炼油技术与工程 ›› 2021, Vol. 51 ›› Issue (9): 1-6.

• 综述 •    下一篇

中国石化炼油工艺平稳性管理体系研究与实践

李鹏1, 徐伟2, 王春利2, 李传坤2   

  1. 1.中国石油化工股份有限公司炼油事业部,北京市 100728;
    2.中国石油化工股份有限公司青岛安全工程研究院,山东省青岛市 266000
  • 收稿日期:2021-05-11 发布日期:2021-11-12
  • 作者简介:李鹏,正高级工程师,博士,1993年毕业于成都科学技术大学化学工程专业。联系电话:010-59969880,E-mail:lipeng@sinopec.com。

Research and practice of SINOPEC refining process stability management system

Li Peng1, Xu Wei2, Wang Chunli2, Li Chuankun2   

  1. 1. SINOPEC Petroleum Refining Department, Beijing 100728;
    2. SINOPEC Research Institute of Safety Engineering, Qingdao, Shandong 266000
  • Received:2021-05-11 Published:2021-11-12

PDF

摘要： 为落实中国石化以精细管理促发展、平稳安全保发展的策略,立足企业管理现状,融合国内外石化企业先进管理经验和运行模式,创新性地提出并建立了一套针对炼油企业的工艺平稳性管理体系,并研发了相关支撑技术和管控平台,将报警评估管理、控制回路性能评估与诊断、PID(比例积分微分)控制参数整定等底层控制技术有效整合,全面提升炼油企业的精细化管理水平和本质安全。某大型炼油企业的应用结果表明,12套装置的时平均报警数降至6次以内、有效自控率由75.72%提升至98%以上,效果良好。

关键词: 炼油, 工艺平稳性, 管理体系, 报警评估, 控制回路, 性能评估与诊断

Abstract: In order to implement SINOPEC’s strategy of promoting development with fine management and ensuring stable and safe development, based on the current situation of enterprise management, integrating the advanced management experience and operation mode of petrochemical enterprises at home and abroad, a set of process stability management system for refinery is proposed and established innovatively, and relevant supporting technologies and management and control platforms are developed, and the alarm evaluation management, control loop performance evaluation and diagnosis, PID (proportional integral differential) control parameter setting and other underlying control technologies are effectively integrated to comprehensively improve the refined management level and intrinsic safety of refineries. The application results of a large refinery show that the number of alarms per hour of 12 units is reduced to less than 6 times, and the effective automatic control rate is increased from 75.72% to more than 98%. The effect is good.    

Key words: refining, process stability, management system, alarm evaluation, control loop, performance evaluation and diagnosis