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Vol. 159, Issue 11, November 2013, pp. 120-125

 

Bullet

 

Multichannel Seismic Deconvolution Using Bayesian Method
 
1, 2 Li Yanqin, 1 Peng Hongwei, 1 Yu Ruihong

1 Department of Disaster Prevention Equipment, Institute of Disaster Prevention, Beijing 101601, China

2 School of Electrical Engineering & Automation, Tianjin University, Tianjin 300072, China
Tel.: 010-58412954, fax: 01457422953
E-mail: liyanqin-2190@126.com

 

Received: 9 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems

 

Abstract: In this paper, we propose an algorithm for multichannel blind deconvolution of seismic signals, which exploits variational Bayesian method. It is related to the Kullback-Leibler divergence, which measures the independence degree of deconvolved data sequence. We assume that the reflectivity sequence is almost the same for each receiver while the noise level may differ at each channel. Compared to blind deconvolution of a single seismic trace, multichannel blind deconvolution provides an accurate convergence of the estimated parameters and reflectivity sequence.

 

Keywords: Multichannel, Seismic deconvolution, Bayesian method, Bernoulli-Gaussian process, Blind deconvolution.

 

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