dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:28:43Z
dc.date.available2014-05-20T15:28:43Z
dc.date.created2014-05-20T15:28:43Z
dc.date.issued2001-12-01
dc.identifierJournal of Petroleum Science and Engineering. Amsterdam: Elsevier B.V., v. 32, n. 2-4, p. 191-199, 2001.
dc.identifier0920-4105
dc.identifierhttp://hdl.handle.net/11449/38477
dc.identifier10.1016/S0920-4105(01)00161-9
dc.identifierWOS:000174333100012
dc.identifier0140365057016044
dc.description.abstractDomains where knowledge representation is too complex to be described analytically and in a deterministic way is very common in the petroleum industry, particularly in the field of exploration and production. In these domains, applications of artificial intelligence techniques are very suitable, especially in cases where the preservation of corporate and technical knowledge is important. The Laboratory for Research on Artificial Intelligence Applied to Petroleum Engineering (LIAP) at Unicamp, has, during the last 10 years, dedicated research efforts to build intelligent systems in well drilling and petroleum production fields. In the following sections, recent advances in intelligent systems, under development in the research laboratory, are described. (C) 2001 Published by Elsevier B.V. B.V.
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.subjectintelligent systems
dc.subjectpetroleum engineering
dc.subjectpetroleum well planning
dc.subjectwell production
dc.subjectwater injection
dc.subjectwater production
dc.titleDevelopment of intelligent systems for well drilling and petroleum production
dc.typeArtículos de revistas


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