OSRA Oil-Spill Occurrence Rates

Estimates of occurrence rates for offshore oil spills are useful for analyzing potential oil-spill impacts and for oil-spill response contingency planning. With the implementation of the Oil Pollution Act of 1990 (U.S. Public Law 101-380, August 18, 1990), estimates of oil-spill occurrence became even more important to natural resource trustees and to responsible parties involved in oil and gas activities.

The Oil-Spill Risk Analysis (OSRA) model, developed in 1975 by the DOI, is a tool that evaluates offshore oil-spill risks (Smith et al., 1982; LaBelle & Anderson, 1985). This model is used to develop probabilistic estimates of oil-spill occurrence and contact. A realistic, objective methodology for estimating oil-spill occurrence rates is required for the model's application. The MMS developed and maintains oil-spill databases on U.S. OCS Spills 1996-2008, U.S. OCS Spills 1964-1995, and tanker spills, which are used to support these estimations (Lanfear & Amstutz, 1983; Anderson & LaBelle, 1990, 1994).

Oil-spill occurrence rate estimates were revised (Anderson & LaBelle, 2000) based on U.S. Outer Continental Shelf (U.S. OCS) platform and pipeline spill data (1964 through 1999), worldwide tanker spill data (1974 through 1999), and barge spill data for U.S. waters (1974-1999). These spill rates are expressed and normalized in terms of number of spills per volume of crude oil handled. All estimates of spill occurrence rates were restricted to spills greater than or equal to 1,000 barrels (159 m3, 159 kiloliters, 136 metric tonnes, 42,000 U.S. gallons). This paper presents a simple approach for estimating oil-spill occurrence, normalized as a function of the volume of oil handled. For this paper, volume is reported in barrels (bbl) to assist policy- and decision-makers in government and industry.

Confidence Intervals

As a supplement to this paper, 95-Percent Confidence Intervals are presented. Further statistical information supporting this approach can be found in documents identified in the Additional Statistical Background discussion below.

Additional Statistical Background

Anderson & LaBelle (2000) is the fourth of a series of independently peer-reviewed papers presented in support of oil-spill rate assumptions used for the DOI OSRA Model, with two earlier Anderson & LaBelle efforts (1994 & 1990) and Lanfear & Amstutz (1983). Lanfear & Amstutz (1983) examines the cumulative frequency distributions of oil spills, tests pipeline miles as an alternative exposure variable for pipeline spills, and discusses the trend analysis of offshore spills performed by Nakassis (1982). These spill rate papers tier off earlier work performed by DOI in support of the OSRA Model, and work performed by other oil-spill researchers, as referenced in the papers.

Smith et al. (1982) documents the fundamentals of the DOI OSRA Model. It describes the approach of using lambda, the unknown spill occurrence rate for a fixed class of spills, as a parameter in a Poisson process, with volume of oil handled as an exposure variable to predict the probability of spill occurrence (pages 18-24). A Bayesian methodology, described in detail in Appendix A, “Distribution Theory of Spill Incidence”, provides one way to weight the different possible values of lambda given the past frequency of spill occurrence for a fixed class of spills (Appendix). Smith et al. (1982) selects volume as an exposure variable in that it is a quantity that would be more practical to estimate future exposure (a necessity for using it to forecast future spill occurrence) than the other exposure variables considered.

In support of using the Poisson process for spill occurrence and examinations of different exposure variables, Smith et al. (1982) references the works of Devanney & Stewart (1974), Stewart (1976), and Stewart & Kennedy (1978). These references, and other pertinent ones, can be found at Oil Spill Rates - Additional References.

For more information, contact Cheryl Anderson.