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Asset Decommissioning Risk Metrics for Floating Structures in the Gulf of Mexico.

Authors :
Kaiser MJ
Source :
Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2015 Aug; Vol. 35 (8), pp. 1562-90. Date of Electronic Publication: 2015 Feb 18.
Publication Year :
2015

Abstract

Public companies in the United States are required to report standardized values of their proved reserves and asset retirement obligations on an annual basis. When compared, these two measures provide an aggregate indicator of corporate decommissioning risk but, because of their consolidated nature, cannot readily be decomposed at a more granular level. The purpose of this article is to introduce a decommissioning risk metric defined in terms of the ratio of the expected value of an asset's reserves to its expected cost of decommissioning. Asset decommissioning risk (ADR) is more difficult to compute than a consolidated corporate risk measure, but can be used to quantify the decommissioning risk of structures and to perform regional comparisons, and also provides market signals of future decommissioning activity. We formalize two risk metrics for decommissioning and apply the ADR metric to the deepwater Gulf of Mexico (GOM) floater inventory. Deepwater oil and gas structures are expensive to construct, and at the end of their useful life, will be expensive to decommission. The value of proved reserves for the 42 floating structures in the GOM circa January 2013 is estimated to range between $37 and $80 billion for future oil prices between 60 and 120 $/bbl, which is about 10 to 20 times greater than the estimated $4.3 billion to decommission the inventory. Eni's Allegheny and MC Offshore's Jolliet tension leg platforms have ADR metrics less than one and are approaching the end of their useful life. Application of the proposed metrics in the regulatory review of supplemental bonding requirements in the U.S. Outer Continental Shelf is suggested to complement the current suite of financial metrics employed.<br /> (© 2015 Society for Risk Analysis.)

Details

Language :
English
ISSN :
1539-6924
Volume :
35
Issue :
8
Database :
MEDLINE
Journal :
Risk analysis : an official publication of the Society for Risk Analysis
Publication Type :
Academic Journal
Accession number :
25692712
Full Text :
https://doi.org/10.1111/risa.12349