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Quantifying LOPA Uncertainty For Presentation at the 2012 AIChE Meeting In Houston, TX

机译:在休斯顿,德克萨斯州休斯顿的2012年Aiche会议上刊登Lopa不确定性

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Layer of Protection Analysis (LOPA) is a semi-quantitative risk evaluation tool. The methodology is widely used in setting Safety Integrity Level (SIL) targets for safety instrumented systems (SIS). The methodology is often used to evaluate the adequacy of existing protective systems against corporate risk targets. The LOPA method is based on the use of conservative but representative estimates of the failure probability of protective systems. The results of these studies are presented to management for concurrence with the conclusions and for funding of recommendations. Management sometimes asks questions such as: What is the uncertainty in the results? How sensitive are the results to the underlying data? How conservative is the LOPA methodology? Should additional Independent Protection Layers (IPLs) be recommended from the LOPA study to compensate for uncertainty in the results? There is no existing method for the analysis of uncertainty in a LOPA study. This paper presents a framework to answer management questions related to the LOPA imcertainty. Guidance is presented on methods to incorporate an uncertainty analysis into a LOPA or Chemical Process Quantitative Risk Analysis (CPQRA) study.
机译:保护分析层(LOPA)是一个半定量风险评估工具。该方法广泛用于设置安全仪表系统(SIS)的安全完整性水平(SIL)目标。该方法通常用于评估现有保护系统对企业风险目标的充分性。 LOPA方法基于保护系统的失效概率的保守但代表性估计的基础。这些研究的结果呈现给管理层并发,结论和资助建议。管理有时会询问以下问题:结果中的不确定性是什么?结果对底层数据有多敏感? Lopa方法是如何保守的?是否应该从Lopa研究中建议额外的独立保护层(IPLS)来弥补结果的不确定性?在LOPA研究中没有现有方法分析不确定性。本文介绍了一个框架,以回答与LoPA IMCertainty相关的管理问题。提出了将不确定性分析纳入LOPA或化学过程定量风险分析(CPQA)研究的方法的指导。

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