NDLI: A MAP algorithm for AVO seismic inversion based on the mixed (L2, non-L2) norms to separate primary and multiple signals in slowness space

Content Provider	IEEE Xplore Digital Library
Author	Bustos, H.I.A. dos Santos Silva, M.P. Bandeira, C.L.L.
Copyright Year	2009
Description	Author affiliation: Claubio Landney Lima Bandeira, Rio Grande do Norte State University, Brazil (dos Santos Silva, M.P.) \|\| Rio Grande do Norte State University - UERN, BR 110, Km 46 - Mossoro, RN, Brazil (Bustos, H.I.A.)
Abstract	AVO (Amplitude Vs Offset) seismic inversion is a technique of tomographic seismic imaging for creating a model in stack-velocity space that can correctly reconstruct the measured AVO seismic dataset. This is usually implemented by minimizing a least squares inversion algorithm. This algorithm has limitations because it reconstructs seismic images with artifacts yield by impulsive noise contained in the input raw seismic dataset. Recently, superior seismic images were reconstructed using a MAP (Maximum A Posterior) approach, based on the Norm Lp. In this paper, we demonstrate similar results and even superior ones via minimizing a MAP approach built through L2 norm of dataset misfit and a non-L2 Lorentzian error norm of the model energy.
Starting Page	1
Ending Page	6
File Size	531589
Page Count	6
File Format	PDF
ISBN	9781424454976
ISSN	15505790
e-ISBN	9781424454983
DOI	10.1109/WACV.2009.5403042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Least squares methods Image reconstruction Seismic measurements Open source software Extraterrestrial measurements Licenses Acoustic reflection Measurement errors Tomography MAP algorithm travel time sub-surface seismic imaging seismic inversion
Content Type	Text
Resource Type	Article

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