工业事故风险评价模型

对风险的概念和度量进行了探讨，在总结和回顾风险评价方法的基础上，提出了适合工业事故的风险评价模型。     

Chronicles of security risk assessment in process industries: Past,present and future perspectives

Security incidents around the world causes enormous loss in terms of life, economy, and environment. The 9/11 ′triggered the serious onset of research initiatives in the field of security with a more specific focus on the protection of high sensitive and hazardous facilities. It is well known that technology is advancing in a very rapid phase, proportionally increasing the security risk of the facilities. Conventional deterministic risk techniques widely found their applications in the earlier stage but owing to the increasing dynamic nature of the security risk, probabilistic dynamic risk assessment models were developed over time. In this article, the authors attempted to present the evolution of security risk concepts, their present status, and their future scope in a precise and consolidated form. The last 20 years of development in the security risk assessment concept involving deterministic and dynamic risk assessment models and applications in security risk assessment relevant to physical security are discussed in this article. The objective of the article is to outline the past, current and future directions of security risk highlighting their strength, weakness and limitations.     

Dynamic risk assessment using failure assessment and Bayesian theory

To ensure the safety of a process system, engineers use different methods to identify the potential hazards that may cause severe consequences. One of the most popular methods used is quantitative risk assessment (QRA) which quantifies the risk associated with a particular process activity. One of QRA's major disadvantages is its inability to update risk during the life of a process. As the process operates, abnormal events will result in incidents and near misses. These events are often called accident precursors. A conventional QRA process is unable to use the accident precursor information to revise the risk profile. To overcome this, a methodology has been proposed based on the work of Meel and Seider (2006). Similar to Meel and Seider (2006) work, this methodology uses Bayesian theory to update the likelihood of the event occurrence and also failure probability of the safety system. In this paper the proposed methodology is outlined and its application is demonstrated using a simple case study. First, potential accident scenarios are identified and represented in terms of an event tree, next, using the event tree and available failure data end-state probabilities are estimated. Subsequently, using the available accident precursor data, safety system failure likelihood and event tree end-state probabilities are revised. The methodology has been simulated using deterministic (point value) as well as probabilistic approach. This Methodology is applied to a case study demonstrating a storage tank containing highly hazardous chemicals. The comparison between conventional QRA and the results from dynamic failure assessment approach shows the significant deviation in system failure frequency throughout the life time of the process unit.     

基于事故发展与控制的隐患分级方法

为使隐患管理工作更加科学,对隐患与事故的关系进行研讨,提出隐患的根本属性是能够促使事故发生或发展。通过预估促使和控制(阻碍)事故发展的因素,来揭示隐患在事故过程中的作用机制。根据发生作用的时间将隐患分为第1类隐患和第2类隐患。在风险评估过程中,解决了具体隐患风险分级的问题,提出隐患暴露频率、其他条件的可能性、隐患纠正系数、事故后果初始分值、人员防护修正系数、人员暴露修正系数、应急处理与事故控制修正系数和财产损失修正系数等评价指标。通过隐患致因事故风险的计算,评估隐患的最终风险。     

Methods and models in process safety and risk management: Past,present and future

The paper reviews past progress in the development of methods and models for process safety and risk management and highlights the present research trends; also it outlines the opinions of the authors regarding the future research direction in the field. Based on the open literature published in the leading journals in the field of safety, risk and reliability, the review covers the evolution of the methods and models developed for process safety and risk management. The methods and models are categorized as qualitative, semi-quantitative, quantitative and hybrid. The progress in the last few decades is discussed in the context of the past. Developments in the current decade formulate the basis of the present trends; future directions for research in these fields are also outlined. The aim of the article is to provide a historical development in this field with respect to the driving forces behind the development. It is expected that it will help researchers and industrial practitioners to gain a better understanding of the existing concepts. At the same time the aim is to provide direction to bridge the existing gaps through research and developments.     

