石油炼制与化工 ›› 2012, Vol. 43 ›› Issue (6): 88-92.

• 控制与优化 • 上一篇    下一篇

化学计量学技术在预测重质油催化裂化反应产物分布中的应用

赵毅,赵锁奇,史权,徐春明   

  1. 中国石油大学(北京)
  • 收稿日期:2011-10-21 修回日期:2011-12-01 出版日期:2012-06-12 发布日期:2012-05-31
  • 通讯作者: 徐春明 E-mail:xcm@cup.edu.cn

APPLICATION OF CHEMOMETRICS TECHNIQUE IN THE PREDICTION OF FCC PRODUCT DISTRIBUTIONS PROCESSING HEAVY OIL

  • Received:2011-10-21 Revised:2011-12-01 Online:2012-06-12 Published:2012-05-31

摘要: 通过收集整理重质油国家重点实验室积累的大量有价值的重质油评价数据,建立重质油数据库;将数据库中的重质油性质和催化裂化反应产物分布部分数据作为校正数据,结合化学计量学校正理论,建立重质油性质与重质油催化裂化反应产物分布的数学关联模型;并以数据库中的部分数据作为验证集对模型进行验证。结果表明:所建立的重质油性质与反应产物分布的数学关联模型能够达到快速、准确预测重质油催化裂化反应产物分布的目的。

关键词: 重质油, 化学计量学, 校正理论, 催化裂化 , 模型

Abstract: The building of a heavy oil database, which containing massive evaluation data of heavy oil catalytic cracking obtained from the State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), is introduced. On this basis, by using part of the data of heavy oil properties and product distributions as training data and adopting chemometrics correction theory, mathematical correlation models of heavy oil physicochemical properties and product distributions in catalytic cracking process are set up. Validation of the models is carried out using another part of the data from the database. Results show that the product distributions of heavy oil catalytic cracking can be predicted with mathematical correlation models built by correction theory fast and accurately.

Key words: heavy oil, chemometrics, correction theory, catalytic cracking, model

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