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The role of supply vessels in offshore logistics

Author

Listed:
  • Bjørnar Aas

    (Molde University College, The Norwegian School of Logistics, PO Box 2110, NO-6402, Molde, Norway)

  • Øyvind Halskau Sr

    (Molde University College, The Norwegian School of Logistics, PO Box 2110, NO-6402, Molde, Norway)

  • Stein W Wallace

    (Molde University College, The Norwegian School of Logistics, PO Box 2110, NO-6402, Molde, Norway)

Abstract

Oil companies are gradually becoming more focused on optimizing their upstream logistics. However, little research regarding upstream logistics has been published. We argue that more research would be beneficial and that more attention must be given to one of the largest cost elements in the upstream chain – the supply vessels. We explore the supply vessel as a means of transport and carry out a logistics analysis based on their use on the Norwegian continental shelf. Carrying capacity, sailing, loading and unloading capabilities are established as the main features of a supply vessel. Thereafter we discuss relevant logistical trade-offs within and among these features, and also in relation to the environment the vessels operate in. This elaboration clearly shows the complexity involved when searching for the ‘optimal’ supply vessel. The analysis also indicates the design and logistics system features that should be challenged in the future. We believe that the findings in this article will be of considerable value for both practitioners and academics. Maritime Economics & Logistics (2009) 11, 302–325. doi:10.1057/mel.2009.7

Suggested Citation

  • Bjørnar Aas & Øyvind Halskau Sr & Stein W Wallace, 2009. "The role of supply vessels in offshore logistics," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(3), pages 302-325, September.
  • Handle: RePEc:pal:marecl:v:11:y:2009:i:3:p:302-325
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    Citations

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    Cited by:

    1. Kaiser, Mark J., 2015. "Offshore Service Vessel activity forecast and regulatory modeling in the U.S. Gulf of Mexico, 2012–2017," Marine Policy, Elsevier, vol. 57(C), pages 132-146.
    2. Kaiser, Mark J., 2016. "Service vessel activity in the U.S. Gulf of Mexico in support of the oil and gas industry using AIS data, 2009–2010," Marine Policy, Elsevier, vol. 63(C), pages 61-80.
    3. Kaiser, Mark J., 2010. "An integrated systems framework for service vessel forecasting in the Gulf of Mexico," Energy, Elsevier, vol. 35(7), pages 2777-2795.
    4. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    5. Halvorsen-Weare, Elin E. & Fagerholt, Kjetil & Nonås, Lars Magne & Asbjørnslett, Bjørn Egil, 2012. "Optimal fleet composition and periodic routing of offshore supply vessels," European Journal of Operational Research, Elsevier, vol. 223(2), pages 508-517.
    6. repec:eee:transe:v:104:y:2017:i:c:p:150-164 is not listed on IDEAS
    7. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    8. Adland, Roar & Cariou, Pierre & Wolff, Francois-Charles, 2017. "What makes a freight market index? An empirical analysis of vessel fixtures in the offshore market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 150-164.
    9. Hamidreza Eskandari & Ehsan Mahmoodi, 2016. "A simulation-based multi-objective optimization study of the fleet sizing problem in the offshore industry," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(4), pages 436-457, December.

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