Dynamic risk analysis in the chemical and petroleum industry : evolution and interaction with parallel disciplines in the perspective of industrial application

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? Paltrin...

Full description

Saved in:
Bibliographic Details
Other Authors Paltrinieri, Nicola, Khan, Faisal I.
Format Electronic eBook
LanguageEnglish
Published Oxford, United Kingdom : Butterworth-Heinemann : Elsevier, 2016.
©20
SeriesButterworth-Heinemann/IChemE series.
Subjects
Chemical industry > Risk assessment.
Petroleum industry and trade > Risk assessment.
elektronické knihy
electronic books
Online AccessFull text
ISBN0128038233
9780128038239
9780128037652
0128037652
Physical Description1 online resource (286)

Cover

Table of 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.
  • 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.
  • 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.
  • 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.
  • 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.

Similar Items