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Technology
Assessment & Research (TA&R) Program
| Project Number |
294 |
| Date of Summary |
April 01, 1998 |
| Subject |
Statistical Analysis of MMS
Inspection and Accident Data |
| Performing Activity |
Department of Energy/Federal Energy Technology
Center (FETC) |
| Principal Investigator |
John Shultz |
| Contracting Agency |
Minerals Management Service |
| Estimated Completion |
January 1999 |
| Description |
This project is a review of the
risk assessment and inspection procedure of the Minerals Management Service.
Additionally, it assesses the current state of knowledge in the area of risk
assessment of offshore platforms and develops three models to predict the
likelihood of accidents and spills at offshore platforms. Two sources of
information were used to construct the modes:
1. Databases maintained by the Minerals Management Service (MMS)
2. Surveys of platform inspectors
The first two models were based on the information in the
databases and consist of neural network and logistic regression models. The
third model used multiattribute utility theory procedures and the
information gathered through surveys. |
| Progress |
The project is complete. |
| Report |
| AA
(334 pages) |
Shultz, John R, Offshore
Production Platform Risk Modeling Project, A Summary Report of Risk Factor Surveys,
Department of Energy/Federal Energy Technology Center (DOE/FETC), August 6, 1998. |
|
AB (42 pages) |
Shultz, John, R., The Risk of
Accidents and Spills at Offshore Production Platforms: A Statistical Analysis of Risk
Factors and the Development of Predictive Models, Data Appendix, Survey Appendix,
Department of Engineering and Public Policy, June 1998. |
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