Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions:
Paltrinieri and Khan provide support for professionals who plan to improve risk analysis by introducing innovative techniques and exploiting the potential of data share and process technologies. This concrete reference within an ever-growing variety of innovations will be most helpful to process safety managers, HSE managers, safety engineers and safety engineering students.
This book is divided into four parts. The Introduction provides an overview of the state-of-the-art risk analysis methods and the most up-to-date popular definitions of accident scenarios. The second section on Dynamic Risk Analysis shows the dynamic evolution of risk analysis and covers Hazard Identification, Frequency Analysis, Consequence Analysis and Establishing the Risk Picture. The third section on Interaction with Parallel Disciplines illustrates the interaction between risk analysis and other disciplines from parallel fields, such as the nuclear, the economic and the financial sectors. The final section on Dynamic Risk Management addresses risk management, which may dynamically learn from itself and improve in a spiral process leading to a resilient system.
1. Part 1. Introduction - p. xiv 2. Chapter 1. A Short Overview of Risk Analysis Background and Recent Developments - p. 3 3. Chapter 2. New Definitions of Old Issues and Need for Continuous Improvement - p. 13 4. Part 2. Dynamic Risk Analysis - p. 21 5. Section 2.1. Hazard Identification - p. 21 6. Chapter 3. Advanced Technique for Dynamic Hazard Identification - p. 27 7. Chapter 4. Dynamic Hazard Identification: Tutorial and Examples - p. 37 8. Section 2.2. Analysis of Initiating Events - p. 48 9. Chapter 5. Reactive Approaches of Probability Update Based on Bayesian Methods - p. 51 10. Chapter 6. Proactive Approaches of Dynamic Risk Assessment Based on Indicators - p. 63 11. Chapter 7. Reactive and Proactive Approaches: Tutorials and Example - p. 75 12. Chapter 8. Comparison and Complementarity between Reactive and Proactive Approaches - p. 93 13. Section 2.3. Analysis of Consequences - p. 101 14. Chapter 9. Dynamic Consequence Analysis through Computational Fluid Dynamics Modeling - p. 105 15. Chapter 10. Computational Fluid Dynamics Modeling: Tutorial and Examples - p. 115 16. Chapter 11. Assessing the Severity of Runaway Reactions - p. 127 17. Chapter 12. Dynamic Assessment of Runaway Reaction Risk: Tutorial and Examples - p. 139 18. Section 2.4. Establishing the Risk Picture - p. 148 19. Chapter 13. Risk Metrics and Dynamic Risk Visualization - p. 151 20. Part 3. Interaction With Parallel Disciplines - p. 165 21. Section 3.1. Humans - p. 165 22. Chapter 14. Human Reliability Analysis: From the Nuclear to the Petroleum Sector - p. 171 23. Chapter 15. Human Reliability Analysis in the Petroleum Industry: Tutorial and Examples - p. 181 24. Section 3.2. Costs and Benefits - p. 192 25. Chapter 16. Cost-Benefit Analysis of Safety Measures - p. 195 26. Chapter 17. Cost-Benefit Analysis for Low-Probability, High-Impact Risks: Tutorials and Examples - p. 207 27. Section 3.3. Reputation - p. 217 28. Chapter 18. Reputational Damage After Major Accidents - p. 221 29. Chapter 19. Estimation of Reputational Damage from Major Accidents: Tutorial and Examples - p. 231 30. Part 4. Dynamic Risk Management - p. 241 31. Chapter 20. Dynamic Risk Management in the Perspective of a Resilient System - p. 245 32. Conclusions - p. 259 33. Index - p. 263
Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions:
Paltrinieri and Khan provide support for professionals who plan to improve risk analysis by introducing innovative techniques and exploiting the potential of data share and process technologies. This concrete reference within an ever-growing variety of innovations will be most helpful to process safety managers, HSE managers, safety engineers and safety engineering students.
This book is divided into four parts. The Introduction provides an overview of the state-of-the-art risk analysis methods and the most up-to-date popular definitions of accident scenarios. The second section on Dynamic Risk Analysis shows the dynamic evolution of risk analysis and covers Hazard Identification, Frequency Analysis, Consequence Analysis and Establishing the Risk Picture. The third section on Interaction with Parallel Disciplines illustrates the interaction between risk analysis and other disciplines from parallel fields, such as the nuclear, the economic and the financial sectors. The final section on Dynamic Risk Management addresses risk management, which may dynamically learn from itself and improve in a spiral process leading to a resilient system.
1. Part 1. Introduction - p. xiv 2. Chapter 1. A Short Overview of Risk Analysis Background and Recent Developments - p. 3 3. Chapter 2. New Definitions of Old Issues and Need for Continuous Improvement - p. 13 4. Part 2. Dynamic Risk Analysis - p. 21 5. Section 2.1. Hazard Identification - p. 21 6. Chapter 3. Advanced Technique for Dynamic Hazard Identification - p. 27 7. Chapter 4. Dynamic Hazard Identification: Tutorial and Examples - p. 37 8. Section 2.2. Analysis of Initiating Events - p. 48 9. Chapter 5. Reactive Approaches of Probability Update Based on Bayesian Methods - p. 51 10. Chapter 6. Proactive Approaches of Dynamic Risk Assessment Based on Indicators - p. 63 11. Chapter 7. Reactive and Proactive Approaches: Tutorials and Example - p. 75 12. Chapter 8. Comparison and Complementarity between Reactive and Proactive Approaches - p. 93 13. Section 2.3. Analysis of Consequences - p. 101 14. Chapter 9. Dynamic Consequence Analysis through Computational Fluid Dynamics Modeling - p. 105 15. Chapter 10. Computational Fluid Dynamics Modeling: Tutorial and Examples - p. 115 16. Chapter 11. Assessing the Severity of Runaway Reactions - p. 127 17. Chapter 12. Dynamic Assessment of Runaway Reaction Risk: Tutorial and Examples - p. 139 18. Section 2.4. Establishing the Risk Picture - p. 148 19. Chapter 13. Risk Metrics and Dynamic Risk Visualization - p. 151 20. Part 3. Interaction With Parallel Disciplines - p. 165 21. Section 3.1. Humans - p. 165 22. Chapter 14. Human Reliability Analysis: From the Nuclear to the Petroleum Sector - p. 171 23. Chapter 15. Human Reliability Analysis in the Petroleum Industry: Tutorial and Examples - p. 181 24. Section 3.2. Costs and Benefits - p. 192 25. Chapter 16. Cost-Benefit Analysis of Safety Measures - p. 195 26. Chapter 17. Cost-Benefit Analysis for Low-Probability, High-Impact Risks: Tutorials and Examples - p. 207 27. Section 3.3. Reputation - p. 217 28. Chapter 18. Reputational Damage After Major Accidents - p. 221 29. Chapter 19. Estimation of Reputational Damage from Major Accidents: Tutorial and Examples - p. 231 30. Part 4. Dynamic Risk Management - p. 241 31. Chapter 20. Dynamic Risk Management in the Perspective of a Resilient System - p. 245 32. Conclusions - p. 259 33. Index - p. 263
