大数据技术在催化裂化装置运行分析中的应用

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。

Application of big data technology in operation analysis of catalytic cracking

FCC as the core equipment for gasoline and diesel oil production,is an important source of refinery economic efficiency,but long period operation of catalytic cracking unit is constrained by coking and loss of catalyst. In order to further enhance operating level of catalytic cracking unit and try to use big data processing technology,China's petrochemical refining technology analysis and remote fault diagnosis platform was developed and data mining and analysis of accumulated massive data of catalytic cracking was conducted to make exploratory research and analysis of operational problems of coking,alarming,etc. A more comprehensive analysis can accurately identify the factors related to the problems,thereby securing smooth running of catalytic cracking unit. Once industrial applications of big data technology make good economic and social benefits based on the root cause transfer entropy,further application of big data technology in the petrochemical industry is expected.