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Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm
Authors
A.B.S. Serapião
I. Witten
R.S. Parpinelli
T. Sousa
Publication date
1 January 2009
Publisher
Doi
Cite
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
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Last time updated on 09/07/2019
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Last time updated on 20/07/2021