Classification of Petroleum Well Drilling Operations with a Hybrid Particle Swarm/Ant Colony Algorithm

Authors:
Adriane B. Serapião;José Ricardo Mendes
Affiliations:
UNESP/IGCE/DEMAC, Rio Claro (SP), Brazil CEP 13506-900;UNICAMP/FEM/DEP, Campinas (SP), Brazil CEP 13081-970
Venue:
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Year:
2009

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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.