输气场站工艺安全风险分析

针对输气场站HAZOP风险评估出的天然气泄漏风险进行工艺安全量化分析,通过天然气泄漏喷射火模拟,对天然气泄漏风险进行量化,为输气场站的安全管理提供有效的技术支持。通过量化,分析出对天然气泄漏喷射火造成后果大小的影响因素,提高了HAZOP风险分析的准确性和科学性,对输气场站的风险管理具有参考意义。     

HAZOP方法在炼化企业供电系统评估中的应用

基于HAZOP的方法对炼化企业电力系统进行分析,可以有效提高炼化企业电气安全平稳运行水平,降低发生大面积停电事故的风险。该分析方法不同于化工企业的HAZOP分析方法,在分析流程细节中,结合电气专业化的特点,形成了一套具有炼化企业供电系统风险评估特色的评价方法,为炼化企业供电系统在规划、设计、运行等阶段提供依据。     

TOPHAZOP: a knowledge-based software tool for conducting HAZOP in a rapid, efficient yet inexpensive manner

Hazard and operability (HAZOP) studies constitute an essential step in the risk analysis of any chemical process industry and involve systematic identification of every conceivable abnormal process deviation, its causes and abnormal consequences. These authors have recently proposed optHAZOP as an alternative procedure for conducting HAZOP studies in a shorter span of time than taken by conventional HAZOP procedure, with greater accuracy and effectiveness [Khan, F. I. and Abassi, S. A., optHAZOP. An effective and efficient technique for hazard identification and assessment Journal of Loss Prevention in the Process Industries, 1997, 10, 191–204]. optHAZOP consists of several steps, the most crucial one requires use of a knowledge-based software tool which would significantly reduce the requirement of expert man-hours and speed up the work of the study team. TOPHAZOP (Tool for OPTmizing HAZOP) has been developed to fulfil this need.

The TOPHAZOP knowledge-base consists of two main branches: process-specific and general. The TOPHAZOP framework allows these two branches to interact during the analysis to address the process-specific aspects of HAZOP analysis while maintaining the generality of the system. The system is open-ended and modular in structure to make easy implementation and/or expansion of knowledge. The important features of TOPHAZOP and its performance on an industrial case study are described.     

State of research on the automation of HAZOP studies

For more than 30 years, multiple research groups have worked on the automation of hazard and operability (HAZOP) studies, or more specifically on the hazard identification process. So far, very few of these approaches have been used in the chemical process industry. Automatic hazard identification is a knowledge-intensive process that demands high standards with regard to the way in which knowledge is stored and made available. There are various suitable approaches to the qualitative modeling of processes and plants, which are the foundation for reasoning systems that are used for the identification of hazards. Additionally, there are quantitative methods that are based on process simulations and can be used to identify potential hazards. The investigation of the state of research demonstrates that there are sophisticated technologies for automated systems that include powerful reasoning techniques. The benefits and shortcomings of existing technologies are discussed with regard to their industrial applicability. Often, the quality of the necessary specific and generic knowledge is not sufficient to detect potential hazardous events and operational malfunctions. Computer-aided HAZOP systems should be integrated with computer-aided design- or process simulation software using common data models based on the digital representation of the process plant. In order to be used by HAZOP practitioners automated systems need to be comprehensive, serve as specialized decision support systems, and be tested and evaluated using round robin tests.     

A risk reduction approach for academic research labs: A case study on naphthenic corrosion

Academic research and development (R&D) labs are a significant part of academic life. But there can be physical, environmental, and experiment quality risks associated to this activity. Academic labs can present specific experiments, which have associated risks for researchers. Academic labs are also characterized by a high turnover of students and many of them are not fully aware of the level of physical and environmental risks of their activity. Accidents in academic labs with injuries and loss of life are facts that have to be tackled through risk management approaches. The objective of this paper is to present an integrated management approach, tackling risk management and analysis methods. HAZOP (Hazard and Operability Study) and PFMEA (Process Failure Mode and Effects Analysis) enabled, respectively, the analysis of safety and environmental risks. By quantifying the level of risk according to the type of experiment and the research context, it is possible to provide safety to the system. The resulting Digital Poka-Yoke – a mistake-proofing approach – has brought about the desired quality of results in experiments. The proposed approach was validated through a case study monitoring naphthenic corrosion experiments conducted by the Lab of Surface Electrochemistry and Corrosion (LSEC) at the Federal University of Paraná (UFPR). As a consequence, this approach is currently in use at this lab.     

化工生产事故预防信息系统研究

为指导操作人员正确地处理化工生产过程中的问题,防范人为误操作导致的事故发生,开发了以化工生产的危险与可操作性分析结果和典型事故原因分析结果为知识库的事故预防信息系统.系统实时在线监测化工生产过程中的关键变量,通过判定变量间的影响关系,实现对化工生产过程潜在危险的辨识、预警并给予实时操作指导,以确保生产安全,提高装置的生产效率.最后,以丙烯聚合工艺为例,在多功能过程试验控制平台上进行了验证,探讨了事故预防信息系统的应用方法.     

危险及可操作性分析在LNG汽车加气站的应用

利用危险及可操作性分析(HAZOP)技术对液化天然气(LNG)汽车加气站卸车、调压和加液流程进行系统的危险分析和探讨,并提出建议措施。应用实例表明,HAZOP技术可有效地辨识LNG汽车加气站的风险,可作为LNG加气站风险管理的有效工具之一。     

一种基于状态向量推理的SDG-HAZOP分析方法

HAZOP是分析系统可靠性的一种有效方法,在石油、化工工业中得到了广泛应用。但人工HAZOP分析存在费时、费力、成本高等缺点,而计算机辅助SDG-HAZOP分析的提出有效地改善了人工分析的弊端,然而传统的计算机辅助SDG-HAZOP是纯定性的分析与推理,分析的结果往往过于冗繁。本文介绍了一种改进的基于状态向量推理的计算机辅助SDG-HAZOP分析方法,该方法基于SDG定性模型,构造了一个计算机自动推理引擎,并引入了状态向量的概念,通过正向反向推理,快速高效地发掘出偏差产生的后果和原因。通过应用实践表明,与人工HAZOP分析法和现有SDG-HAZOP分析方法相比,该方法具有完备性好、评价结果系统性和条理性强等优点。     

HAZOP与LOPA结合的运用实践

通过将HAZOP与LOPA结合分析的具体事例,阐述了单一的HAZOP分析可能存在的缺陷,同时介绍了将HAZOP与LOPA结合进行HAZOPLOPA分析的优点。     

安全仪表系统等级划分与HAZOP分析的结合应用

介绍了安全仪表等级的划分和HAZOP分析，并用此方法分析了苯酐装置。大多数现役或在建苯酐装置的氧化反应器存在较大的火灾、爆炸危险性，一旦在操作、控制和管理上稍有疏忽，就可能发生火灾、爆炸事故。HAZOP方法针对指定系统进行结构化和系统化的审查，辨识系统中潜在的危害和潜在操作问题，基于HAZOP给出安全仪表等级是今后安全设计的一条新路。