HAZOP方法的定量改进措施研究

HAZOP方法通过结构化和系统化的方式识别潜在的危险与可操作性问题,在化工安全评价中得到了广泛应用.但其做为一种定性评价方法,定量化是其发展的趋势.探讨了定量化风险矩阵技术在HAZOP分析中应用的问题,研究提出了将火灾、爆炸危险指数方法应用于风险矩阵事故后果严重度的计算和将事故树评价方法应用于风险矩阵事故发生概率的计算,实现了风险矩阵的定量化并应用于不饱和聚酯树脂工艺HAZOP分析,为HAZOP分析的定量化提供了一种新的技术方法.     

层次分析法在HAZOP分析中的应用

利用HAZOP分析方法分析系统的工艺流程,找出系统中潜在的风险,提出合理的建议措施。在HAZOP分析的基础上引入层次分析法,基于HAZOP分析的参数建立评价指标体系,实现设备安全评价的半定量化。     

国外化工企业工艺安全技术管理概述

国外化工企业工艺安全技术管理范畴主要包括PHA、MOC、RA/RM、事故调查、其他工艺安全管理工具等。本文主要介绍了国外化工企业常规工艺安全技术管理MOC———变更管理的概念、流程,临时MOC、MSR、PSSR等概念及流程。PHA———工艺危险性分析是国外化工企业工艺安全技术管理核心,主要应用于大型或复杂项目,重点详述了工艺危险性分析的流程、步骤以及四种常用的危险识别方法———HAZOP、SCA、What-If、FEMA的概念、主要步骤、分析过程及主要优点。一旦工艺危险被分析识别后,阐述了如何运用风险评估和风险管理（RA/RM）步骤、后果等级、频率评价、风险等级矩阵和风险降低的主要方法,如何采用故障树FTA和事件树ETA两种不同的方法测算各种事件或故障发生的概率以及事故的后果等级,最后介绍了故障树FTA和事件树ETA的主要步骤和方法。     

Integration of safety instrumented system with automated HAZOP analysis: An application for continuous biodiesel production

Integration of a human-machine interface (HMI) with hazard and operability (HAZOP) analysis is proposed in this work. This concept can potentially lead to the identification of some unexpected deviations, and radically decreases the time necessary for hazard identification. A continuous biodiesel production was simulated. This can be divided into two cases, covering both conventional and reactive distillation. Soybean oil (trioleic, trilinoleic and tripalmitic) at 1000 kg/h as raw material is converted to 99 wt% pure biodiesel. The HMI was designed to improve these processes by combining automatic HAZOP analysis. With this approach, users can receive sufficient information from the simulation to analyze the optimum operation and safety. Severity levels are also provided to classify the actions in the process. Severity levels 1 and 2 are concerned with operating conditions, which are 58-64 °C, and 50-150 kPa. If the analysis shows severity level 3, the safety instrumented system (SIS) will automatically manage the operation in order to reduce/restrain the amount of damage at this level. This proposed system could minimize the damage and also improve the overall quality of the process.     

HAZOP分析在润滑油糠醛精制装置的应用

通过糠醛精制装置HAZOP分析,提出相应的安全改进建议。HAZOP分析研究结果,对于装置的日常生产与维护以及装置的安全管理提供了良好的指导作用。     

HAZOP和LOPA集成风险评估技术研究

介绍和总结了危险与可操作性分析(HAZOP)、保护层分析(LOPA)两种方法的特点和它们之间的关系。对于HAZOP分析识别出来的重大事故场景,进一步采取半定量的LOPA分析方法加以补充和完善,确定装置设置的保护层是否足够。最后以加氢反应进料加热炉为例,说明通过两种分析方法数据和信息的共享,提高石油化工企业风险评估的客观性和准确性。     

HAZOP技术在硫磺回收联合装置的应用

介绍了HAZOP技术应用的有关法规要求和技术要点,并将该技术应用于在役硫磺回收联合装置,系统识别了装置存在的工艺危险和可操作性问题,利用风险矩阵评估了事故场景的风险等级,提出了建议措施。     

HAZOP在封闭式地面火炬设计上的应用

运用HZAOP分析方法,对封闭式地面火炬进行风险辨识,以某地面火炬为例,系统分析了泄放气流量、液含量、烟气出口温度、火炬筒体温度、火焰高度、燃烧状态、噪声等控制参数有意义的偏差、可能的原因、可能导致的后果,并针对高风险的偏差提出建议措施。分析结果表明,HAZOP应用于封闭式地面火炬设计,能系统地辨识地面火炬中存在的安全隐患,有助于提高装置的本质安全。     

A method for assisting the accident consequence prediction and cause investigation in petrochemical industries based on natural language processing technology

Risk analysis for production processes in the petrochemical industry is an important procedure for consequence prediction and investigation of accidents. The analyzer must grasp the correlations between the possible causes and consequences. From the potential cause and effect found in risk analysis reports, complete clarification should be obtained. Therefore, this study presents a method for assisting accident consequence prediction and investigation in the petrochemical industry based on risk analysis reports using natural language processing technology. First, a hazard and operability (HAZOP) historical data table is established by filling over 7200 HAZOP analysis data points. Both the causes and consequences in the table are classified into 20 categories each using the Latent Dirichlet Allocation (LDA) models. The LDA clustering results are assigned classification for the cause and consequence topics to the cause and consequences of the HAZOP analysis data. Based on part-of-speech (POS) tagging, all the words in each cause and consequence record are divided into subject and action words. Next, the word combinations of subject and action words with a higher occurrence are considered the key phrases for describing and representing the corresponding cause and consequence topic classifications. The Apriori algorithm is used to determine the frequent item sets, acquire the association rules, and calculate the association degree to obtain the sort order; it can highlight general trends in relational cause and consequence topics. According to the results, the most likely cause of the consequence and the most likely consequence that the cause may lead to are identified. Finally, a visual interface is developed to present the data for the consequence prediction and cause investigation of accidents. The results reveal that the quantity and quality of historic data are important factors that may influence the results. This method can contribute to predicting the accident evolution trend of an abnormal situation, taking preventive measures in advance, improving the accuracy of early warning, and supporting emergency response measures.     

Safety analysis and risk assessment of a Micro-GtL Plant

Laboratory hydrogen generators, medical oxygen, and micro-breweries are examples of modular and micro technologies that are commercial successes. Researchers, patients, and unskilled workers operate these facilities but more complex processes require highly qualified personnel to ensure they operate safely. Modular-micro processes in isolated locations meet economic objectives when operated remotely thereby minimizing labor costs. Mitigating the risk requires a comprehensive hazards analysis with advanced control systems particularly for explosive and toxic compounds. Here, we propose a method called Failure Mode Risk Decision (FMRD) to review the inherent hazards of a micro-refinery unit (MRU) that converts flared and wasted natural gas to long chain hydrocarbons. This approach combines the Process Flow Failure Mode (PFFM) methodology as a systematic and reliable technique with a novel numerical risk assessment to improve the analytical evaluation of hazardous conditions. The objective is to combine causes and consequences in a single metric, where scaled probability of evident causes and severity of consequences are used to derive a risk level measure. With the proposed metric, the magnitude of a potential hazard is directly correlated with the risk level. This mechanism identifies extra risk scenarios compared to the classical hazard analysis method and provides a straightforward comprehensive numerical assessment to represent the inherent and residual risks to facilitate justifying the hazardous scenarios. Accordingly, we design a safety loop and supply all the required facilities to remove the potential risks at the process plant. Not only the proposed methodology clarifies the risks of the MRU presented in this study, but can be extended to review the hazards of other chemical process plants.