Geoacoustic inversion with strongly correlated data errors

Authors

  • Jan Dettmer School of Earth and Ocean Sciences, University of Victoria, BC, Canada
  • Stan E. Dosso School of Earth and Ocean Sciences, University of Victoria, BC, Canada
  • Charles W. Holland Applied Research Laboratory, Pennsylvania State University, State College, PA, United States

Keywords:

Acoustic noise, Correlation methods, Data acquisition, Error analysis, Iterative methods, Matrix algebra, Natural frequencies, Optimization, Parameter estimation, Viscoelasticity, Cholesky decomposition, Covariance matrix, Data residuals, Geoacoustic inversions

Abstract

Pre-processing of synthetic single bounce reflection-loss data with strongly correlated data errors to improve application of a nonlinear Bayesian inversion to recover geoacoustic parameters from a viscoelastic model was considered. Correlated Gaussian errors were generated using a realistic synthetic covariance matrix derived from experimental measurements. It was found that the data used contained eight frequencies in a band from 300 to 1600 Hz with different numbers of angles at each frequency. The correct treatment of error correlations for uncertainties estimation from the data was found to be essential.

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Published

2004-09-01

How to Cite

1.
Dettmer J, Dosso SE, Holland CW. Geoacoustic inversion with strongly correlated data errors. Canadian Acoustics [Internet]. 2004 Sep. 1 [cited 2021 Oct. 19];32(3):194-5. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1694

Issue

Section

Proceedings of the Acoustics Week in Canada

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