Identification of velocity variations in a seismic cube using neural networks

Autores
Cersósimo, Diego Sergio; Ravazzoli, Claudia Leonor; García Martínez, Ramón
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks.
Applications in Artificial Intelligence - Learning and Neural Nets
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Neural nets
Sismos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24147
Acceder
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network_name_str SEDICI (UNLP)
spelling Identification of velocity variations in a seismic cube using neural networksCersósimo, Diego SergioRavazzoli, Claudia LeonorGarcía Martínez, RamónCiencias InformáticasNeural netsSismosThis research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks.Applications in Artificial Intelligence - Learning and Neural NetsRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24147enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:28:30Zoai:sedici.unlp.edu.ar:10915/24147Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:28:30.921SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Identification of velocity variations in a seismic cube using neural networks
title Identification of velocity variations in a seismic cube using neural networks
spellingShingle Identification of velocity variations in a seismic cube using neural networks
Cersósimo, Diego Sergio
Ciencias Informáticas
Neural nets
Sismos
title_short Identification of velocity variations in a seismic cube using neural networks
title_full Identification of velocity variations in a seismic cube using neural networks
title_fullStr Identification of velocity variations in a seismic cube using neural networks
title_full_unstemmed Identification of velocity variations in a seismic cube using neural networks
title_sort Identification of velocity variations in a seismic cube using neural networks
dc.creator.none.fl_str_mv Cersósimo, Diego Sergio
Ravazzoli, Claudia Leonor
García Martínez, Ramón
author Cersósimo, Diego Sergio
author_facet Cersósimo, Diego Sergio
Ravazzoli, Claudia Leonor
García Martínez, Ramón
author_role author
author2 Ravazzoli, Claudia Leonor
García Martínez, Ramón
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Neural nets
Sismos
topic Ciencias Informáticas
Neural nets
Sismos
dc.description.none.fl_txt_mv This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks.
Applications in Artificial Intelligence - Learning and Neural Nets
Red de Universidades con Carreras en Informática (RedUNCI)
description This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24147
url http://sedici.unlp.edu.ar/handle/10915/24147
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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
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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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