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An Approach to Update the Failure Rates of Safety Barriers Based on Operating Experience

Abstract

Hazardous events in process plants like the leakage of dangerous substances can result in severe damage, and such an event is often defined as the TOP event of a fault tree analysis (FTA) in a quantitative risk analysis. The TOP event probability can then be calculated if the basic events probabilities are provided. These probabilities are often determined based on generic reliability data which do not necessarily reflect the operational and environmental characteristics of a plant of interest. This paper presents an approach based on Bayesian network (BN) analysis to explicitly include experience data collected during the plant operation to make the generic probabilities more plant specific. The approach is illustrated via a pressure vessel containing a toxic substance in an Ammonia production plant. In this case study, the failure rate distribution in the BN is updated as the new information becomes available during plant operation. The results show that the suggested approach effectively reflects the operating experience of a specific plant.
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Category

Academic article

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Software Engineering, Safety and Security
  • Delft University of Technology
  • Norwegian University of Science and Technology
  • Canada

Year

2022

Published in

Chemical Engineering Transactions

ISSN

1974-9791

Volume

90

Page(s)

151 - 156

View this publication at Norwegian Research Information Repository