丁二烯储罐泄漏事故定量风险评价

为了有效预防丁二烯引发的事故,基于定量风险评价的指标,以某企业丁二烯储罐为工程实例,采用重大危险源区域定量风险评价软件CASST-QRA,模拟丁二烯储罐泄露事故后果影响范围,定量评价其对周边环境所造成的风险大小和可接受程度。结果表明:某企业的丁二烯储罐个人风险和社会风险均可接受,模拟结果可为制订应急救援预案及安全防范措施提供参考;同时,研究成果可以对企业的安全管理和有关行政部门的安全监督提供指导与依据,也为其他丁二烯储罐的管理和运行提供借鉴。     

事故预测数学模型的研究与实践

依据收集统计的、真实可靠的事故数据,运用数学方法及建立的多种事故预测模型,在工作中理论与实际相结合,提出并建立了事故预测数学模型,给出具体方法与步骤,以及应用中应遵循的原则和规律,从而做到对将来发生的事故未卜先知,用以指导安全生产活动,预防事故发生。同时,根据我国近18年来各类事故死亡人员的数据建立事故预测数学模型,并运用确立的最佳事故预测数学模型而预测出的事故数据,探讨我国伤亡事故发生的趋势。     

On the need for system-theoretic hazard analysis in the process industries

Most process hazard analysis (PHA) studies today are conducted using traditional methods such as the hazard and operability study (HAZOP). Traditional methods are based on a chain-of-events model of accident causality. Current models of accident causality are based on systems theory and provide a more complete representation of the causal factors involved in accidents. Consequently, it is logical to expect that PHA methods should reflect these models, that is, system-theoretic hazard analysis (STHA) should be used. Indeed, system-theoretic process analysis (STPA) has been developed as such a method. STPA has been used in a variety of industries but, at this time, it has not gained acceptance by the process industries. This article explores the reasons for this situation. Expectations for PHA in the process industries are examined and issues for the application of STPA in the process industries are discussed. It is concluded that a variety of matters must be addressed before STPA can be considered as a viable PHA method for the process industries and the case for the use of STHA in the process industries is not yet proven.     

Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network

The growing demand for natural gas has pushed oil and gas exploration to more isolated and previously untapped regions around the world where construction of LNG processing plants is not always a viable option. The development of FLNG will allow floating plants to be positioned in remote offshore areas and subsequently produce, liquefy, store and offload LNG in the one position. The offloading process from an FLNG platform to a gas tanker can be a high risk operation. It consists of LNG being transferred, in hostile environments, through loading arms or flexible cryogenic hoses into a carrier which then transports the LNG to onshore facilities. During the carrier's offloading process at onshore terminals, it again involves risk that may result in an accident such as collision, leakage and/or grounding. It is therefore critical to assess and monitor all risks associated with the offloading operation. This study is aimed at developing a novel methodology using Bayesian Network (BN) to conduct the dynamic safety analysis for the offloading process of an LNG carrier. It investigates different risk factors associated with LNG offloading procedures in order to predict the probability of undesirable accidents. Dynamic failure assessment using Bayesian theory can estimate the likelihood of the occurrence of an event. It can also estimate the failure probability of the safety system and thereby develop a dynamic failure assessment tool for the offloading process at a particular FLNG plant. The main objectives of this paper are: to understand the LNG offloading process, to identify hazardous events during offloading operation, and to perform failure analysis (modelling) of critical accidents and/or events. Most importantly, it is to evaluate and compare risks. A sensitivity analysis has been performed to validate the risk models and to study the behaviour of the most influential factors. The results have indicated that collision is the most probable accident to occur during the offloading process of an LNG carrier at berth, which may have catastrophic consequences.     

