Course information
Quantitative Risk Assessment (QRA) training is available in the following formats
Learning objectives
- Explain the purpose, scope, and benefits of QRA in major hazard risk management
- Identify and collect the key data inputs required for a QRA, including hazard, frequency, and consequence data
- Describe the main components and workflow of a QRA, from hazard identification to risk evaluation and communication
- Apply frequency estimation methods, including fault tree analysis (FTA), event tree analysis (ETA), and use of historical data
- Describe and apply consequence modelling techniques for fires, explosions, toxic releases, and dispersion scenarios
- Interpret and communicate individual and societal risk results using FN curves, risk contours, risk matrices, and other tools
- Apply corporate and regulatory risk criteria and tolerability frameworks to assess QRA outcomes
- Recognise the limitations, assumptions, conservatisms, and uncertainties inherent in QRA models
- Use QRA outputs to support ALARP demonstration, options analysis, emergency planning, land use planning, and stakeholder communication
- Critically review and challenge QRA reports, including the validity of data inputs, methods, assumptions, and conclusions
Key contents
- Introduction to QRA: principles, context, and role in risk management
- QRA workflow: from hazard identification to risk evaluation and decision-making
- Data requirements and sources: failure data, inventories, occupancy, and escalation factors
- Physical effects and consequence modelling: fires, explosions, toxic and flammable dispersion
- Frequency estimation methods: fault trees, event trees, historical databases, and expert judgement
- Risk quantification techniques: individual and societal risk, FN curves, risk contours, PLL
- Statistical and probabilistic methods used in QRA
- Risk criteria and tolerability frameworks: corporate standards and regulatory expectations
- Application of QRA outputs to ALARP demonstration, options selection, emergency response, and land use planning
- Effective communication of QRA results to technical and non-technical audiences
- Case studies from oil, gas, chemical, and energy sectors
- Common challenges, pitfalls, and good practice in QRA execution and reporting
- Overview of regulatory frameworks, compliance obligations, and industry guidelines
Prerequisites
Basic knowledge of process engineering, safety management, or risk modelling is recommended. Prior experience with QRA methods or software is not required.
