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Artificial immune systems for classification of petroleum well drilling operations

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dc.contributor.authorSerapiao, Adriane B. S.
dc.contributor.authorMendes, Jose R. P.
dc.contributor.authorMiura, Kazuo
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-02-26T17:00:46Z
dc.date.accessioned2014-05-20T14:15:58Z
dc.date.available2014-02-26T17:00:46Z
dc.date.available2014-05-20T14:15:58Z
dc.date.issued2007-01-01
dc.description.abstractThis paper presents two approaches of Artificial Immune System for Pattern Recognition (CLONALG and Parallel AIRS2) to classify automatically the well drilling operation stages. The classification is carried out through the analysis of some mud-logging parameters. In order to validate the performance of AIS techniques, the results were compared with others classification methods: neural network, support vector machine and lazy learning.en
dc.description.affiliationUNESP, IGCE, DEMAC, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationUnespUNESP, IGCE, DEMAC, BR-13506900 Rio Claro, SP, Brazil
dc.format.extent47-58
dc.identifierhttp://dx.doi.org/10.1007/978-3-540-73922-7_5
dc.identifier.citationArtificial Immune Systems, Proceedings. Berlin: Springer-verlag Berlin, v. 4628, p. 47-58, 2007.
dc.identifier.doi10.1007/978-3-540-73922-7_5
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11449/24785
dc.identifier.wosWOS:000250107800005
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofArtificial Immune Systems, Proceedings
dc.relation.ispartofsjr0,295
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectpetroleum engineeringpt
dc.subjectmud-loggingpt
dc.subjectartificial immune systempt
dc.subjectclassification taskpt
dc.titleArtificial immune systems for classification of petroleum well drilling operationsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dspace.entity.typePublication
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