The Risk_OMT project was a continuation of the BORA project, and was aimed at inclusion of organizational, human and technical aspects in quantitative risk analysis of offshore and onshore process plants. A quantitative risk analysis model of the platform specific hydrocarbon release frequency has been developed, including consideration of operational barriers in event trees and fault trees, as well as risk influencing factors that determine the basic event probabilities in the fault trees. The model is based on Risk Influencing Factors, and uses Bayesian Belief Network modelling.

It has been demonstrated that the model is capable of reflecting relative differences between alternative installations with different cultures and implementation of management systems. The model is also useful in demonstrating the importance and effects of improving human and organizational aspects.

The methodology is presented through a methodology paper and a case and evaluation paper, see below.

The project is financed by: NFR and Statoil.

Risk modelling of maintenance work on major process equipment on offshore petroleum installations

Evaluation of the Risk OMT model for maintenance work on major offshore process equipment