Description
Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions:- What are the most relevant developments of risk analysis?- How can these studies help industry in the prevention of major accidents? 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.- Helps dynamic analysis and management of risk in chemical and process industry- Provides industry examples and techniques to assist you with risk- based decision making- Addresses also the human, economic and reputational aspects composing the overall risk picture
Table of Contents
Part I: Introduction 1. A short overview of risk analysis background and recent developments 2. New definitions of old issues and need for continuous improvementPart II: Dynamic Risk Analysis Sub-section 1: Hazard Identification 3. Advanced techniques for dynamic hazard identification 4. Dynamic hazard identification: tutorial and examplesSub-section 2: Frequency Analysis 4. Reactive approaches of probability update based on Bayesian inference 5. Proactive approaches of dynamic risk assessment based on indicators 6. Coupling of reactive and proactive approaches: tutorials and examples 7. Comparison and complementarity between reactive and proactive approachesSub-section 3: Consequence Analysis 8. Dynamic consequence analysis through Computational Fluid Dynamics modelling 9. Computational Fluid Dynamics modelling: tutorial and examples 10. Assessing the severity of thermal hazards 11. Thermal hazard assessment: tutorial and examplesSub-section 4: Establishing the Risk Picture 12. Risk metrics and dynamic risk visualizationPart III: Interaction with Parallel Disciplines Sub-section 1: Humans 13. Human Reliability Analysis: from the nuclear to the petroleum sector 14. HRA in the petroleum industry: tutorial and examplesSub-section 2: Costs and Benefits 15. Cost-Benefit Analysis of safety measures 16. Cost-Benefit Analysis for low-probability high-impact risks: tutorial and examplesSub-section 3: Reputation 17. Reputational damage following major accidents 18. Estimation of major accident reputational damage: tutorial and examplesPart IV: Dynamic Risk Management 19. Dynamic Risk Management in the perspective of a resilient system
