Please use this identifier to cite or link to this item: http://repositorio.ufpa.br:8080/jspui/handle/2011/9156
Title: Uma estratégia baseada em rede neural de base radial aplicada ao gerenciamento da produção de petróleo e gás natural
metadata.dc.creator: SILVA, Cleison Daniel
metadata.dc.contributor.advisor1: COSTA JÚNIOR, Carlos Tavares da
Keywords: Gerenciamento de reservatórios
Redes neurais
Separador trifásico
Engenharia do petróleo
Controladores programáveis
Issue Date: 3-Mar-2008
Publisher: Universidade Federal do Pará
Citation: SILVA, Cleison Daniel. Uma estratégia baseada em rede neural de base radial aplicada ao gerenciamento da produção de petróleo e gás natural. 2008. 71 f. Dissertação (Mestrado) - Universidade Federal do Pará, Instituto de Tecnologia, Belém, 2008. Programa de Pós-Graduação em Engenharia Elétrica.
Abstract: This work consists of a Neural Network for modeling the relationship between the well head surface variables and the multiphase flows of the test separator vessels in the East Urucu Field (LUC). In practice, this relationship is obtained when each producing unit is aligned to a test separator for production estimation. Data were obtained when the well is aligned to a test separator. Those data are used for training a Neural Network of Radial Basis Function (NN - RBF). The goal is to make the NN - RBF to recognize the patterns of the wel l head variables (input RBF) and the phases flow in the separator (out RBF), through using, as the training set, the patterns obtained during the production test previously executed.
URI: http://repositorio.ufpa.br/jspui/handle/2011/9156
Appears in Collections:Dissertações em Engenharia Elétrica (Mestrado) - PPGEE/ITEC

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