Evaluation of the viability and robustness of an iterative deconvolution approach for estimating the source wavelet during waveform inversion of crosshole ground-penetrating radar data
Détails
ID Serval
serval:BIB_35B9CD444E15
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Evaluation of the viability and robustness of an iterative deconvolution approach for estimating the source wavelet during waveform inversion of crosshole ground-penetrating radar data
Editeur
Society of Exploration Geophysicists
Organisation
SEG Technical Program Expanded Abstracts
ISSN-L
1052-3812
Statut éditorial
Publié
Date de publication
2009
Langue
anglais
Notes
Belina2009b
Résumé
A major issue in the application of waveform inversion methods to
crosshole ground‐penetrating radar (GPR) data is the accurate estimation
of the source wavelet. Here, we explore the viability and robustness
of incorporating this step into a recently published time‐domain
inversion procedure through an iterative deconvolution approach.
Our results indicate that, at least in non‐dispersive electrical
environments, such an approach provides remarkably accurate and robust
estimates of the source wavelet even in the presence of strong heterogeneity
of both the dielectric permittivity and electrical conductivity.
Our results also indicate that the proposed source wavelet estimation
approach is relatively insensitive to ambient noise and to the phase
characteristics of the starting wavelet. Finally, there appears to
be little to no trade‐off between the wavelet estimation and the
tomographic imaging procedures.
crosshole ground‐penetrating radar (GPR) data is the accurate estimation
of the source wavelet. Here, we explore the viability and robustness
of incorporating this step into a recently published time‐domain
inversion procedure through an iterative deconvolution approach.
Our results indicate that, at least in non‐dispersive electrical
environments, such an approach provides remarkably accurate and robust
estimates of the source wavelet even in the presence of strong heterogeneity
of both the dielectric permittivity and electrical conductivity.
Our results also indicate that the proposed source wavelet estimation
approach is relatively insensitive to ambient noise and to the phase
characteristics of the starting wavelet. Finally, there appears to
be little to no trade‐off between the wavelet estimation and the
tomographic imaging procedures.
Mots-clé
crosswell, deconvolution, GPR, inversion, wavelet
Création de la notice
25/11/2013 18:31
Dernière modification de la notice
21/08/2019 6:15
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