大数据技术在催化裂化装置运行分析中的应用

发布时间：2018-06-18 05:02

本文选题：大数据 + 催化裂化　；参考：《化工进展》2016年03期

【摘要】：催化裂化装置是炼油厂生产汽柴油的核心生产装置,是炼厂效益的重要来源,但催化裂化装置的运行面临着结焦、催化剂跑损等影响长周期运行问题。因此本文介绍了在中国石油化工股份有限公司开发的炼油技术分析与远程诊断平台上,运用大数据数据处理技术和积累的海量的催化运行数据进行数据挖掘与分析,尝试对催化裂化装置报警、结焦等问题进行深入探索研究与分析,解决催化裂化装置报警问题、结焦问题和收率问题,从而进一步提升催化裂化装置运行水平。分析表明基于传递熵的根原因分析能够比较全面、准确地找出相关问题的影响因素,从而提高催化裂化装置平稳运行,而大数据技术一旦工业化应用取得成功,将取得良好的经济效益和社会效益,进而促进大数据技术在石化行业的推广应用。
[Abstract]:Catalytic cracking unit (FCCU) is the core unit to produce gasoline and diesel in refineries and an important source of refinery benefits. However, the operation of FCCU is faced with the problems of coking and catalyst running loss, which affect the long-period operation. Therefore, this paper introduces the application of big data processing technology and massive data of catalytic operation to data mining and analysis on the platform of oil refining technology analysis and remote diagnosis developed by China Petrochemical Co., Ltd. The problems of alarm and coking in FCC units are studied and analyzed in order to solve the problems of alarm, coking and yield of FCC units, so as to further improve the operation level of FCC units. The analysis shows that the root cause analysis based on the transfer entropy can find out the influencing factors of the related problems more comprehensively and accurately, thus improving the smooth operation of the FCC unit. However, once the big data technology has been successfully applied in industry, Good economic and social benefits will be obtained, and the application of big data technology in petrochemical industry will be promoted.
【作者单位】：中国石油化工股份有限公司炼油事业部;石化盈科信息技术有限责任公司;清华大学化工系;中国石油大学(北京)化学工程学院;
【分类号】：TE966

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