Publicação:
Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm

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dc.contributor.authorSerapião, Adriane B. S. [UNESP]
dc.contributor.authorMendes, José Ricardo P.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-05-27T11:24:02Z
dc.date.available2014-05-27T11:24:02Z
dc.date.issued2009-11-09
dc.description.abstractThis paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The results are compared with bio-inspired methods, and rule induction and decision tree algorithms for data mining. © 2009 Springer Berlin Heidelberg.en
dc.description.affiliationUNESP/IGCE/DEMAC, C.P. 178, Rio Claro (SP) CEP 13506-900
dc.description.affiliationUNICAMP/FEM/DEP, C.P. 6122, Campinas (SP) CEP 13081-970
dc.description.affiliationUnespUNESP/IGCE/DEMAC, C.P. 178, Rio Claro (SP) CEP 13506-900
dc.format.extent301-310
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-02568-6_31
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5579 LNAI, p. 301-310.
dc.identifier.doi10.1007/978-3-642-02568-6_31
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.lattes6997814343189860
dc.identifier.orcid0000-0001-9728-7092
dc.identifier.scopus2-s2.0-70350633099
dc.identifier.urihttp://hdl.handle.net/11449/71234
dc.identifier.wosWOS:000269972300031
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofsjr0,295
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBio-inspired
dc.subjectColony algorithms
dc.subjectData sets
dc.subjectDecision-tree algorithm
dc.subjectHybrid particles
dc.subjectRule induction
dc.subjectData mining
dc.subjectDecision trees
dc.subjectIntelligent systems
dc.subjectMud logging
dc.subjectOil wells
dc.subjectPetroleum industry
dc.subjectWell drilling
dc.titleClassification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithmen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights
dspace.entity.typePublication
unesp.author.lattes6997814343189860[1]
unesp.author.orcid0000-0001-9728-7092[1]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentEstatística, Matemática Aplicada e Computação - IGCEpt

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Rio Claro - IGCE - Instituto de Geociências e Ciências Exatas