolloA., JudenhercS., AugerE., VirieuxJ., CapuanoR., ChiarabbaC., De FrancoR., MakrisJ., MicheliniA. and MusacchioG.2003. Evidence for the buried rim of Campi Flegrei caldera from 3‐d active seismic imaging. Geophysical Research Letters 30. doi:DOI: 10.1029/2003GL018173.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/j.1365-2478.2008.00694.x
Loading
Depth and morphology of reflectors from the non‐linear inversion of arrival‐time and waveform semblance data. Part I: method and applications to synthetic data
Geophysical Prospecting 56, 527 (2008); https://doi.org/10.1111/j.1365-2478.2008.00694.x
/content/journals/10.1111/j.1365-2478.2008.00694.x
/content/journals/10.1111/j.1365-2478.2008.00694.x
Loading

Data & Media loading...

  • Article Type: Research Article

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error