改进的HAZOP风险评价方法

HAZOP方法是一种使用简单却高度专业化、系统化,能够覆盖过程工业安全评价各个环节的危险辨识与评估方法。但是,HAZOP方法作为一种定性风险分析方法,仅仅是从定性方面分析装置中是否存在的潜在风险,对于存在的潜在风险,不能量化其严重度和可能性,HAZOP定量/半定量化分析成为本研究领域的发展趋势。本文从三个方面提出了改进HAZOP分析方法。首先,由于工艺参数和引导词构成偏差,根据工艺参数的分类,将偏差划分为数值型和逻辑型,进行了一步半定量化;其次,引入了毒性参数,对后果严重等级重新划分为五级;最后根据风险矩阵理论,运用风险矩阵C=X＋Y规则,计算出风险矩阵,按照风险评价的需要并且根据生产的实际安全管理状况,划分风险等级为四级,得到了新的风险矩阵,从而把HAZOP分析法从一种定性的方法改进为一种半定量的方法。     

基于三角模糊数的HAZOP分析在石油化工装置中的应用

工艺危害分析强调运用系统的方法对危害进行辨识、分析,并采取必要的措施消除和减少危害。HAZOP分析能对工艺过程非常系统、全面的进行分析,但传统的HAZOP分析在量化风险时,对于偏差原因发生的可能性评价存在较大的主观性。本文对于没有统计资料的HAZOP分析偏差原因发生可能性,采用专家打分法,利用三角模糊数来表示其模糊发生概率。对于有统计资料的偏差原因,直接表示成三角模糊数。这种方法能够很好的表示HAZOP分析偏差发生概率。介绍了基于三角模糊数的HAZOP分析步骤,并在石油化工装置中进行了应用。这对HAZOP分析技术在石油化工装置中的推广具有重要意义。     

A data similarity based analysis to consequential alarms of industrial processes

The analysis of consequential alarms is beneficial to avoiding alarm flooding and finding out root alarms in an industrial process. In this context, a novel similarity computation method taking into account of correlation delays between process alarms is introduced firstly. Subsequently, the Granger causality method is suggested to further clarify mutual impacts of similar alarm variables based on process data. Through the combination of alarm data similarity analysis and process data causality analysis, the consequential alarms can be effectively identified along with their evolution paths. An industrial case is employed to illustrate the benefits of the contribution.     

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.     

基于模糊数学的石油化工装置HAZOP风险分析技术研究

对传统的HAZOP分析中偏差原因发生可能性进行量化。对于有统计数据的,根据行业数据、公司经验及企业事故建立HAZOP风险分析统计数据库;对于没有统计数据的HAZOP分析偏差原因发生概率,通过专家主观评判,用模糊数理论将专家自然语言转换为模糊数,采用左右模糊排序法将模糊数转换为模糊失效概率值。研究了偏差后果严重程度的划分标准,并根据偏差原因概率和偏差后果严重程度确定风险等级,利用风险矩阵得出偏差风险的大小。从而把HAZOP分析方法从定性改进为半定量的分析方法。据此对石油化工装置进行了HAZOP风险分析。     

基于因果依赖图的HAZOP推理方法研究

HAZOP分析方法自提出至今在石油化工领域一直被广泛应用,为代替传统HAZOP人工头脑风暴分析的过程,提出基于因果依赖图(CDG)的HAZOP推理方法,即CDG-HAZOP。首先建立系统的多级流模型,将系统生产过程抽象为流过程,用简单的功能图形符号来表示复杂的装置,然后利用多级流模型中的告警分析算法代替人工头脑风暴分析,推理偏差的可能原因和结果。CDG-HAZOP推理机制将传统HAZOP分析的重点由人工分析大量资料转移到多级流模型(MFM)的建立和校验上,能节约人工成本。将CDG-HAZOP推理方法用于催化裂化装置的反应-再生系统,对该系统可能发生的偏差进行原因和后果推理。     

