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A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Compressive sensing in seismic signal processing is a construction of the unknown reflectivity sequence from the incoherent measurements of the seismic records.
Blind seismic deconvolution is the recovery of reflectivity sequence from the seismic records, when the seismic wavelet is unknown.
In this paper, a seismic blind deconvolution algorithm based on Bayesian compressive sensing is proposed.
The proposed algorithm combines compressive sensing and blind seismic deconvolution to get the reflectivity sequence and the unknown seismic wavelet through the compressive sensing measurements of the seismic records.
Hierarchical Bayesian model and optimization method are used to estimate the unknown reflectivity sequence, the seismic wavelet, and the unknown parameters (hyperparameters).
The estimated result by the proposed algorithm shows the better agreement with the real value on both simulation and field-data experiments.
American Psychological Association (APA)
Li, Yanqin& Zhang, Guoshan. 2015. A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073812
Modern Language Association (MLA)
Li, Yanqin& Zhang, Guoshan. A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073812
American Medical Association (AMA)
Li, Yanqin& Zhang, Guoshan. A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073812
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073812