An Artificial Bee Colony optimization-based approach for sizing and composition of Arctic offshore drilling support fleets considering cost-efficiency

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Abstract

This article presents an optimization-based approach for sizing and composition of an Arctic offshore drilling support fleet considering cost-efficiency. The approach studies the main types of duties related to Arctic offshore drillings: supply, towing, anchor handling, standby, oil spill response, firefighting, and ice management. The approach considers the combined effect of the expected costs of accidental events, the versatility of individual support vessels, and ice management. The approach applies an Artificial Bee Colony algorithm-based optimization procedure. As demonstrated through case studies, the approach may help to find a range of cost-efficient fleet compositions. Some of the obtained solutions are similar to corresponding real-life fleets, indicating that the approach works in principle. Sensitivity analyses indicate that the consideration of the expected costs from accidental events significantly impacts the obtained solution, and that investments to reduce these costs may improve the overall cost-efficiency of an Arctic offshore drilling support fleet.
Original languageEnglish
Number of pages24
JournalShip Technology Research
DOIs
Publication statusE-pub ahead of print - 5 Jan 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Arctic
  • Offshore support fleet
  • Ice class ships
  • goal-based design
  • fleet optimization
  • Artificial Bee Colony algorithm
  • Cost-efficiency
  • Metaheuristic

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