A risk-based approach to design warning system for processing facilities

Alarm flooding is a major safety issue in today's processing facilities. Important recommendations are available for alarm management; however, they are often violated in practice, especially in the alarm systems implemented through the distributed control system. An effective process alarm prioritization and management system is desired for a safe and effective operation of a process facility.In present work, authors address two main issues related to an alarm system – the reliability and the prioritization of the alarms. The main objective is to deal with the alarm-flooding problem in process facilities. A multi alert voting system based on sensor redundancy approach is proposed to improve the reliability. A quantitative risk-based alarm management approach is proposed to address the flooding issue. In the risk-based approach, an integrated model consisting of the probability (P), the impact (I) of the potential hazards, and the process safety time is proposed to prioritize these raised alarms.The proposed approach is further explained by a reactor system with pressure and temperature variable monitoring and controls, where the hazards associated with two alerts caused by over high pressure and over high temperature are analyzed and integrated with response time for alarms generation and prioritization.     

A design method of a plant alarm system for first alarm alternative signals using a modularized CE model

Management of a plant alarm system has been identified as one of the key safety issues because of disasters caused by alarm floods. When a chemical plant is at abnormal state, an alarm system must provide useful information to operators as the third layer of an independent protection layer (IPL). Therefore, a method of designing a plant alarm system is important for plant safety. Because the plant is maintained in the plant lifecycle, the alarm system for the plant should be properly managed through the plant lifecycle. To manage changes, the design rationales of the alarm system should be explained explicitly. This paper investigates a logical and systematic alarm system design method that explicitly explains the design rationales from know-why information for proper management of changes through the plant lifecycle. In the method, the module structure proposed by Hamaguchi et al. (2011) to assign a fault origin to be distinguished is extended. Using modules to investigate the sets of alarm sensors and the alarm limits setting for first alarm alternative signals to distinguish the fault origin, an alarm system design method is proposed. Also, the completeness of fault propagation for a branch of the cause–effect model as the plant model is explained. Using the modules and the set of fault origins to be distinguished by the alarm system, we try to explicitly explain the design rationales of the alarm system.     

Process safety data management program based on HAZOP analysis and its application to an ethylene oxide/ethylene glycol plant

HAZOP analysis is a process hazard analysis method that has been widely applied both within and outside the chemical processing industries. This paper presents a design method for a process safety data management program for petrochemical plants based on HAZOP analysis and demonstrates the steps of application involved in building a process safety data management system for an ethylene oxide/ethylene glycol production plant. Firstly, the production data files and relevant documents of the plants should be classified and stored in the program database as reference documents and treatment schemes for coping with abnormal situations should be collected and summarized as guidance documents. Secondly, the HAZOP analysis method is employed to identify all the dangerous deviations possibly existing in the production process of the ethylene oxide/ethylene glycol plant. Then, the relationships among the deviations, the reference documents and the guidance documents should be considered and evaluated. Finally, each dangerous deviation will be given a corresponding reference document and guidance document. The reference documents and guidance documents stored in the expert system can be utilized to help operators solve the corresponding technical problems and cope with abnormal situations. The process safety data management program will contribute to the identification, analysis and resolution of operation problems. When an abnormal situation occurs, according to the deviations exhibited in the system, the necessary reference documents and guidance documents will be quickly consulted by the operators, and an appropriate decision will be made to address the abnormal situation. Therefore, by using the process safety data management program, plant security and human safety in the petrochemical industries will be improved.     

