IDEAS home Printed from https://ideas.repec.org/a/eee/marpol/v63y2016icp61-80.html
   My bibliography  Save this article

Service vessel activity in the U.S. Gulf of Mexico in support of the oil and gas industry using AIS data, 2009–2010

Author

Listed:
  • Kaiser, Mark J.

Abstract

Offshore exploration and production in the U.S. Gulf of Mexico is supported by a large number of service vessels characterized by complex logistical patterns and demand points distributed across an expansive geographic area. No quantitative data on the spatial and temporal distributions of service vessel activity in the region is available due to the size, complexity and dynamics of the network. The purpose of this paper is to apply Automatic Identification System position data to quantify service vessel activity in the U.S. Gulf of Mexico from 2009 to 2010. A total of 1.1 million vessel arrivals and departures were recorded in 2009–2010, and in 2010, the number of vessel events increased by 40% due in part to the Macondo oil spill and cleanup response. Port-to-port movements comprise the majority of events and about 30% of activity relates to movements offshore. Port Fourchon, Venice, New Orleans, Sabine-Neches, and Lake Charles were the most active ports during the period. A detailed breakdown of vessel counts and the limitations of the analysis are outlined.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:marpol:v:63:y:2016:i:c:p:61-80
    DOI: 10.1016/j.marpol.2015.09.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308597X15002833
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.marpol.2015.09.032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mark J Kaiser & Siddhartha Narra, 2014. "Application of AIS data in service vessel activity description in the Gulf of Mexico," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 436-466, December.
    2. 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.
    3. Shelmerdine, Richard L., 2015. "Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning," Marine Policy, Elsevier, vol. 54(C), pages 17-25.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maciel M. Queiroz & André Bergsten Mendes, 2020. "Critical Success Factors of the Brazilian Offshore Support Vessel Industry: A Flexible Systems Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 33-48, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Maciel M. Queiroz & André Bergsten Mendes, 2020. "Critical Success Factors of the Brazilian Offshore Support Vessel Industry: A Flexible Systems Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 33-48, June.
    3. Roar Adland & Pierre Cariou & François-Charles Wolff, 2018. "Comparing transaction-based and expert-generated price indices in the market for offshore support vessels," Working Papers halshs-01843720, HAL.
    4. Jakub Montewka & Floris Goerlandt & Mikko Lensu & Lauri Kuuliala & Robert Guinness, 2019. "Toward a hybrid model of ship performance in ice suitable for route planning purpose," Journal of Risk and Reliability, , vol. 233(1), pages 18-34, February.
    5. Santos, A.M.P. & Fagerholt, Kjetil & Laporte, Gilbert & Guedes Soares, C., 2022. "A stochastic optimization approach for the supply vessel planning problem under uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 209-228.
    6. Cai, Mingyou & Zhang, Jinfen & Zhang, Di & Yuan, Xiaoli & Soares, C. Guedes, 2021. "Collision risk analysis on ferry ships in Jiangsu Section of the Yangtze River based on AIS data," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Vieira, Bruno S. & Ribeiro, Glaydston M. & Bahiense, Laura & Cruz, Roberto & Mendes, André B. & Laporte, Gilbert, 2021. "Exact and heuristic algorithms for the fleet composition and periodic routing problem of offshore supply vessels with berth allocation decisions," European Journal of Operational Research, Elsevier, vol. 295(3), pages 908-923.
    8. Naixia Mou & Chunying Wang & Tengfei Yang & Lingxian Zhang, 2020. "Evaluation of Development Potential of Ports in the Yangtze River Delta Using FAHP-Entropy Model," Sustainability, MDPI, vol. 12(2), pages 1-24, January.
    9. Thomas Borthen & Henrik Loennechen & Xin Wang & Kjetil Fagerholt & Thibaut Vidal, 2018. "A genetic search-based heuristic for a fleet size and periodic routing problem with application to offshore supply planning," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(2), pages 121-150, June.
    10. Roar Adland & Pierre Cariou & Francois-Charles Wolff, 2017. "What makes a freight market index ?," Post-Print hal-03913228, HAL.
    11. 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.
    12. Bagherabadi, Kamyar Maleki & Skjong, Stian & Bruinsma, Jogchum & Pedersen, Eilif, 2023. "Investigation of hybrid power plant configurations for an offshore vessel with co-simulation approach," Applied Energy, Elsevier, vol. 343(C).
    13. Karen V. Czachorowski, 2021. "Cleaning Up Our Act: Systems Engineering to Promote Business Model Innovation for the Offshore Exploration and Production Supply Chain Operations," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    14. Zhang, Liye & Meng, Qiang & Fang Fwa, Tien, 2019. "Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 287-304.
    15. Bai, Xiwen & Lam, Jasmine Siu Lee, 2019. "A destination choice model for very large gas carriers (VLGC) loading from the US Gulf," Energy, Elsevier, vol. 174(C), pages 1267-1275.
    16. 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.
    17. Shucksmith, Rachel J & Shelmerdine, Richard L, 2015. "A risk based approach to non-native species management and biosecurity planning," Marine Policy, Elsevier, vol. 59(C), pages 32-43.
    18. Amiri, Mohsen & Amin, Saman Hassanzadeh & Tavakkoli-Moghaddam, Reza, 2019. "A Lagrangean decomposition approach for a novel two-echelon node-based location-routing problem in an offshore oil and gas supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 96-114.
    19. 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.
    20. Xin, Xuri & Liu, Kezhong & Loughney, Sean & Wang, Jin & Yang, Zaili, 2023. "Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:marpol:v:63:y:2016:i:c:p:61-80. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/marpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.