Attenuation of multiple in reflection seismic data using Kalman–Bucy filter

The main objective of this work is the study and the application of the Kalman–Bucy method in the deconvolution process with prediction, considering the observed data as non-stationary. We propose a new prediction deconvolution operator (attenuation of multiple). The data used in this work are synth...

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Bibliographic Details
Published in:Applied mathematics and computation 2007-06, Vol.189 (1), p.805-815
Main Authors: Rocha, Marcus P.C., Leite, Lourenildo W.B., Santos, Mauro de L., Farias, Valcir J.da C.
Format: Article
Language:English
Subjects:
Deconvolution
Exact sciences and technology
Kalman–Bucy filter
Mathematical analysis
Mathematics
Numerical analysis
Numerical analysis. Scientific computation
Sciences and techniques of general use
State space
Stochastic process
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Summary:The main objective of this work is the study and the application of the Kalman–Bucy method in the deconvolution process with prediction, considering the observed data as non-stationary. We propose a new prediction deconvolution operator (attenuation of multiple). The data used in this work are synthetic and, based on this, this work has characteristics of a numerical research.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2006.11.186