基于风险的报警优先级量化设定方法研究

当前主流报警优先级设定方法操作性不佳,在进行装置报警系统优化时由于考虑维度少而无法较好优化报警系统优先级,针对该问题,建立了基于风险的报警优先级设定新方法。将标定的风险图法应用于报警优先级设定,假定某报警不存在,对出现危险情况的频率、后果严重度、可用时间、避免事故后果的可能性等进行标定,并对危险状况出现频率与可用时间进行矩阵分析,将结果运用于风险图中;针对某柴油加氢装置报警系统,应用该方法进行了报警优先级优化。结果表明:基于风险的报警优先级量化设定方法能够有效应用于优化装置报警优先级;经该方法优化的各级报警,数量分布更接近EEMUA的推荐值;对于“在所考虑的报警不存在时每年发生事故的次数”因素,研究给出3个不同的档次供企业选择,实践中,企业可结合自身可接受标准,作进一步完善。     

石油化工装置HAZOP分析技术概率定量化研究

分析化工装置定性风险识别技术--危险及可操作分析(HAZOP)技术定量改进的可行性,根据HAZOP分析专家意见,将HAZOP分析所得偏差进行定量化处理.采用层次分析法确定各专家影响权重,通过专家主观评判得到各原因下偏差发生的可能性,根据模糊数学方法将专家自然语言转换为模糊数,采用左右模糊排序法将区间[0,1]的模糊数转换为模糊失效概率值.实例验证表明,该方法能较好反映偏差实际发生概率,高效且便于计算机实现.     

Combining FAP,MAP and correlation analysis for multivariate alarm thresholds optimization in industrial process

In the real industrial process, alarm threshold optimization is an important part of alarm system rationalization. If the design of alarm threshold is unreasonable, it would result in nuisance alarms, among which the critical alarms are overwhelmed. In order to alleviate this phenomenon, we propose a method of multivariate alarm thresholds optimization to reduce the nuisance alarms. Firstly, causal relationship between process variables is constructed based on the time delay estimation method, thus we can determine the alarms propagation path and then select the optimized variables. Secondly, in order to guarantee both the process safety and correlation consistency, three factors - false alarm probability (FAP), missed alarm probability (MAP), and the correlation between the alarm information and process information – are combined to establish the objective function of the optimization process for the first time. Then, the optimal thresholds are obtained by the genetic algorithm. Finally, the validity and effectiveness of the developed method are illustrated by the Tennessee Eastman process.     

HAZOP分析方法在石油工业上游业务中的应用

基于国内石油工业上游业务风险分析和安全评价现状,针对油气勘探、油气田开发、油气集输和海洋石油各阶段工艺流程与作业环境特性,选择引导词、偏差进行安全评价,分析和探讨HAZOP分析方法在上游业务中应用的可行性和适用性。研究表明,对于油气田开发、油气集输阶段以及海上油气田生产方面,应用HAZOP分析,可从本质安全角度提出项目风险管理控制措施,提高装置安全性和可操作性,促进企业持续稳定发展。但对于油气勘探阶段,由于其风险呈层次型且评价方法依赖于数学建模和数值计算,不适宜采用HAZOP分析方法。     

Comprehensive alarm information processing technology with application in petrochemical plant

During the abnormal plant conditions, too much information is produced due to momentary plant excursions above alarm limits. This flood of information impedes correct interpretation and correction of plant conditions by the operator. Existing techniques for the design of alarm systems mostly have weak ability to handle complex hazard scenarios and increase the probability of larger safety issues. In this paper, a comprehensive alarm information processing (AIP) technology is introduced, called multi-round alarm management system (MRAMS), including several processing strategies: AIP based on single sensor, AIP based on sensor group, root cause diagnosis based on Bayesian network, sensor fault judgment method and false alarm inhibition method. In case studies, both simulation experiment and pilot application on a real petrochemical plant are presented. Results indicate the MRAMS is helpful in improving the accuracy of correctly diagnosing the root causes and hence avoiding false and redundant alarms. By adopting this new technology, the safe and reliable operation of the plant can be achieved, and the economic loss brought by improper alarms can be reduced.     

