| Description |
1 online resource (286) |
| Series |
IChemE |
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Butterworth-Heinemann/IChemE series.
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| Contents |
Front Cover; DYNAMIC RISKANALYSIS IN THECHEMICAL AND PETROLEUM INDUSTRY; DYNAMIC RISKANALYSIS IN THECHEMICAL AND PETROLEUM INDUSTRY: Evolution and Interaction with Parallel Disciplines in the Perspective of Industrial Application; Copyright; CONTENTS; CONTRIBUTORS; PREFACE; I -- Introduction; 1 -- A Short Overview of Risk Analysis Background and Recent Developments ; 1. INTRODUCTION; 2. FUNDAMENTALS OF RISK ANALYSIS; 2.1 Quantitative Risk Analysis; 2.2 Applications, Accomplishments, and Limitations of QRA in the Chemical Process Industry; 3. WAY FORWARD: DYNAMIC RISK ASSESSMENT APPROACHES. |
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3.1 Potential Improvements and Limitations4. CONCLUSIONS; REFERENCES; 2 -- New Definitions of Old Issues and Need for Continuous Improvement ; 1. INTRODUCTION; 2. ATYPICAL ACCIDENT SCENARIOS; 3. BLACK SWANS; 4. DRAGON KINGS; 5. SMALL THINGS; 6. CONCLUSIONS; REFERENCES; ll -- Dynamic Risk Analysis; 2.1 -- Hazard Identification; 3 -- Advanced Technique for Dynamic Hazard Identification ; 1. INTRODUCTION; 2. A FRAMEWORK FOR THE IDENTIFICATION OF ATYPICAL SCENARIOS; 3. STATE OF THE ART; 4. DYNAMIC PROCEDURE FOR ATYPICAL SCENARIOS IDENTIFICATION. |
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4.1 Hazard Identification Deficiencies Tackled by DyPASI4.1.1 Completeness; 4.1.2 Reproducibility; 4.1.3 Inscrutability; 4.1.4 Relevance of Experience; 4.1.5 Subjectivity; 4.2 Limitations and Integration With Other Techniques; 5. CONCLUSIONS; REFERENCES; 4 -- Dynamic Hazard Identification: Tutorial and Examples ; 1. INTRODUCTION; 2. METHODOLOGY TUTORIAL; 2.1 Step 0: Preliminary Activity; 2.2 Step 1: Retrieval of Risk Notions; 2.3 Step 2: Prioritization; 2.4 Step 3: Atypical Scenarios Identification; 2.5 Step 4: Definition of Safety Barriers; 2.6 Follow-up; 3. APPLICATION OF THE APPROACH. |
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3.1 Bow-Tie Analysis3.2 DyPASI Application; 4. CONCLUSIONS; REFERENCES; 2.2 -- Analysis of Initiating Events; 5 -- Reactive Approaches of Probability Update Based on Bayesian Methods ; 1. INTRODUCTION; 2. BAYESIAN INFERENCE; 2.1 Bayes' Theorem; 2.2 Hierarchical Bayesian Analysis; 3. BAYESIAN NETWORK; 3.1 Conventional Bayesian Network; 3.2 Dynamic Bayesian Network; 3.2.1 Interval-based Dynamic Bayesian Network; 3.2.2 Instant-based Dynamic Bayesian Network; 4. LIMITED MEMORY INFLUENCE DIAGRAM; 5. CONCLUSIONS; REFERENCES; 6 -- Proactive Approaches of Dynamic Risk Assessment Based on Indicators. |
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1. INTRODUCTION2. PROACTIVE AND DYNAMIC FEATURES; 3. TECHNIQUES FOR DEVELOPMENT OF INDICATORS; 4. TECHNIQUES FOR FREQUENCY MODIFICATION; 5. THE RISK BAROMETER TECHNIQUE; 5.1 Support to Decision-Making; 6. CONCLUSIONS; REFERENCES; 7 -- Reactive and Proactive Approaches: Tutorials and Example ; 1. INTRODUCTION; 2. METHODOLOGY TUTORIAL; 2.1 Bayesian Inference-based Dynamic Risk Assessment; 2.1.1 Step 0: Scenario Identification; 2.1.2 Step 1: Prior Function Formation; 2.1.3 Step 2: Likelihood Function Formation; 2.1.4 Step 3: Posterior Function Evaluation; 2.1.5 Step 4: Frequency Updating. |
| Note |
Includes index. |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Subject |
Chemical industry -- Risk assessment.
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Petroleum industry and trade -- Risk assessment.
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Industries chimiques -- Évaluation du risque. |
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Pétrole -- Industrie et commerce -- Évaluation du risque. |
| Added Author |
Paltrinieri, Nicola.
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Khan, Faisal I.
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| Other Form: |
Print version: Dynamic risk analysis in the chemical and petroleum industry. Oxford, United Kingdom : Butterworth-Heinemann : Elsevier, 2016 0128037652 9780128037652 (OCoLC)956958898 |
| ISBN |
0128038233 (electronic bk.) |
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9780128038239 (electronic bk.) |
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