Traveltime inversion for 2-D anomaly structures

Autores
Velis, Danilo Rubén
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents a traveltime inversion method that uses parametric functions to represent 2-D anomaly structures. These functions are described by a small set of unknown parameters which in turn are obtained after solving a highly nonlinear optimization problem via simulated annealing (SA). The procedure favors neither smooth nor high contrasting anomalies and keeps the number of unknowns very small so as to make the problem tractable using SA. Yet the strategy allows one to accommodate a large class of velocity models. Results indicate that this new approach typically yields better images than a standard linearized inversion based on a cell parameterization scheme.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Ciencias Astronómicas
geofísica
astrofísica
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/2061
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/2061
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Traveltime inversion for 2-D anomaly structuresVelis, Danilo RubénCiencias AstronómicasgeofísicaastrofísicaThis work presents a traveltime inversion method that uses parametric functions to represent 2-D anomaly structures. These functions are described by a small set of unknown parameters which in turn are obtained after solving a highly nonlinear optimization problem via simulated annealing (SA). The procedure favors neither smooth nor high contrasting anomalies and keeps the number of unknowns very small so as to make the problem tractable using SA. Yet the strategy allows one to accommodate a large class of velocity models. Results indicate that this new approach typically yields better images than a standard linearized inversion based on a cell parameterization scheme.Facultad de Ciencias Astronómicas y Geofísicas2001info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1481-1487http://sedici.unlp.edu.ar/handle/10915/2061enginfo:eu-repo/semantics/altIdentifier/url/http://www.fcaglp.unlp.edu.ar/~velis/papers/TomographyGeop01.pdfinfo:eu-repo/semantics/altIdentifier/issn/1942-2156info:eu-repo/semantics/altIdentifier/doi/10.1190/1.1487093info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-12-23T10:51:32Zoai:sedici.unlp.edu.ar:10915/2061Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-12-23 10:51:33.112SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Traveltime inversion for 2-D anomaly structures
title Traveltime inversion for 2-D anomaly structures
spellingShingle Traveltime inversion for 2-D anomaly structures
Velis, Danilo Rubén
Ciencias Astronómicas
geofísica
astrofísica
title_short Traveltime inversion for 2-D anomaly structures
title_full Traveltime inversion for 2-D anomaly structures
title_fullStr Traveltime inversion for 2-D anomaly structures
title_full_unstemmed Traveltime inversion for 2-D anomaly structures
title_sort Traveltime inversion for 2-D anomaly structures
dc.creator.none.fl_str_mv Velis, Danilo Rubén
author Velis, Danilo Rubén
author_facet Velis, Danilo Rubén
author_role author
dc.subject.none.fl_str_mv Ciencias Astronómicas
geofísica
astrofísica
topic Ciencias Astronómicas
geofísica
astrofísica
dc.description.none.fl_txt_mv This work presents a traveltime inversion method that uses parametric functions to represent 2-D anomaly structures. These functions are described by a small set of unknown parameters which in turn are obtained after solving a highly nonlinear optimization problem via simulated annealing (SA). The procedure favors neither smooth nor high contrasting anomalies and keeps the number of unknowns very small so as to make the problem tractable using SA. Yet the strategy allows one to accommodate a large class of velocity models. Results indicate that this new approach typically yields better images than a standard linearized inversion based on a cell parameterization scheme.
Facultad de Ciencias Astronómicas y Geofísicas
description This work presents a traveltime inversion method that uses parametric functions to represent 2-D anomaly structures. These functions are described by a small set of unknown parameters which in turn are obtained after solving a highly nonlinear optimization problem via simulated annealing (SA). The procedure favors neither smooth nor high contrasting anomalies and keeps the number of unknowns very small so as to make the problem tractable using SA. Yet the strategy allows one to accommodate a large class of velocity models. Results indicate that this new approach typically yields better images than a standard linearized inversion based on a cell parameterization scheme.
publishDate 2001
dc.date.none.fl_str_mv 2001
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/2061
url http://sedici.unlp.edu.ar/handle/10915/2061
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.fcaglp.unlp.edu.ar/~velis/papers/TomographyGeop01.pdf
info:eu-repo/semantics/altIdentifier/issn/1942-2156
info:eu-repo/semantics/altIdentifier/doi/10.1190/1.1487093
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
1481-1487
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 12.952241

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