Optimization of Steel Catenary Risers for Offshore Oil Production Using Artificial Immune System

  • Authors:

  • Ian N. Vieira;Beatriz S. Lima;Breno P. Jacob

  • Affiliations:

  • COPPE and Polytechnic School /Federal University of Rio de Janeiro, Rio de Janeiro, Brazil 21941-972;COPPE and Polytechnic School /Federal University of Rio de Janeiro, Rio de Janeiro, Brazil 21941-972 and Polytechnic School /Federal University of Rio de Janeiro, Rio de Janeiro, Brazil 21941-972;COPPE and Polytechnic School /Federal University of Rio de Janeiro, Rio de Janeiro, Brazil 21941-972

  • Venue:
  • ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
  • Year:
  • 2008

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Abstract

This work presents an application of Artificial Immune System (AIS) using Clonalgto the synthesis and optimization procedure of a Steel Catenary Riser (SCR) for floating oil production systems at deep and ultra-deep waters. The evaluation of the behavior of riser configurations, needed for the calculation of the fitness function in the optimization procedure by an evolutionary algorithm, requires a large number of time-consuming Finite Element analyses. Therefore, it is important to reduce the number of analyses; in this paper, the effectiveness of AIS for this purpose is assessed in this real-world industrial application. The results indicate that the AIS approach is more effective than Genetic Algorithms (GA), generating better solutions with smaller number of evaluations.