基于HAZOP分析的加氢装置工程设计方法

加氢装置属甲类火灾、爆炸危险生产装置。为了在设计阶段尽可能消除或控制潜在风险,本文总结了多套加氢装置HAZOP分析报告中的设备类别及其分析内容,提出了基于危险与可操作性(HAZOP)分析的加氢装置工程设计方法。在传统工程设计方法的基础上增加了参数敏感性工程设计方法,依据分析报告中的设计建议,利用ASPEN软件计算过程参数变化对目标参数的影响程度,确定参数稳定操作区域;建立了数据库管理界面实现了加氢装置工程安全设计经验知识的有序管理。应用基于HAZOP分析的加氢装置工程设计方法,有助于将安全隐患问题在设计阶段消除或加以控制,可为降低石化装置改造成本和提高装置的安全水平提供方法依据。     

在役柴油加氢装置HAZOP分析技术

柴油加氢装置属甲类火灾危险生产装置,为了保障其安全生产,实现事故早期预防,对其进行风险分析和安全评价势在必行.HAZOP分析方法是流程工业广泛使用的一种危险辨识和分析方法,具有较好的系统性和完备性.首先介绍了HAZOP分析方法的由来及应用情况,其次分析了在役装置HAZOP分析的难点,并提出了相应的建议,然后详述了在役装置HAZOP方法的分析流程.最后以中石油某石化公司在役柴油加氢装置为例进行了HAZOP分析,辨识出可能存在的安全隐患和潜在危险,对较高风险提出了必要的安全保护措施和合理的改进建议.结果表明,HAZOP分析是提高在役装置安全性的一种有效手段,其结果为装置安全管理提供了可靠的依据.     

HAZOP分析技术改进研究

通过HAZOP分析技术研究,提出针对性的3方面改进措施:开发HAZOP偏差专家库,并在开发的辅助分析软件中进行自动关联提示,弥补分析成员经验不足;基于专业化的计划安排与分工控制分析过程,提高分析工作效率;简化分析范围,并借助偏差库的帮助简化重复工作。对开展HAZOP分析的时间给出了具体建议。最后,以改进的技术方案为基础,针对某装置HAZOP分析过程为例,与改进前HAZOP分析过程进行了对比。     

HAZOP-FTA综合分析方法在煤化工装置中的应用

为提高煤化工生产工艺安全水平,降低事故发生的可能性和严重程度,有必要对其工艺过程中的危害因素进行全面系统的辨识分析。以某甲醇公司煤制甲醇气化装置为例,运用HAZOP方法准确识别工艺偏差危害因素,定性分析偏差产生的可能原因、后果及现有安全措施;在此基础上,运用FTA方法,获得顶上事件发生概率值和基本事件重要度结果,实现工艺设备设施危害因素的定性与定量分析,提出有针对性的建议安全措施。两种方法的综合应用,给予煤化工企业系统安全分析一种新的思路,使其得到更加科学准确的危险性分析结果,为企业开展危害因素的分级管理,有效预防和减少事故的发生提供了理论支撑。     

A novel knowledge database construction method for operation guidance expert system based on HAZOP analysis and accident analysis

An expert system for operation guidance will contribute to identifying the operatoration problems and indicating the resolutions thereof, because the information stored in the expert system can be utilized to resolve the corresponding technical problems. However, there are several problems that should be solved in the practical application of the expert system, such as lack of corresponding knowledge or resolutions utilized to cope with the problems, inapplicable resolutions, too many resolutions for the operators to choose from to obtain the best one in the first time, etc. Obtaining and storing as much as information in the database of the expert system are important issues in the construction process of the expert system. The accident analysis results contain a limited number of accident cases and the HAZOP analysis only refers to a single deviation analysis. This paper has presented a novel knowledge database construction method for an operation guidance expert system based on the HAZOP analysis and the accident analysis, which can be used to resolve the above problems. The HAZOP analysis results are combined with the accident analysis results and the combination information can be stored in the database of the expert system, and can be employed to forecast accidents or identify accident causes. The structures of the operation guidance table and the accident investigation table have been illustrated. The residuum hydrotreating process expert system is taken as an example to illustrate the knowledge database construction method. With the aid of this expert system, the operators will well understand the operations and adopt the best resolutions to deal with the abnormal situations. Also the operators can identify potential risks existing in the plant which will result in accidents according to the accident analysis results associated with the HAZOP analysis results.