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作 者:刘建新 刁俊武 陶兴文 Liu Jianxin;Diao Junwu;Tao Xingwen(CNOOC Zhongjie Petrochemicals Co.,Ltd.,Cangzhou,Hebei 061108;CNOOC Information Technology Co.,Ltd.;SEPTEC Technologies Co.,Ltd.)
机构地区:[1]中海石油中捷石化有限公司,河北沧州061108 [2]中海油信息科技有限公司 [3]北京赛普泰克技术有限公司
出 处:《石油炼制与化工》2024年第5期141-147,共7页Petroleum Processing and Petrochemicals
基 金:中国海洋石油集团有限公司科研项目(CNOOC-KJ135KJXMNFXK2020-03)。
摘 要:针对原油种类变化导致常减压蒸馏装置操作负荷增大、产品质量波动加剧、装置能耗高等问题,基于工艺机理(包括分馏原理、物料平衡、能量平衡)和大数据开发了蒸馏塔在线工艺孪生模型与原油进料性质实时感知技术。该技术的特点是依据原油蒸馏塔的温度、压力、流量数据推算原料性质,无需安装原料实时分析仪,也无需原油数据库与储罐分析数据的输入。采用科学的验证方法与流程,利用常减压蒸馏装置的生产数据,验证了原料性质推算模型与孪生工艺模型的准确性,并开发了常压蒸馏塔智能优化控制系统。利用生产数据,验证了该系统的可靠性。通过系统优化减少原油切换对产品性质的影响,使常压蒸馏塔塔顶石脑油收率提高0.9%,常二线油收率提高0.8%,装置能耗降低1.43%。In response to the problems such as the increase of operating load,the aggravation of product quality fluctuations and high energy consumption caused by the variety of crude oil,based on the principle of distillation,material balance,energy balance and big data,the on-line twinning model of distillation columns and the real-time perception technology of crude oil feed property were developed.The characteristic of this technology was to calculate the properties of crude oil according to the data of temperature,pressure and flow of crude oil distillation column,without the need for the installation of the real-time raw material analysis,nor the input of crude oil database and tank analysis data.Using scientific verification methods and processes,the veracity of the raw material property prediction model and twin process model was verified by using the production data of atmospheric and vacuum distillation units.An intelligent optimization control system for atmospheric column was developed,and the reliability of the system was verified by production data.By optimizing the system,the impact of crude oil switching on product properties was reduced,the naphtha yield was increased by 0.9%at the top of the atmospheric column,the yield of crude oil was increased by 0.8%at the second line,and the energy consumption was reduced by 1.43%.
关 键 词:智能化感知 原油蒸馏 在线孪生模型 智能控制 能耗优化
分 类 号:TE96[石油与天然气工程—石油机械设备]
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