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Decision Support for Offshore Operations in Remote Arctic Areas TOSC: An Optimization Toolbox Based on Bayesian Networks

[+] Author Affiliations
Johannes Hüffmeier, Björn Forsman, Jim Sandkvist

SSPA Sweden AB, Gothenburg, Sweden

Johan Rafstedt

Transatlantic AB, Skärhamn, Sweden

Paper No. OMAE2009-79791, pp. 143-147; 5 pages
  • ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 5: Polar and Arctic Sciences and Technology; CFD and VIV
  • Honolulu, Hawaii, USA, May 31–June 5, 2009
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-4345-1 | eISBN: 978-0-7918-3844-0
  • Copyright © 2009 by ASME


SSPA Sweden AB has developed a decision support tool for Arctic offshore operations in close cooperation with the ship owner Transatlantic. With their icebreaking offshore supply vessels, Transatlantic has experience in both offshore operations and ice breaking for the Swedish Maritime Administration, which gives them a unique competence for Arctic offshore tasks. Founded on these experiences SSPA has created a toolbox based on Bayesian networks to provide the decision maker with the required competence to plan, dimension and organise offshore operations. The demands on the model given by Transatlantic for this tool were to include an accurate planning possibility, it should be handy and flexible, successively extendable, based scientifically and it should reflect the operators experience and even experience transfer. The developed tool is based on so called Bayesian Networks. With the help of the graphical directed arrows it is possible to describe complex links and relations between: - specific customer demands and service needs, - supply tasks, icebreaking management, anchor handling, towing, etc., - local external environmental conditions, ice, weather, - surrounding infrastructure, base harbours, transports, - external requirements, national rules, permissions, classification requirements, - possible abnormalities, undesired events, danger of accident, - emergency preparedness, redundant resources, - resources, vessels in use, land-based resources, helicopters, etc. By combining risk analysis methodology, statistics and expert judgements the tool belays and incorporates high safety, cost-benefit, well-reasoned strategies, alternative plans of action and purposive solutions.

Copyright © 2009 by ASME



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