dc.contributor | Dória Neto, Adrião Duarte | |
dc.contributor | | |
dc.contributor | http://lattes.cnpq.br/4328007202930655 | |
dc.contributor | | |
dc.contributor | http://lattes.cnpq.br/1987295209521433 | |
dc.contributor | Melo, Jorge Dantas de | |
dc.contributor | | |
dc.contributor | http://lattes.cnpq.br/7325007451912598 | |
dc.contributor | Mata, Wilson da | |
dc.contributor | | |
dc.contributor | http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781404Z6 | |
dc.contributor | Machado, Marcos Vitor Barbosa | |
dc.contributor | | |
dc.contributor | http://lattes.cnpq.br/6630008146475338 | |
dc.creator | Pires, Paulo Roberto da Motta | |
dc.date.accessioned | 2014-11-01 | |
dc.date.accessioned | 2014-12-17T14:08:50Z | |
dc.date.accessioned | 2022-10-06T12:32:27Z | |
dc.date.available | 2014-11-01 | |
dc.date.available | 2014-12-17T14:08:50Z | |
dc.date.available | 2022-10-06T12:32:27Z | |
dc.date.created | 2014-11-01 | |
dc.date.created | 2014-12-17T14:08:50Z | |
dc.date.issued | 2012-02-06 | |
dc.identifier | PIRES, Paulo Roberto da Motta. Processamento Inteligente de Sinais de Pressão e Temperatura Adquiridos Através de Sensores Permanentes em Poços de Petróleo. 2012. 89 f. Dissertação (Mestrado em Pesquisa e Desenvolvimento em Ciência e Engenharia de Petróleo) - Universidade Federal do Rio Grande do Norte, Natal, 2012. | |
dc.identifier | https://repositorio.ufrn.br/jspui/handle/123456789/12970 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3954363 | |
dc.description.abstract | Originally aimed at operational objectives, the continuous measurement of well bottomhole pressure and temperature, recorded by permanent downhole gauges (PDG), finds
vast applicability in reservoir management. It contributes for the monitoring of well performance and makes it possible to estimate reservoir parameters on the long term. However, notwithstanding its unquestionable value, data from PDG is characterized by a large
noise content. Moreover, the presence of outliers within valid signal measurements seems to be a major problem as well. In this work, the initial treatment of PDG signals is addressed, based on curve smoothing, self-organizing maps and the discrete wavelet transform.
Additionally, a system based on the coupling of fuzzy clustering with feed-forward neural networks is proposed for transient detection. The obtained results were considered quite
satisfactory for offshore wells and matched real requisites for utilization | |
dc.publisher | Universidade Federal do Rio Grande do Norte | |
dc.publisher | BR | |
dc.publisher | UFRN | |
dc.publisher | Programa de Pós-Graduação em Ciência e Engenharia do Petróleo | |
dc.publisher | Pesquisa e Desenvolvimento em Ciência e Engenharia de Petróleo | |
dc.rights | Acesso Aberto | |
dc.subject | sensores permanentes (PDG) | |
dc.subject | filtragem de ruído | |
dc.subject | transformada
wavelet discreta | |
dc.subject | mapas auto-organizáveis (SOM) | |
dc.subject | sistemas neuro-fuzzy | |
dc.subject | permanent downhole gauges (PDG) | |
dc.subject | noise filtering | |
dc.subject | discrete wavelet
transform (DWT) | |
dc.subject | self-organizing maps (SOM) | |
dc.subject | neuro-fuzzy systems | |
dc.title | Processamento Inteligente de Sinais de Pressão e Temperatura Adquiridos Através de Sensores Permanentes em Poços de Petróleo | |
dc.type | masterThesis | |