人群拥挤踩踏事故的场所高危点统计与分析

本文首先对人群拥挤踩踏事故的发生场所进行了统计,通过对场所的特征分析,总结了学校、宗教场所、体育场所、街道、歌舞娱乐场所、地铁站、公园、大型商场等人群容易聚集场所的事故高危点。然后对楼梯、过道、坡面、桥梁、出入口、地下通道等高危点进行了详尽的分析,并对高危点的特点进行了总结,分析了高危点的危险度。本文的统计与分析结果能够为人群聚集活动的安全预案制定、高危点识别、安保人员设置等提供客观的参考。     

事故调查分析方法与技术述评

根据事故的原因结果模型、过程模型、能量模型、逻辑树模型、SHE管理模型将事故调查分析技术方法归纳为5大类,介绍了广泛使用的事故调查分析技术方法的特点,并按一定的标准进行分析和比较。分析表明:每种方法都有其不同的应用领域和优缺点,应针对不同领域问题选用合适的分析方法,多种调查技术组合分析适用于复杂事故的调查;考虑事件次序及其影响因素的调查方法,便于提出预防事故再次发生和减少风险的建议,图表阐述有利于鉴别信息缺陷,并使调查组之间的沟通有力;笔者在调查过程中注重于非正常分析方法得出的结果,宜采用更为先进的事故分析技术方法以保证事故调查的客观性。     

Accident in a French dynamite factory: An example of an organisational investigation

The 27th of March 2003, an explosion caused the death of four employees in a Nitrochimie pyrotechnic plant, at Billy Berclau, in the north of France. Following the accident, the ministry of Ecology and Sustainable Development appointed INERIS to perform an investigation. According to the terms of reference, the investigation would cover technical (origins of the explosion, extent of damages) as well as organisational issues, as defined by SEVESO II safety management system requirements. This paper has a threefold purpose. It intends first to illustrate with an empirical case the current trend in safety auditing and accident investigation, targeting organisational factors, alongside human factors. There are not so many published cases of accidents analysed with an organisational perspective. Secondly, it shows that it is possible to investigate organisational dimensions (through articulation of safety engineering, safety management and human and social sciences) within reasonable time frames and a reasonable amount of resources. By focusing on key actors and asking appropriate questions related to key dimensions, investigating organisational accidents might not necessarily imply spending much more resources than other steps such as damage assessment, chronological construction or identification of technical scenarios, although there are also some prerequisite conditions needed to achieve this. Finally this paper should be seen as a technical communication beyond the pyrotechnic industry.     

基于事故理论的城市轨道交通风险评价模型研究

笔者分析了城市轨道交通事故,在分析我国其他行业事故分类的基础上,确定城市轨道交通事故分类标准,即重大事故、大事故、险性事故和一般事故,并将不同事故分类情况及专家判断评分,按事故的大小不同换算成可以计算的计算尺度,根据事故种类不同计算出事故折算因子,根据风险理论的评价方法,建立了地铁风险评价模型,对地铁的危险性进行量化定级,并通过具体实例进行综合分析评价,该风险评价模型具有一定的工程意义。     

Carbon dioxide pipelines: A statistical analysis of historical accidents

Carbon dioxide pipeline is an essential carrier in carbon capture, utilization, and storage (CCUS). Statistically revealing the accident rate and risk of carbon dioxide pipelines is conducive to integrity management. Based on 112 accident records collected from Pipeline & Hazardous Materials Safety Administration, this work analyzes the frequency, rate, and risk of accidents. In addition, the impact of relevant factors on risk is further discussed. Some primary conclusions are as follows: (1) For carbon dioxide pipelines, the leak is the leading form of accident. Most carbon emissions are generated in the form of leakage, but economic losses are mainly generated in other forms. (2) The pipelines that have been in service for 0–10 years have the highest frequency of accidents and the highest proportion of carbon emissions, but the pipelines that have been in service for 11–20 years have caused the most economic losses. (3) Among the accident causes, the number of accidents caused by equipment failure is the highest, while the economic loss caused by natural force damage is the highest, and the carbon emission caused by material failure is the highest.     

