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Modeling lost production from destroyed platforms in the 2004–2005 Gulf of Mexico hurricane seasons

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  • Kaiser, Mark J.
  • Yu, Yunke
  • Jablonowski, Christopher J.

Abstract

Hurricanes Ivan, Katrina, and Rita passed through the Gulf of Mexico during 2004 and 2005 and resulted in the largest number of destroyed and damaged offshore oil and gas structures in the history of Gulf operations. In the final official government assessment, a total of 126 platforms were destroyed and over 183 structures were identified as having extensive damage. Production associated with wells and structures that are not redeveloped are classified as lost. The purpose of this paper is to derive functional relations that describe the likely contribution the collection of destroyed assets would have made to future production in the Gulf of Mexico. We estimate that the total remaining reserves from the set of destroyed structures range in value between $1.3 and $4.5 billion depending on the assumptions employed. We summarize the impact of the storms on the Gulf of Mexico oil and gas infrastructure and discuss the main issues involved in redevelopment decision making. A meta-model analytic framework is applied to perform sensitivity analysis and to explore the interactions of assumptions on model output. A discussion of the limitations of the analysis is presented.

Suggested Citation

  • Kaiser, Mark J. & Yu, Yunke & Jablonowski, Christopher J., 2009. "Modeling lost production from destroyed platforms in the 2004–2005 Gulf of Mexico hurricane seasons," Energy, Elsevier, vol. 34(9), pages 1156-1171.
    • Handle: RePEc:eee:energy:v:34:y:2009:i:9:p:1156-1171
    DOI: 10.1016/j.energy.2009.04.032
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    References listed on IDEAS

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    1. Kaiser, Mark J. & Pulsipher, Allan G., 2006. "Modeling the cost of shut-in production and the value of information in the Gulf of Mexico," Energy, Elsevier, vol. 31(4), pages 385-408.
    2. 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:

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    2. Bradley T. Ewing & Daan Liang & Yuepeng Cui, 2014. "A Time Series Approach to Examining Regional Economic Resiliency to Hurricanes," American Journal of Economics and Sociology, Wiley Blackwell, vol. 73(2), pages 369-391, April.
    3. Hanabusa, Kunihiro, 2010. "Effects of foreign disasters on the petroleum industry in Japan: A financial market perspective," Energy, Elsevier, vol. 35(12), pages 5455-5463.
    4. Daniel J. Pastor & Bradley T. Ewing, 2022. "VEC model of water infrastructure in Los Angeles: implications for community resilience and recovery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 629-643, October.
    5. 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.
    6. 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.

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