Joint analysis method for process deviation of HAZOP in chemical operation units

doi:10.16265/j.cnki.issn1003-3033.2022.03.013

Abstract

Abstract:

In order to improve application effect of HAZOP in chemical operation units, based on the practical experience of its application in modern large chemical plants over the past 10 years, a joint analysis method was proposed. Firstly, behavioral factors of HAZOP participants were studied and process risk attention model was established. Then, its deviation funnel was put forward, possible deviation trends and risk factors of the whole system were identified by using mathematical model before they were manually confirmed and listed into key points of HAZOP. Finally, a HAZOP report was generated by synthesizing various professional resources, and then a method set featuring man-machine complementarity and layer by layer screening was formed. The results show that the joint analysis method can improve HAZOP sustainability as well as risk identification accuracy of chemical operation units, therefore upgrading safety performance of enterprises.

Key words: hazard and operability analysis (HAZOP), chemical running unit, process deviation, attention model, deviation funnel

GAO Ming. Joint analysis method for process deviation of HAZOP in chemical operation units[J]. China Safety Science Journal, 2022, 32(3): 98-102.

Figures/Tables 6

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References 14

[1]	WANG Feng, GAO Jinji, WANG Huaqing. A new intelligent assistant system for HAZOP analysis of complex process plant[J]. Journal of Loss Prevention in the Process Industries, 2012, 25(3):636-642. doi: 10.1016/j.jlp.2012.02.001
[2]	MENG Yifei, SONG Xiaomiao, ZHAO Dongfeng, et al. Alarm management optimization in chemical installations based on adapted HAZOP reports[J]. Journal of Loss Prevention in the Process Industries, 2021, 72(12): DOI: 10.1016/j.jlp.2021.104578. doi: 10.1016/j.jlp.
[3]	MARHAVILAS P K, FILIPPIDIS M, KOULINAS G K, et al. A HAZOP with MCDM based risk-assessment approach: focusing on the deviations with economic/health/environmental impacts in a process industry[J]. Sustainability, 2020, 12(3):1-29. doi: 10.3390/su12010001
[4]	程希安, 张琪, 廖思超, 等. 基于过程模拟的HAZOP偏差量化研究与应用[J]. 现代化工, 2017, 37(7):187-191.
	CHENG Xi'an, ZHANG Qi, LIAO Sichao, et al. Research and application of HAZOP deviation quantification based on process simulation[J]. Modern Chemical Industry, 2017, 37 (7): 187-191.
[5]	廖思超, 杨霞, 周广文, 等. 基于过程模拟的HAZOP量化分析[J]. 计算机与应用化学, 2016, 33(6):670-674.
	LIAO Sichao, YANG Xia, ZHOU Guangwen, et al. A new quantitative analysis method of HAZOP based on process simulation[J]. Computer and Applied Chemistry, 2016, 33 (6): 670-674.
[6]	于靓, 杨明磊, 钱锋, 等. 基于化工流程动态模拟的HAZOP分析方法[J]. 华东理工大学学报:自然科学版, 2018, 44(1):28-32,109.
	YU Liang, YANG Minglei, QIAN Feng, et al. HAZOP methodology based on chemical process dynamic simulation[J]. Journal of East China University of Science and Technology: Natural Science Edition, 2018, 44 (1): 28-32,109.
[7]	邱泽阳, 梁伟, 王雪, 等. 油气输送动设备实时定量风险评估模型[J]. 中国安全科学学报, 2020, 30(2):106-112. doi: 10.16265/j.cnki.issn1003-3033.2020.02.017
	QIU Zeyang, LIANG Wei, WANG Xue, et al. Real-time quantitative risk assessment model of oil and gas transmission equipment[J]. China Safety Science Journal, 2020, 30 (2): 106-112. doi: 10.16265/j.cnki.issn1003-3033.2020.02.017
[8]	张斌, 赵东风, 周乐平, 等. HAZOP分析技术改进研究[J]. 中国安全科学学报, 2007, 17(10):160-164.
	ZHANG Bin, ZHAO Dongfeng, ZHOU Leping, et al. Research on improvement of HAZOP analysis[J]. China Safety Science Journal, 2007, 17 (10): 160-164.
[9]	付建民, 赵东风, 陈国明, 等. 石油化工装置HAZOP分析技术概率定量化研究[J]. 安全与环境学报, 2008, 8(6):130-134.
	FU Jianmin, ZHAO Dongfeng, CHEN Guoming, et al. Quantitative study over the probability of HAZOP analysing technique in petro-chemical plants[J]. Journal of Safety and Environment, 2008, 8 (6): 130-134.
[10]	周广文, 杨霞, 郑世清. 智能化风险及可操作性(HAZOP)分析系统研究进展[J]. 化工进展, 2018, 37(3):815-821.
	ZHOU Guangwen, YANG Xia, ZHENG Shiqing. Research progress of intelligent HAZOP analysis system[J]. Chemical Industry and Engineering Progress, 2018, 37 (3): 815-821.
[11]	刘辉, 张智超. 定量改进HAZOP法在瓦斯隧道施工通风安全中的应用[J]. 中国安全科学学报, 2017, 27(4):92-97. doi: 10.16265/j.cnki.issn1003-3033.2017.04.017
	LIU Hui, ZHANG Zhichao.Application of quantitative improved HAZOP method in ventilation safety during gas tunnel construction[J]. China Safety Science Journal, 2017, 27 (4):92-97. doi: 10.16265/j.cnki.issn1003-3033.2017.04.017
[12]	王厚尚, 赵东风, 刘义. 基于实时数据库技术的HAZOP专家系统框架设计[J]. 中国安全生产科学技术, 2013, 9(4):82-86.
	WANG Houshang, ZHAO Dongfeng, LIU Yi. The design of HAZOP expert system framework based on the real-time database[J]. Journal of Safety Science and Technology, 2013, 9 (4): 82-86.
[13]	赵劲松, 赵利华, 崔林, 等. 基于案例推理的HAZOP分析自动化框架[J]. 化工学报, 2008, 59(1):111-117.
	ZHAO Jinsong, ZHAO Lihua, CUI Lin, et al. Case based reasoning framework for automating HAZOP analysis[J]. Journal of Chemical Industry and Engineering(China), 2008, 59 (1): 111-117.
[14]	郑世清, 周广文, 杨霞. 基于动态偏差的智能化HAZOP量化分析[J]. 高校化学工程学报, 2017, 31(1):179-185.
	ZHENG Shiqing, ZHOU Guangwen, YANG Xia. Quantitative analysis of intelligent HAZOP based on dynamic deviation[J]. Journal of Chemical Engineering of Chinese Universities, 2017, 31 (1): 179-185.

要素	分析基础	分析对象	判断依据	组织形式	分析方法	适用阶段	可验证性
传统HAZOP	假设	绝对值	设计指标	会议	头脑风暴	工程设计阶段	不确定
新定义HAZOP	数据挖掘基础上的偏差(事实)	相对值及趋势	设计指标和优化区间	基于大数据和专业调查的分析会议	包括但不限于线性回归等	生产运行阶段	可验证