Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters

We developed a higher resolution method for the estimation of the three travel-time parameters that are used in the 2D zero-offset, Common-Reflection-Surface stack method. The underlying principle in this method is to replace the coherency measure performed using semblance with that of MUSIC (multip...

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Main Authors: Endrias G. Asgedom, Leiv J. Gelius, Martin Tygel
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:International Journal of Geophysics
Online Access:http://dx.doi.org/10.1155/2011/819831
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spelling doaj-ad039eb45ec94bdd977aae82a2e8dc682020-11-24T21:26:08ZengHindawi LimitedInternational Journal of Geophysics1687-885X1687-88682011-01-01201110.1155/2011/819831819831Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack ParametersEndrias G. Asgedom0Leiv J. Gelius1Martin Tygel2Department of Geosciences, University of Oslo, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, 0316 Oslo, NorwayDepartment of Applied Mathematics, State University of Campinas, Campinas 1083-859 SP, BrazilWe developed a higher resolution method for the estimation of the three travel-time parameters that are used in the 2D zero-offset, Common-Reflection-Surface stack method. The underlying principle in this method is to replace the coherency measure performed using semblance with that of MUSIC (multiple signal classification) pseudospectrum that utilizes the eigenstructure of the data covariance matrix. The performance of the two parameter estimation techniques (i.e., semblance and MUSIC) was investigated using both synthetic seismic diffraction and reflection data corrupted with white Gaussian noise, as well as a multioffset ground penetrating radar (GPR) field data set. The estimated parameters employing MUSIC were shown to be superior of those from semblance.http://dx.doi.org/10.1155/2011/819831
collection DOAJ
language English
format Article
sources DOAJ
author Endrias G. Asgedom
Leiv J. Gelius
Martin Tygel
spellingShingle Endrias G. Asgedom
Leiv J. Gelius
Martin Tygel
Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters
International Journal of Geophysics
author_facet Endrias G. Asgedom
Leiv J. Gelius
Martin Tygel
author_sort Endrias G. Asgedom
title Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters
title_short Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters
title_full Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters
title_fullStr Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters
title_full_unstemmed Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters
title_sort higher-resolution determination of zero-offset common-reflection-surface stack parameters
publisher Hindawi Limited
series International Journal of Geophysics
issn 1687-885X
1687-8868
publishDate 2011-01-01
description We developed a higher resolution method for the estimation of the three travel-time parameters that are used in the 2D zero-offset, Common-Reflection-Surface stack method. The underlying principle in this method is to replace the coherency measure performed using semblance with that of MUSIC (multiple signal classification) pseudospectrum that utilizes the eigenstructure of the data covariance matrix. The performance of the two parameter estimation techniques (i.e., semblance and MUSIC) was investigated using both synthetic seismic diffraction and reflection data corrupted with white Gaussian noise, as well as a multioffset ground penetrating radar (GPR) field data set. The estimated parameters employing MUSIC were shown to be superior of those from semblance.
url http://dx.doi.org/10.1155/2011/819831
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AT leivjgelius higherresolutiondeterminationofzerooffsetcommonreflectionsurfacestackparameters
AT martintygel higherresolutiondeterminationofzerooffsetcommonreflectionsurfacestackparameters
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