Multichannel blind seismic deconvolution using dynamic programming

Authors:
Alon Heimer;Israel Cohen
Affiliations:
Department of Electrical Engineering, Technion-Israel Institute of Technology, Technion City, Haifa 32000, Israel;Department of Electrical Engineering, Technion-Israel Institute of Technology, Technion City, Haifa 32000, Israel
Venue:
Signal Processing
Year:
2008

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Abstract

In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. We assume that reflectors in consecutive channels, related to distinct layers, form continuous paths across channels. We introduce a quality measure for evaluating the quality of a continuous path, and iteratively apply dynamic programming to find the best continuous paths. The improved performance of the proposed algorithm and its robustness to noise, compared to a competitive algorithm, are demonstrated through simulations and real seismic data examples.