Modeling basic fraction data of petroleum distillation

MEI Hua; HUANG Biao; QIAN Feng

doi:10.11949/j.issn.0438-1157.20171453

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Modeling basic fraction data of petroleum distillation

更新时间：2025-12-10

- Modeling basic fraction data of petroleum distillation
- CIESC Journal Issue 3, Pages: 931-935(2018)
- 作者机构：
  
  1. 华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海,200237
  2. Department of Chemical & Materials Engineering, University of Alberta,, Alberta,Edmonton,Canada,T6G 1R1
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20171453
  CLC： E622
- Online First：05 March 2018，
  
  Published：05 March 2018
- 稿件说明：
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MEI Hua, HUANG Biao, QIAN Feng. Modeling basic fraction data of petroleum distillation[J]. CIESC Journal, 2018, (3): 931-935.
DOI：

MEI Hua, HUANG Biao, QIAN Feng. Modeling basic fraction data of petroleum distillation[J]. CIESC Journal, 2018, (3): 931-935. DOI： 10.11949/j.issn.0438-1157.20171453.

摘要

石油馏分属性数据是石油化工生产过程中的重要基础数据，但是海量的现场数据包含了大量的冗余信息和测量误差，给化工过程实际生产带来很大的困扰。基于石油馏分状态空间表征法提出一种石油馏分基础数据模型建模方法。该方法通过非负矩阵分解算法得到一组初始基础馏分数据模型并在此基础上采用迭代更新策略，在保证模型预测精度的前提下尽可能地减少模型库的规模。仿真结果验证了本方法的有效性和实用性，在石油化工生产过程中具有广阔的应用前景。

Abstract

Properties of petroleum fractions are important data of petrochemical processes. However

tremendous on-site data containing redundant information and measurement errors pose a great challenge to routine operation of chemical processes. A basic fraction data modelling method was proposed from characterization techniques of state space of petroleum fractions

in which an initial basic fraction data model was obtained via non-negative matrix factorization and updated by an iterative strategy so that the scale of the model base set was minimized as much as possible under circumstance of assured modelling accuracy. The results of simulation study verify that the proposed method is effective and suitable for a wide application to petrochemical processes.

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