摘要
采用Aspen Plus流程模拟软件,选择BK10热力学模型,模拟某炼化企业原油常压蒸馏系统,预测常压塔顶及冷凝冷却系统的露点,为抑制常压塔顶露点腐蚀提供参考。结合实际操作工况,考察了原油进料量及汽提水蒸气用量对常压塔顶油气水露点的影响。结果表明,常压塔原油加工量由1.25×10^(4) t/d升至1.40×10^(4) t/d时,塔顶油气水露点升高1.4℃;汽提水蒸气用量由1.2%升至1.8%时,塔顶油气水露点增加3.8℃。为此,可在挥发线上增加2~3个备用注入点,根据操作工况变化情况,调整挥发线注水位置,确保在塔顶油气挥发线注水前水蒸气不冷凝,以减轻常压塔顶露点腐蚀。
Using Aspen Plus process simulation software and BK10 thermodynamic model,the atmospheric distillation system of crude oil in a refinery was simulated,and the dew point of the top and condensation cooling system of atmospheric tower was predicted in order to provide a basis for controlling the dew point corrosion at the top of atmospheric tower.The influences of the feed rate of crude oil and the usage of steam used for stripping on the water dew point of oil and gas at the top of atmospheric tower were investigated according to the actual operating conditions.The results show that the water dew point could increase by 1.4℃when the feed rate of crude oil increased from 1.25×10^(4) t/d to 1.40×10^(4) t/d,further more it could increase by 3.8℃when the usage of stripping stream increased from 1.2%to 1.8%.Therefore,2 or 3 standby injection ports of stream could be added to evaporation pipeline to adjust water injection position of the evaporation line according to the change of operating conditions,to ensure that water vapor could not condense before water being injected into the oil and gas evaporation pipeline,and to reduce the dew point corrosion at the top of the atmospheric tower.
作者
刘菊荣
赵儒盼
宋绍富
LIU Jurong;ZHAO Rupan;SONG Shaofu(Shaanxi Green Low-carbon Energy Materials and Process Engineering Technology Research Center,Xi’an,Shaanxi 710065,China;College of Chemistry and Chemical Engineering,Xi’an Shiyou University,Xi’an,Shaanxi 710065,China;Changqing Petrochemical Corporation,CNPC,Xianyang,Shaanxi 712000,China)
出处
《西安石油大学学报(自然科学版)》
北大核心
2025年第1期115-120,共6页
Journal of Xi’an Shiyou University(Natural Science Edition)
基金
国家自然科学基金(21908177)。
关键词
原油蒸馏
塔顶腐蚀
流程模拟
露点预测
crude oil distillation
corrosion of tower top
process simulation
dew point prediction
