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Detec??o e classifica??o de modos de opera??o do bombeio mec?nico via cartas dinamom?tricas

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Previous issue date: 2014-05-30 / Universidade Federal do Rio Grande do Norte / The precision and the fast identification of abnormalities of bottom hole are essential
to prevent damage and increase production in the oil industry. This work presents a study
about a new automatic approach to the detection and the classification of operation mode
in the Sucker-rod Pumping through dynamometric cards of bottom hole. The main idea is
the recognition of the well production status through the image processing of the bottom s
hole dynamometric card (Boundary Descriptors) and statistics and similarity mathematics
tools, like Fourier Descriptor, Principal Components Analysis (PCA) and Euclidean Distance.
In order to validate the proposal, the Sucker-Rod Pumping system real data are
used / A identifica??o r?pida e precisa de anormalidades de fundo de po?o ? essencial para
evitar danos e aumentar a produ??o na ind?stria do petr?leo. Esta tese apresenta um
estudo sobre uma nova abordagem autom?tica para a detec??o e classifica??o de modos
de opera??o no sistema de Bombeio Mec?nico atrav?s de carta de dinamom?tricas de
fundo de po?o. A id?ia principal ? o reconhecimento das condi??es de produ??o do
sistema atrav?s do processamento de imagem do carta dinamom?trica de fundo de po?o
(Descritores de Fourier) e ferramentas matem?ticas estat?sticas (An?lise de Componentes
Principais - PCA) e de similaridade (Dist?ncia Euclidiana). Para validar a proposta, s?o
utilizados dados provenientes de sistemas de Bombeio Mec?nico reais

Identiferoai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/15257
Date30 May 2014
CreatorsLima, Fabio Soares de
ContributorsCPF:21929564287, http://lattes.cnpq.br/7987212907837941, Gon?alves, Luiz Marcos Garcia, CPF:32541457120, http://lattes.cnpq.br/1562357566810393, Silva, Diego Rodrigo Cabral, CPF:00973116420, http://lattes.cnpq.br/1125827309642732, Costa, Rut?cio de Oliveira, CPF:20954581334, Assmann, Benno Waldemar, CPF:75841312715, Ara?jo, Daniel Sabino Amorim de, CPF:04634747405, http://lattes.cnpq.br/4744754780165354, Oliveira, Luiz Affonso Henderson Guedes de
PublisherUniversidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Engenharia El?trica, UFRN, BR, Automa??o e Sistemas; Engenharia de Computa??o; Telecomunica??es
Source SetsIBICT Brazilian ETDs
LanguagePortuguese
Detected LanguagePortuguese
Typeinfo:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis
Formatapplication/pdf
Sourcereponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN
Rightsinfo:eu-repo/semantics/openAccess

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