Please use this identifier to cite or link to this item:
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.
Rights: fechado
Identifier DOI: 10.1007/978-3-642-02568-6_31
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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