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Related Experiment Videos

Full wave-field reflection coefficient inversion.

Jan Dettmer1, Stan E Dosso, Charles W Holland

  • 1School of Earth and Ocean Sciences, University of Victoria, Victoria, BC V8W 3P6, Canada. jand@uvic.ca

The Journal of the Acoustical Society of America
|February 6, 2008
PubMed
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This study introduces a Bayesian inversion method to accurately determine seabed geoacoustic properties from full wave-field reflection data. This advanced technique overcomes limitations of simpler models, providing reliable geoacoustic profiles and uncertainty estimates.

Area of Science:

  • Geophysics
  • Acoustics
  • Oceanography

Background:

  • Accurate geoacoustic profiling is crucial for underwater acoustics and seismic exploration.
  • Traditional methods using plane-wave assumptions can lead to significant errors in complex environments.
  • Full wave-field data offer a more comprehensive understanding of seabed properties.

Purpose of the Study:

  • To develop and validate a Bayesian inversion technique for multilayer geoacoustic profiling.
  • To compare the efficacy of full wave-field inversion against plane-wave approximations.
  • To enhance the accuracy and reliability of seabed acoustic property estimations.

Main Methods:

  • Bayesian inversion applied to full wave-field seabed reflection responses.
  • Wave number-integration model for computing synthetic acoustic fields.

Related Experiment Videos

  • Parallelized inversion algorithms and range averaging for computational efficiency.
  • Analysis of posterior probability densities for parameter estimation and uncertainty quantification.

    • Main Results:

    • The developed Bayesian inversion accurately recovers geoacoustic profiles (velocity, density, attenuation).
    • Full wave-field inversion yields excellent results, unlike the plane-wave method.
    • The plane-wave assumption was shown to produce erroneous results and misleading uncertainty bounds in synthetic studies.

    Conclusions:

    • Full wave-field Bayesian inversion is a superior method for accurate geoacoustic profiling.
    • This approach provides reliable parameter estimates and credible uncertainty intervals.
    • The findings highlight the limitations of plane-wave approximations in geoacoustic studies.