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Spectral sparse Bayesian learning reflectivity inversion

Spectral sparse Bayesian learning reflectivity inversion ABSTRACT A spectral sparse Bayesian learning reflectivity inversion method, combining spectral reflectivity inversion with sparse Bayesian learning, is presented in this paper. The method retrieves a sparse reflectivity series by sequentially adding, deleting or re‐estimating hyper‐parameters, without pre‐setting the number of non‐zero reflectivity spikes. The spikes with the largest amplitude are usually the first to be resolved. The method is tested on a series of data sets, including synthetic data, physical modelling data and field data sets. The results show that the method can identify thin beds below tuning thickness and highlight stratigraphic boundaries. Moreover, the reflectivity series, which is inverted trace‐by‐trace, preserves the lateral continuity of layers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Geophysical Prospecting Wiley

Spectral sparse Bayesian learning reflectivity inversion

Geophysical Prospecting , Volume 61 (4) – Jul 1, 2013

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References (39)

Publisher
Wiley
Copyright
© 2013 European Association of Geoscientists & Engineers
ISSN
0016-8025
eISSN
1365-2478
DOI
10.1111/1365-2478.12000
Publisher site
See Article on Publisher Site

Abstract

ABSTRACT A spectral sparse Bayesian learning reflectivity inversion method, combining spectral reflectivity inversion with sparse Bayesian learning, is presented in this paper. The method retrieves a sparse reflectivity series by sequentially adding, deleting or re‐estimating hyper‐parameters, without pre‐setting the number of non‐zero reflectivity spikes. The spikes with the largest amplitude are usually the first to be resolved. The method is tested on a series of data sets, including synthetic data, physical modelling data and field data sets. The results show that the method can identify thin beds below tuning thickness and highlight stratigraphic boundaries. Moreover, the reflectivity series, which is inverted trace‐by‐trace, preserves the lateral continuity of layers.

Journal

Geophysical ProspectingWiley

Published: Jul 1, 2013

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