炼油技术与工程 ›› 2023, Vol. 53 ›› Issue (1): 22-.

• 加工工艺 • 上一篇    下一篇

浆态床渣油加氢机理与全局资源优化耦合模型研究与应用

关立涛1, 陈博2   

  1. 1.中国石油化工股份有限公司茂名分公司; 2.中石化(大连)石油化工研究院有限公司
  • 收稿日期:2022-08-02 出版日期:2023-01-15 发布日期:2023-01-31
  • 作者简介:关立涛，本科，研究方向为石油炼制工程与工艺。E-mail:guanlt.mmsh@sinopec.com。;

Study and application of coupling model between slurry bed residue hydrogenation mechanism and global resource optimization

Guan Litao1, Chen Bo2   

  1. 1.SINOPEC Maoming Petrochemical Company; 2.SINOPEC Dalian Research Institute of Petroleum and Petrochemicals
  • Received:2022-08-02 Online:2023-01-15 Published:2023-01-31

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摘要：

炼油厂全流程设计过程中，如何通过机理模型获得准确的工艺装置操作预测值，并将其有效地整合至全流程优化模型中，是算法耦合与计算的难点。浆态床加氢裂化工艺是一种典型的复杂重油加工处理方法，但在炼油厂设计与规划过程中，如何高效地实现浆态床产品分布的准确预测和全流程优化是现有优化软件及算法的难题。本研究建立了浆态床渣油加氢机理模型，并将其与非线性混合整数规划的全局资源优化算法及软件集成，实现了机理模型与运筹规划算法的耦合，为炼油厂设计与规划提供了更高效的设计工具。利用所提出的模型与算法实现了炼油厂全流程的优化，综合商品率提升2.44百分点。

关键词: 浆态床, 渣油加氢, 全局资源优化, 耦合模型, 加氢机理, 反应动力学参数

Abstract:

During the whole process design of oil refining, how to obtain accurate operation prediction values of process units through mechanism model and integrate them into the whole process optimization model effectively is the difficulty of algorithm coupling and calculation.Slurry bed hydrocracking process is a typical complex heavy oil processing method. However, in the process of refinery design and planning, how to efficiently realize accurate prediction of slurry bed product distribution and optimization of the whole process is a difficult problem for existing optimization software and algorithms.By establishing a slurry bed residue hydrogenation mechanism model and integrating it with the global resource optimization algorithm and software of nonlinear mixed integer programming, this study realized the coupling of the mechanism model and the operation planning algorithm, providing a more efficient design tool for refinery design and planning.The proposed model and algorithm were used to optimize the whole process of the refinery, and the comprehensive commodity rate increased by 2.44 percentage points.

Key words: slurry bed, residual oil hydrogenation, global resource optimization, coupling model, hydrogenation mechanism, reaction kinetics parameters