水上交通事故分析研究进展

为更好地开展水上交通事故分析研究,提高我国水上交通安全水平,从船舶风险评估与事故预测、事故分析以及事故及通航安全数据的组织与数据库建立3个方面对国内外的相关研究进行论述和分析。提出以建立水上交通事故时空数据平台为基础,结合数据挖掘和安全工程的理论方法研究事故发生机理,评估事故风险,并将研究事故模拟再现技术作为事故分析的重要技术手段。     

国内外化学事故数据库的发展现状与展望

为完善我国化学事故数据库,充分发挥其在预防事故中的作用,通过研究美国、欧洲和日本等国家化学事故数据库的发展现状及其特点,分析我国化学事故数据库目前存在的问题。研究表明:国外化学事故数据库发展较完善,其数据结构设计较合理,且事故信息全面、准确,事故数量多;而我国化学事故数据库建设还比较落后,存在数据结构设计简单、标准不统一、数据可靠性差,很多事故信息也未能共享等问题。因此,在发展我国化学事故数据库时,应确保事故数据的数量、质量和多样性,重视未遂事故信息的收集,设计合理的数据结构,并实现数据共享,使其为事故原因分析、事故研究、安全评价和安全培训提供数据支持。     

Operational risk assessment: A case of the Bhopal disaster

Accidental releases of hazardous chemicals from process facilities can cause catastrophic consequences. The Bhopal disaster resulting from a combination of inherently unsafe designs and poorly managed operations is a well-known case. Effective risk modeling approaches that provide early warnings are helpful to prevent and control such rare but catastrophic events. Probability estimation of these events is a constant challenge due to the scarcity of directly relevant data. Therefore, precursor-based methods that adopt the Bayesian theorem to update prior judgments on event probabilities using empirical data have been proposed. The updated probabilities are then integrated with consequences of varying severity to produce the risk profile.This paper proposes an operational risk assessment framework, in which a precursor-based Bayesian network approach is used for probability estimation, and loss functions are applied for consequence assessment. The estimated risk profile can be updated continuously given real-time operational data. As process facilities operate, this method integrates a failure-updating mechanism with potential consequences to generate a real-time operational risk profile. The real time risk profile is valuable in activating accident prevention and control strategies. The approach is applied to the Bhopal accident to demonstrate its applicability and effectiveness.     

铁路事故致因与风险分析

为保障铁路运输安全、预防铁路事故的发生,全面系统地分析各种铁路安全影响因素。基于美国2005年铁路事故的相关统计资料,采用灰色系统理论分析铁路事故致因,确定不同事故类型中各安全影响因素的主次关系;并以蒙特卡罗风险分析方法为基础,运用@Risk软件从人-机-环及时间的角度出发,对各因素的风险概率进行拟合。结果表明:人员-设备因素是导致事故的主要因素,针对人员-设备因素采取适当的预防措施便能有效减少铁路事故的发生。     

Quantitative risk assessment integrated with dynamic process simulation for reactor section in heavy oil desulfurization process

A new methodology for quantitative risk assessment (QRA) integrated with dynamic simulation and accident simulation is proposed. The objective of this study is to discover inherent risks that are undetectable by conventional risk analysis methods based on steady-state conditions. The target process is the reactor section in the heavy oil desulfurization (HOD) process, which is likely to pose vast potential risks due to the high operating conditions of pressure and temperature. First, a dynamic simulation of a shut-down procedure was performed to observe the behavior of process variables using Aspen HYSYS V10, which is a commercially available process software. Based on the results of the dynamic simulation, several blind spots indicating a higher operating pressure than that in the steady-state simulation were identified. To assess the risks of the detected blind spots, a QRA was performed using the commercial software of SAFETI V8.22, which performs risk calculation based on consequence and frequency data. As a result of applying the proposed method to the HOD process, the risk assessment outcome was identified as intolerably risky unlike that of steady-state conditions, thereby indicating that dynamic simulations can serve as a method to spot inherent risks that are undetectable in steady-state conditions. In addition, mitigation procedures that reduce the risk of the process to a tolerable level are performed, thereby enabling a safer and more reliable process.     

化工企业危险性评价述评

对化工企业危险性评价的定义，内容和分类方法进行了介绍，并就化工危险性评价中存在的不确定性问题进行了分析，同时对提高化工企业危险性评价质量的途径进行了探讨。