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Dynamic Risk Analysis in the Chemical and Petroleum Industry

- Evolution and Interaction with Parallel Disciplines in the Perspective of Industrial Application

Forfatter: info mangler
Bog
  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

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.

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  • Vægt610 g
  • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Explosion Fire Dispersion Risk Risk management Calorimetry Safety Cost-Benefit Analysis Safety Management Computational fluid dynamics Bayesian inference LPG Hazardous Material Risk analysis CFD models Hazard Identification Bayesian analysis Event study Dynamic bayesian network Indicators Human Reliability Analysis Differential Scanning Calorimetry Black swans Bayesian network Multicriteria decision making Risk ranking Anticipation ATHEANA Atypical accident scenario BIDRA Atypical accident scenarios Bayesian inference-based dynamic risk assessment chemical process industry Chemical reaction hazards Consequence assessment Bow�tie analysis Dynamic risk visualization Dynamic Risk Assessment DyPASI Human and organizational factors Decision-Making Support Dicumyl peroxide Disproportion factor Drive-off scenario dragon kings Human error quantification Human failure event Dynamic consequence analysis Dynamic positioning operator Dynamic Approach Limited memory influence diagram LNG Regasification financial loss Frequency update Heavy gas dispersion modeling Prevention and preparedness at the margins of organizational capabilities Proactive approach Proactive dynamic risk analysis QRA Resilience in the context of chemical and petroleum industry Reactive dynamic risk analysis Perfect storms Resilience in the context of compliance Safety economics Safety/risk indicators Risk barometer Risk impact from experienced and presumed resilience Risk trend Runaway Reaction Shape of safety (SoS)SoS safety proxy to sensitize risk assessments Source terms models Major accident SPAR-H Thermal explosion Petroleum sector HRA Reactive approach Reputational cost Unknown unknowns Probability updating Risk Metrics THERP Viareggio accident
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