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Optimization of FPSO’s Main Dimensions Using Genetic Algorithm

[+] Author Affiliations
Grzegorz Mazerski

Deltamarin Ltd., Raisio, Finland

Paper No. OMAE2012-83738, pp. 601-610; 10 pages
doi:10.1115/OMAE2012-83738
From:
  • ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 1: Offshore Technology
  • Rio de Janeiro, Brazil, July 1–6, 2012
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-4488-5
  • Copyright © 2012 by ASME

abstract

An efficient concept design of FPSO is supported by a wide variety of tools and methods. Some use parametric solutions for a variety of projects, while others deal with project-specific issues.

One of the early challenges is to establish main dimensions of the “buoyancy element” for Floating Production System. The size should provide appropriate load-carrying capacity at minimum cost within limits of a given field development project. Since the financial implications of the hull size are significant, the choice should be made by means of a proper engineering study. One of the most promising approaches to this task is to utilize Multi Objective Genetic Algorithm (MOGA) for optimization of main particulars.

A method was developed that aims at finding optimum main dimensions of the FPSO unit of given storage capacity with respect to steel weight and strength. This was achieved by utilizing MOGA optimization tool available in NAPA stability software package. The paper presents procedures, challenges and samples of results of such studies. The method was recently utilized in two different FPSO concept projects. First comments and conclusions that were drawn from the results of the procedure will be presented. Some ideas for future development will also be given.

Copyright © 2012 by ASME

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