文档介绍：Optim Eng (2011) 12: 215–235
DOI -009-9103-5
Tailoring the particle swarm optimization algorithm
for the design of offshore oil production risers
Aline Aparecida de Pina · Carl Horst Albrecht ·
Beatriz Souza Leite Pires de Lima ·
Breno Pinheiro Jacob
Received: 30 October 2008 / Accepted: 28 December 2009 / Published online: 22 January 2010
© Springer Science+Business Media, LLC 2010
Abstract In offshore oil production activities, risers are employed to connect the
wellheads at the sea-bottom to a floating platform at the sea surface. The design of
risers is a very important issue for the petroleum industry; many aspects are involved
in the design of such structures, related to safety and cost savings, thus requiring the
use of optimization tools.
In this context, this work presents studies on the application of the Particle Swarm
Optimization method (PSO) to the design of steel catenary risers in a lazy-wave con-
figuration. The PSO method has shown good efficiency for some applications, but its
performance is dependent on the values selected for the parameters of the algorithm.
Therefore, this work describes some variants of the method, and presents results of
several experiments performed to analyze the behavior of its parameters, trying to
improve the performance of the method and tailor it for the application to the design
of riser systems.
The resulting method and its best set of parameters can then be taken as the default
values in an implementation of the PSO method in the in-house puta-
tional tool, oriented to the design of risers, and also incorporating other optimization
methods based on evolutionary concepts.
. de Pina · . de Lima · . Jacob ()
COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of
Rio de Janeiro, Rio de Janeiro, RJ, Brazil
e-mail: ******@
. de Pina
e-mail: alinepina@
. de Lima
e-mail: ******@
. Albrecht · B.