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John Wiley & Sons Inc Layer of Protection Analysis: Simplified Process Risk Assessment

GTIN: 9780816908110
Esto logoväikelaenuga 7,35 € kuus
Written for designers and operators of chemical facilities, this guide provides instruction on the use of Layer of Protection Analysis (LOPA) to evaluate risk and make decisions concerning risk management. It offers a history and overview of LOPA, followed by chapters on specific topics, including: estimating consequences and severity, developing scenarios, identifying initiating event frequency, identifying independent protective layers, determining the frequency of scenarios, making risk decisions, and implementing LOPA. Secondary uses of LOPA are also detailed. Annotation c. Book News, Inc., Portland, OR (booknews.com) Layer of protection analysis (LOPA) is a recently developed, simplified method of risk assessment that provides the much-needed middle ground between a qualitative process hazard analysis and a traditional, expensive quantitative risk analysis. Beginning with an identified accident scenario, LOPA uses simplifying rules to evaluate initiating event frequency, independent layers of protection, and consequences to provide an order-of-magnitude estimate of risk. LOPA has also proven an excellent approach for determining the safety integrity level necessary for an instrumented safety system, an approach endorsed in instrument standards, such as ISA S84 and IEC 61511. Written by industry experts in LOPA, this pioneering book provides all the necessary information to undertake and complete a Layer of Protection Analysis during any stage in a processes' life cycle. Loaded with tables, charts, and examples, this book is invaluable to technical experts involved with ensuring the safety of a process. Because of its simplified, quicker risk assessment approach, LOPA is destined to become a widely used technique. Join other major companies and start your LOPA efforts now by purchasing this book. Autorid: CCPS (Center for Chemical Process Safety)

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Toode lisatud2026-01-13

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