Statistical Analysis of MMS Inspection and Accident Data

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.