Blind seismic wavefield separation using frequency singular value decomposition

Al-Qaisi, Aws, Woo, Wai Lok and Dlay, Satnam (2009) Blind seismic wavefield separation using frequency singular value decomposition. In: EUROCON 2009 - The IEEE Region 8 EUROCON 2009 International Conference, 18th - 23rd May 2009, St. Petersburg, Russia.

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Abstract

This paper presents a new blind statistical approach based on frequency singular value decomposition to enhance the SNR of the full multicomponent seismic wavefield as well as separating the seismic primary waves. A model of wideband polarized seismic wavefield that are received by linear array of three component sensors is used as framework for implementing the proposed algorithm. This algorithm explicitly exploits the Eigen-structure of reduced dimensional spectral covariance matrix. The blind separation of first primary wave is achieved by projecting the first eigenvector that has the highest eigenvalue of this covariance matrix on the long data vector that contains information on all frequencies and all components interactions of the multicomponent seismic wave-field. In addition, the experimental results have shown that the proposed algorithm outperforms the conventional separation technique in terms of accuracy and complexity.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Multicomponent sensor array, Spectral matrix filtering, SVD, Wavefield separation
Subjects:	G400 Computer Science H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	16 May 2019 16:45
Last Modified:	10 Oct 2019 18:48
URI:	http://nrl.northumbria.ac.uk/id/eprint/39337

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