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作 者:刘娟波 杨利军 秦超[1,2] 韩志远 宋利滨 Liu Juanbo;Yang Lijun;Qin Chao;Han Zhiyuan;Song Libin(Technology Innovation Center of Risk Prevention and Control of Refining and Chemical Equipment,State Administration for Market Regulation,Beijing 100029;China Special Equipment Inspection&Research Institute,Beijing 100029)
机构地区:[1]国家市场监督管理总局技术创新中心(炼油与化工装备风险防控),北京100029 [2]中国特种设备检测研究院,北京100029
出 处:《中国特种设备安全》2024年第9期37-42,48,共7页China Special Equipment Safety
基 金:“十四五”国家重点研发计划项目“典型材料长期服役复合损伤演化规律及表征预测技术”(2021YFC3001801);国家市场监督管理总局科技计划项目“长期服役加氢反应器材质劣化评估关键参数预测研究”(2021MK175)。
摘 要:国内当前有大量的加氢反应器处于长期服役状态,准确设定最低升压温度(MPT)和统计分析定期检验数据的规律,是保障加氢反应器长期服役过程安全的有效手段之一。本文基于当前经典MPT预测方法,通过量纲分析获得无量纲量并建立MPT相关的数据集,非线性拟合获得MPT的解析预测公式。结果表明解析预测公式与文献数据的误差在5℃左右,可以满足工程应用的精度,从而实现MPT的快速准确计算。同时,本文统计分析了国内部分石化企业定期检验报告中服役时间、安全状况等级、各类缺陷等的分布规律,可为加氢反应器后续的定期检验和安全评估提供参考。A large number of hydrogenation reactors in China are currently in long-term service.Accurately setting the minimum pressurizing temperature(MPT)and analyzing the distribution law of regular inspection data are effective way to ensure the safety during long-term service.Based on current classical method and dimensional analysis,this article proposes an analytical prediction formula for MPT by nonlinear fitting the dataset of MPT and related dimensionless variables.The results indicate that the absolute error of MPT between the literature and this study is approximately 5℃,which meets the accuracy of engineering applications and thus promotes the fast and accurate prediction of MPT.Meanwhile,by analyzing the regular inspection data in several petrochemical companies,this article obtains the distribution law of service time,safety condition level,and various defects,which are beneficial to subsequent inspection and safety condition estimation.
关 键 词:加氢反应器 最低升压温度(MPT) 解析预测 定期检验数据分析
分 类 号:X933.4[环境科学与工程—安全科学]
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