Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells

The aim of the present work is a preliminary set of groups that make up the Crust Lateritico Niqueliferas Cobaltiferas of Punta Gorda Reservoir in Cuba by neural networks applied to a sef of radioactive well logs according to a predetermined geolical classification . It also undertakes assesment of...

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Tipo de recurso:
http://purl.org/coar/resource_type/c_6578
Fecha de publicación:
2014
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/12220
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/3440
https://repositorio.uptc.edu.co/handle/001/12220
Palabra clave:
neural network
welllog
lateritas
redes neuronales
geofísica de pozos
lateritas
Rights
License
Derechos de autor 2014 Ingeniería Investigación y Desarrollo
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oai_identifier_str oai:repositorio.uptc.edu.co:001/12220
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network_name_str RiUPTC: Repositorio Institucional UPTC
repository_id_str
spelling 2014-05-232024-07-05T18:47:48Z2024-07-05T18:47:48Zhttps://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/344010.19053/1900771X.3440https://repositorio.uptc.edu.co/handle/001/12220The aim of the present work is a preliminary set of groups that make up the Crust Lateritico Niqueliferas Cobaltiferas of Punta Gorda Reservoir in Cuba by neural networks applied to a sef of radioactive well logs according to a predetermined geolical classification . It also undertakes assesment of nickel content in each of the defined groups also implementing neural networks.El objetivo del actual trabajo es definir de forma preliminar los grupos que componen la Corteza Laterítico Niquelíferas Cobaltíferas del Yacimiento Punta Gorda en Cuba, mediante redes neuronales aplicadas a un conjunto de registros radioactivos de pozo de acuerdo a una clasificación geológica previamente determinada. Se realiza además la evaluación  del contenido de Níquel  en cada uno de los grupos definidos aplicando también redes neuronales. application/pdfspaspaUniversidad Pedagógica y Tecnológica de Colombia - UPTChttps://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/3440/3075Derechos de autor 2014 Ingeniería Investigación y Desarrollohttp://purl.org/coar/access_right/c_abf79http://purl.org/coar/access_right/c_abf2Ingeniería Investigación y Desarrollo; Vol. 14 No. 1: enero-junio de 2014; 31-35Ingeniería Investigación y Desarrollo; Vol. 14 Núm. 1: enero-junio de 2014; 31-352422-43241900-771Xneural networkwellloglateritasredes neuronalesgeofísica de pozoslateritasUse of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wellsEmpleo de redes neuronales para la estimación del contenido de níquel en corteza laterítica con métodos radioactivos de pozosinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6578http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a162http://purl.org/coar/version/c_970fb48d4fbd8a85Guerra, MarcialRuíz, JorgeEbecken, NelsonLandau, LuizSilva, Josias001/12220oai:repositorio.uptc.edu.co:001/122202025-07-18 11:25:29.5metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
dc.title.es-ES.fl_str_mv Empleo de redes neuronales para la estimación del contenido de níquel en corteza laterítica con métodos radioactivos de pozos
title Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
spellingShingle Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
neural network
welllog
lateritas
redes neuronales
geofísica de pozos
lateritas
title_short Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
title_full Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
title_fullStr Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
title_full_unstemmed Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
title_sort Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells
dc.subject.en-US.fl_str_mv neural network
welllog
lateritas
topic neural network
welllog
lateritas
redes neuronales
geofísica de pozos
lateritas
dc.subject.es-ES.fl_str_mv redes neuronales
geofísica de pozos
lateritas
description The aim of the present work is a preliminary set of groups that make up the Crust Lateritico Niqueliferas Cobaltiferas of Punta Gorda Reservoir in Cuba by neural networks applied to a sef of radioactive well logs according to a predetermined geolical classification . It also undertakes assesment of nickel content in each of the defined groups also implementing neural networks.
publishDate 2014
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:47:48Z
dc.date.available.none.fl_str_mv 2024-07-05T18:47:48Z
dc.date.none.fl_str_mv 2014-05-23
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6578
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a162
format http://purl.org/coar/resource_type/c_6578
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/3440
10.19053/1900771X.3440
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/12220
url https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/3440
https://repositorio.uptc.edu.co/handle/001/12220
identifier_str_mv 10.19053/1900771X.3440
dc.language.none.fl_str_mv spa
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/3440/3075
dc.rights.es-ES.fl_str_mv Derechos de autor 2014 Ingeniería Investigación y Desarrollo
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf79
rights_invalid_str_mv Derechos de autor 2014 Ingeniería Investigación y Desarrollo
http://purl.org/coar/access_right/c_abf79
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.es-ES.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia - UPTC
dc.source.en-US.fl_str_mv Ingeniería Investigación y Desarrollo; Vol. 14 No. 1: enero-junio de 2014; 31-35
dc.source.es-ES.fl_str_mv Ingeniería Investigación y Desarrollo; Vol. 14 Núm. 1: enero-junio de 2014; 31-35
dc.source.none.fl_str_mv 2422-4324
1900-771X
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
_version_ 1839633810889637888

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