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The impact of Hurricanes Gustav and Ike on offshore oil and gas production in the Gulf of Mexico

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  • Kaiser, Mark J.
  • Yu, Yunke

Abstract

During August and September 2008, Hurricanes Gustav and Ike passed through the Gulf of Mexico and damaged and destroyed a number of offshore oil and gas structures. In the final official government assessment, a total of 60 platforms were destroyed and 31 structures were identified as having extensive damage. The destroyed platforms were responsible for about 1.6% of the oil and 2.5% of the gas produced daily in the Gulf of Mexico and represented approximately 234 million BOE of reserves valued between $4.6 and $10.9 billion. Although the number of structures destroyed by Hurricanes Gustav and Ike was half the total destruction from the 2004-2005 hurricane seasons, we estimate that the reserves at risk are approximately three times more valuable. Each destroyed structure is unique in its production capacity and damages incurred and are a candidate for redevelopment. We review pre-hurricane production and revenue characteristics for the collection of destroyed structures and estimate production at risk. Gas structures are expected to present better economics and redevelopment potential than oil structures, and we predict that 198 million BOE, or nearly 95% of reserves-in-place, are likely to be redeveloped. Shut-in production statistics are compared against recent hurricane events and general comments on the factors involved in decision making are presented.

Suggested Citation

  • Kaiser, Mark J. & Yu, Yunke, 2010. "The impact of Hurricanes Gustav and Ike on offshore oil and gas production in the Gulf of Mexico," Applied Energy, Elsevier, vol. 87(1), pages 284-297, January.
  • Handle: RePEc:eee:appene:v:87:y:2010:i:1:p:284-297
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    References listed on IDEAS

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    1. Kaiser, Mark J. & Kasprzak, Richard A., 2008. "The impact of the 2005 hurricane season on the Louisiana Artificial Reef Program," Marine Policy, Elsevier, vol. 32(6), pages 956-967, November.
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    Cited by:

    1. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Yun Bai & Xixi Li & Hao Yu & Suling Jia, 2020. "Crude oil price forecasting incorporating news text," Papers 2002.02010, arXiv.org, revised Jul 2021.
    3. Ji, Qiang & Guo, Jian-Feng, 2015. "Oil price volatility and oil-related events: An Internet concern study perspective," Applied Energy, Elsevier, vol. 137(C), pages 256-264.
    4. Jochen Güntner & Johannes Henler, 2021. "Exogenous Oil supply Shocks in OPEC and Non-OPEC Countries," The Energy Journal, , vol. 42(6), pages 229-246, November.
    5. James Ming Chen & Mobeen Ur Rehman, 2021. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities," Energies, MDPI, vol. 14(19), pages 1-58, September.
    6. Bai, Yun & Li, Xixi & Yu, Hao & Jia, Suling, 2022. "Crude oil price forecasting incorporating news text," International Journal of Forecasting, Elsevier, vol. 38(1), pages 367-383.
    7. Charles F. Mason, 2016. "Concentration Trends in the Gulf of Mexico Oil and Gas Industry," The Energy Journal, International Association for Energy Economics, vol. 0(Adelman S).
    8. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.
    9. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

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