Dynamic Risk Analysis in the Chemical and Petroleum Industry

<p>Part I: Introduction<br>1. A short overview of risk analysis background and recent developments<br>2. New definitions of old issues and need for continuous improvement</p> <p>Part II: Dynamic Risk Analysis<br>Sub-section 1: Hazard Identification<br>3. Advanced techniques for dynamic hazard identification<br>4. Dynamic hazard identification: tutorial and examples</p> <p>Sub-section 2: Frequency Analysis<br>4. Reactive approaches of probability update based on Bayesian inference<br>5. Proactive approaches of dynamic risk assessment based on indicators<br>6. Coupling of reactive and proactive approaches: tutorials and examples<br>7. Comparison and complementarity between reactive and proactive approaches</p> <p>Sub-section 3: Consequence Analysis<br>8. Dynamic consequence analysis through Computational Fluid Dynamics modelling<br>9. Computational Fluid Dynamics modelling: tutorial and examples<br>10. Assessing the severity of thermal hazards<br>11. Thermal hazard assessment: tutorial and examples</p> <p>Sub-section 4: Establishing the Risk Picture<br>12. Risk metrics and dynamic risk visualization</p> <p>Part III: Interaction with Parallel Disciplines<br>Sub-section 1: Humans<br>13. Human Reliability Analysis: from the nuclear to the petroleum sector<br>14. HRA in the petroleum industry: tutorial and examples</p> <p>Sub-section 2: Costs and Benefits<br>15. Cost-Benefit Analysis of safety measures<br>16. Cost-Benefit Analysis for low-probability high-impact risks: tutorial and examples</p> <p>Sub-section 3: Reputation<br>17. Reputational damage following major accidents<br>18. Estimation of major accident reputational damage: tutorial and examples</p> <p>Part IV: Dynamic Risk Management<br>19. Dynamic Risk Management in the perspective of a resilient system<br></p>