Course information
Quantitative Risk Assessment (QRA) training is available in the following formats
Face-to-Face
Intermediate
Attendance
1 day
7 hours
Learning objectives
- Explain the purpose and scope of Quantitative Risk Assessment (QRA) in major hazard risk management
- Identify and gather the key data inputs required for a QRA
- Describe the main components and steps of a QRA, from hazard identification to risk evaluation
- Understand frequency estimation methods, including fault tree analysis (FTA), event tree analysis (ETA), and use of historical data
- Describe consequence modelling techniques for fires, explosions, toxic releases, and dispersion
- Interpret individual and societal risk results using FN curves, risk contours, and risk matrices
- Apply risk criteria and tolerability frameworks to evaluate QRA outcomes
- Recognise the limitations, assumptions, conservatisms, and uncertainties inherent in QRA models
Key contents
- Introduction to QRA principles, methodologies, and role in risk management
- Overview of the QRA process and workflow
- Data requirements, collection, and quality checks (failure rates, inventories, occupancy)
- Physical effects modelling and consequence analysis (fire, explosion, toxic dispersion)
- Frequency analysis methods (FTA, ETA, historical data, expert judgement)
- Risk modelling, simulation techniques, and quantitative analysis approaches
- Interpreting QRA outputs: FN curves, risk contours, PLL, and risk matrices
- Risk criteria and tolerability frameworks (corporate and regulatory)
- Case studies from oil, gas, chemical, and energy sectors
- Common challenges, pitfalls, and best practices in conducting and reviewing QRA
Prerequisites
Basic knowledge of process engineering, safety management, or risk modelling is recommended. Prior experience with QRA methods or software is not required.
