Title :
Deconvolution of marine seismic signal using higher order statistics and Bernoulli-Gaussian model
Author :
Boujida, M. ; Boucher, J.-M. ; Marsset, B. ; Lericolais, G. ; Meunier, J.
Author_Institution :
Dpt. S&C, Telecom Bretagne, Brest, France
Abstract :
A solution to the deconvolution problem of high resolution underwater seismic reflection is proposed. The seismic source wavelet, is identified by a causal non-minimum phase ARMA model using higher order statistics (HOS) information, while the layered system, which is characterized by reflection coefficients and travel times, is assumed to be a Bernoulli-Gaussian process. The seismic trace is deconvolved by an iterative detection-estimation algorithm based on maximum likelihood approach. The whole method is applied to seismic traces coming from various underwater sources
Keywords :
deconvolution; geophysical signal processing; geophysical techniques; higher order statistics; inverse problems; oceanic crust; seismology; Bernoulli-Gaussian model; deconvolution; explosion seismology; geophysical measurement technique; high resolution underwater seismic reflection; higher order statistics; iterative detection-estimation algorithm; layered system; marine geology; marine seismic signal; maximum likelihood approach; method; nonminimum phase ARMA model; oceanic crust; seafloor; seismic reflection profiling; seismic source wavelet; Amplitude estimation; Deconvolution; Drilling; Higher order statistics; Iterative algorithms; Maximum likelihood detection; Reflection; Reflectivity; Signal resolution; Water resources;
Conference_Titel :
OCEANS '96. MTS/IEEE. Prospects for the 21st Century. Conference Proceedings
Conference_Location :
Fort Lauderdale, FL
Print_ISBN :
0-7803-3519-8
DOI :
10.1109/OCEANS.1996.569121
