Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines

Detalhes bibliográficos
Autor(a) principal: MATHEUS ARAUJO MARINS
Data de Publicação: 2018
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6395733
id BRCRIS_06973ccf1fd83df4a1ada776c7e89196
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
title Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
spellingShingle Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
oil and gas
óleo e gás
MATHEUS ARAUJO MARINS
title_short Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
title_full Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
title_fullStr Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
title_full_unstemmed Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
title_sort Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines
topic oil and gas
óleo e gás
publishDate 2018
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6395733
author_role author
author MATHEUS ARAUJO MARINS
author_facet MATHEUS ARAUJO MARINS
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/4476862527285936
dc.contributor.advisor1.fl_str_mv Sergio Lima Netto
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3566465649283245
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000173891463
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
instname_str UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
dc.publisher.program.fl_str_mv ENGENHARIA ELÉTRICA
dc.description.course.none.fl_txt_mv ENGENHARIA ELÉTRICA
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESMachine Learning Techniques Applied to Hydrate Failure Detection in Production LinesMachine Learning Techniques Applied to Hydrate Failure Detection in Production LinesMachine Learning Techniques Applied to Hydrate Failure Detection in Production LinesMachine Learning Techniques Applied to Hydrate Failure Detection in Production LinesMachine Learning Techniques Applied to Hydrate Failure Detection in Production LinesMachine Learning Techniques Applied to Hydrate Failure Detection in Production LinesMachine Learning Techniques Applied to Hydrate Failure Detection in Production Linesoil and gas2018masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6395733authorMATHEUS ARAUJO MARINShttp://lattes.cnpq.br/4476862527285936Sergio Lima Nettohttp://lattes.cnpq.br/3566465649283245https://orcid.org/0000000173891463UNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROENGENHARIA ELÉTRICAENGENHARIA ELÉTRICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv MARINS, MATHEUS ARAUJO. Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines. 2018. Tese.
dc.identifier.citation.fl_str_mv MARINS, MATHEUS ARAUJO. Machine Learning Techniques Applied to Hydrate Failure Detection in Production Lines. 2018. Tese.
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