Statistics – Computation
Scientific paper
Jul 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3113607p&link_type=abstract
Geophysical Research Letters, Volume 31, Issue 13, CiteID L13607
Statistics
Computation
9
Exploration Geophysics: Computational Methods, Seismic, Exploration Geophysics: Data Processing, Exploration Geophysics: Seismic Methods (3025)
Scientific paper
Its been shown that the statistical properties of a reflected seismic wavefield can be related to the statistical properties of the crust. In this paper, we report on a method to invert a reflected seismic wavefield for vertical stochastic parameters. The method is founded on a deconvolution, thresholding, and numerical integration procedure to estimate the Earth's bi-modal velocity perturbation. We then fit a von Kármán autocorrelation function to the autocorrelation of the estimated velocity perturbation and record the von Kármán parameters which result in the minimum misfit. Tests show that our scheme is successful at recovering the vertical characteristic length in synthetic seismic reflection data.
Levander Alan
Poppeliers Christian
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