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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/41325
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dc.contributor.authorSerapiao, Adriane Beatriz de S.-
dc.contributor.authorMendes, Jose R. P.-
dc.contributor.authorMorooka, Celso K.-
dc.contributor.authorPavon, J-
dc.contributor.authorDuqueMendez, ND-
dc.contributor.authorFuentesFernandez, R-
dc.date.accessioned2014-05-20T15:32:25Z-
dc.date.accessioned2016-10-25T18:08:38Z-
dc.date.available2014-05-20T15:32:25Z-
dc.date.available2016-10-25T18:08:38Z-
dc.date.issued2012-01-01-
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-34654-5_70-
dc.identifier.citationAdvances In Artificial Intelligence - Iberamia 2012. Berlin: Springer-verlag Berlin, v. 7637, p. 692-701, 2012.-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/11449/41325-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/41325-
dc.description.abstractThe development of an offshore field demands knowledge of many experts to choose the different components of an offshore production system. All the specialized parts of this knowledge are intrinsically related. The aim of this paper is to use Fuzzy Sets and knowledge-based systems to describe and formalize the phases of development of an offshore production system project, in order to share and to manage the required knowledge for carrying out a project, while at the same time proposing alternatives for the oil field configuration.en
dc.format.extent692-701-
dc.language.isoeng-
dc.publisherSpringer-verlag Berlin-
dc.sourceWeb of Science-
dc.subjectoffshore production systemen
dc.subjectpetroleum engineeringen
dc.subjectdecision-making toolen
dc.subjectknowledge-based systemen
dc.subjectfuzzy systemen
dc.titleDecision-Making Tool for Knowledge-Based Projects in Offshore Production Systemsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, UNESP, Rio Claro, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Rio Claro, SP, Brazil-
dc.identifier.doi10.1007/978-3-642-34654-5_70-
dc.identifier.wosWOS:000314227700070-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofAdvances In Artificial Intelligence - Iberamia 2012-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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