dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:22:00Z
dc.date.accessioned2022-10-05T16:14:21Z
dc.date.available2014-05-20T15:22:00Z
dc.date.available2022-10-05T16:14:21Z
dc.date.created2014-05-20T15:22:00Z
dc.date.issued2003-10-01
dc.identifierJournal of Petroleum Science and Engineering. Amsterdam: Elsevier B.V., v. 40, n. 1-2, p. 47-60, 2003.
dc.identifier0920-4105
dc.identifierhttp://hdl.handle.net/11449/33069
dc.identifier10.1016/S0920-4105(03)00083-4
dc.identifierWOS:000185044000005
dc.identifier0140365057016044
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3905486
dc.description.abstractPetroleum well drilling is an expensive and risky operation. In this context, well design presents itself as a fundamental key to decrease costs and risks involved. Experience acquired by engineers is notably an important factor in good drilling design elaborations. Therefore, the loss of this knowledge may entail additional problems and costs. In this way, this work represents an initiative to model a petroleum well design case-based architecture. Tests with a prototype showed that the system built with this architecture may help in a well design and enable corporate knowledge preservation. (C) 2003 Elsevier B.V. B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationJournal of Petroleum Science and Engineering
dc.relation2.382
dc.relation0,782
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectwell design
dc.subjectdrilling
dc.subjectcase-based reasoning
dc.subjectfuzzy sets
dc.subjectgenetic algorithms
dc.titleCase-based reasoning in offshore well design
dc.typeArtigo


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