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The Application of Bow-Tie Method in Hydrogen Sulfide Risk Management Using Layer of Protection Analysis (LOPA)

机译:使用保护分析层(LOPA)在硫化氢风险管理中的应用(LOPA)在硫化氢风险管理中的应用

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摘要

Safety systems need to be used in strong and stable ways to achieve the objectives and goals of organizations. The main role of safety systems is highlighted ever than before in maintaining personnel health, environmental protection and improves the reputation of the organizations. Proper functioning of safety system depends on the reliability and the failure probability of the system, which determines the integrated system safety. In this regard, this study aimed to H_2S risk management using bow-tie model with an emphasis on Layer of Protection Analysis (LOPA). An oil processing and gas injection plant is selected as a case of study with considering the high concentration of H_2S (130,000 ppm) as well as very high pressure of gas injection (410 bars). This work commences when hazardous regions is categorized according to H_2S gas leakage resources which followed by H_2S risk assessment (bow-tie model). In the following stage, intelligent safety systems were investigated as one of the LOPAs. Thus, the elements of intelligent safety systems are specified. Based upon the software-defined logic, block diagrams were determined. Then, Probability of Failure on Demand (PFD) and Safety Integrity Level (SIL) were attained. PFD of block diagrams was calculated, and corresponding SIL was obtained using Reliability Block Diagram and the relationships between PFD and reliability. As a result, each of elements or block diagrams was considered the weak points. Accordingly, solutions were proposed to reduce the adverse effects and promote SIL to improve safety performance of plant.
机译:安全系统需要以强大而稳定的方式使用来实现组织的目标和目标。安全系统的主要作用是突出的,而不是在维护人员健康,环境保护,提高组织的声誉之前。安全系统的正常功能取决于系统的可靠性和故障概率,它决定了集成系统安全。在这方面,本研究旨在使用弓领导模型的H_2S风险管理,重点是保护分析层(LOPA)。选择油加工和气体注射厂作为考虑高浓度的H_2S(130,000ppm)以及气体注射的非常高压(410巴)作为研究的案例。当危险区域根据H_2S气体泄漏资源进行危险区域进行分类时,这项工作开始于H_2S风险评估(BOW-TIE模型)。在下一阶段,智能安全系统被调查为LoPas之一。因此,指定了智能安全系统的元素。基于软件定义的逻辑,确定了框图。然后,达到了需求失败(PFD)和安全完整性水平(SIL)的概率。计算框图的PFD,使用可靠性框图和PFD和可靠性之间的关系获得相应的SIL。结果,每个元素或框图被认为是弱点。因此,提出了解决方案以降低不利影响,促进SIL以提高植物的安全性能。

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