Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/92569
Type: Artigo de evento
Title: Classification Of Petroleum Well Drilling Operations With A Hybrid Particle Swarm/ant Colony Algorithm
Author: Serapiao A.B.S.
Mendes J.R.P.
Abstract: This 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.
Editor: 
Rights: fechado
Identifier DOI: 10.1007/978-3-642-02568-6_31
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-70350633099&partnerID=40&md5=e7e15ba3dcf88ac348fb395435465cf0
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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