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Seismic image reconstruction using complex wavelets

Miller, M.A; Kingsbury, N.G; Hobbs, R.W.

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M.A Miller

N.G Kingsbury

R.W. Hobbs


The aim of seismic imaging is to reconstruct subsurface reflectivity from scattered acoustic data. In standard reconstruction techniques, the reflectivity model parameters are usually defined as a grid of point scatterers over the area or volume of the subsurface to be imaged. We propose an approach to subsurface imaging using the Dual Tree Complex Wavelet Transform (DT-CWT) as a basis for the reflectivity. This basis is used in conjunction with an iterative optimization which frames the problem as a linearized inverse scattering problem. We demonstrate the method on synthetic data and a marine seismic data set acquired over the Gippsland Basin near Australia. The technique is shown to reduce noise and processing artifacts while preserving discontinuities. It is likely to be particularly useful in cases where the acquired date is incomplete.


Miller, M., Kingsbury, N., & Hobbs, R. (2005). Seismic image reconstruction using complex wavelets. Proceedings of SPIE, 27-35.

Journal Article Type Article
Publication Date 2005-03
Deposit Date Jan 9, 2009
Publicly Available Date Nov 15, 2010
Journal Proceedings of SPIE : computational imaging III.
Print ISSN 0277-786X
Electronic ISSN 1996-756X
Publisher Society of Photo-optical Instrumentation Engineers
Peer Reviewed Peer Reviewed
Issue 5674
Pages 27-35


Published Journal Article (584 Kb)

Copyright Statement
Copyright 2005 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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