Journal of Petrochemical Universities

Journal of Petrochemical Universities ›› 2019, Vol. 32 ›› Issue (3): 20-27.DOI: 10.3969/j.issn.1006-396X.2019.03.004

Previous Articles     Next Articles

Simulation and Optimization in Shale Oil Condensation Recovery System

Yin Xiaohan1Cao Zubin1Cao Chuanyang2,Lü Na2   

  1. (1. College of Chemistry,Chemical Engineering and Environmental Engineering,Liaoning Shihua University,Fushun Liaoning 113001,China ;2. PetroChina Fushun Petrochemical Company No.2 Refinery,Fushun Liaoning 113004,China)
  • Received:2018-05-04 Revised:2018-08-09 Published:2019-06-06 Online:2019-06-18

油母页岩干馏油气冷凝回收工艺系统模拟与优化

尹晓含1曹祖宾1曹传洋2吕娜2   

  1. (1. 辽宁石油化工大学 化学化工与环境学部,辽宁 抚顺113001; 2. 中国石油 抚顺石化分公司石油二厂,辽宁 抚顺113004)
  • 通讯作者: 曹祖宾(1962⁃),男,博士,教授,从事非常规油气资源开发利用研究;E⁃mail:caozubin1962@163.com
  • 作者简介:尹晓含(1985-),女,硕士研究生,从事非常规油气资源开发利用研究;E-mail:670981471@qq.com
  • 基金资助:
    辽宁省教育厅项目(L2017LQN013)

Abstract: Through in⁃depth study on the condensing recovery process of shale oil,Aspen plus software was used to simulate the process and optimize the oil shale condensation recovery system.The results show that the yield of shale oil is 80.6% after the simulation of Aspen Plus software.Two schemes are used to optimize the condensation recovery system.In the first scheme,the absorption tower can be removed and the equipment cost can be saved without the need of the saturated gas as the heat carrier. By changing the position of the fan and comparing the oil yield under the full⁃negative pressure and the semi⁃negative pressure.In the second scheme, the yield of shale oil increases by 1% in the semi⁃negative pressure, and the yield of oil increases by nearly 3 million.

Key words: Shale oil, Aspen plus, Stimulation, Pressure

摘要: 通过对油母页岩干馏油气冷凝回收工艺的深入研究,并运用Aspen plus模拟软件对油页岩冷凝回收系统进行模拟与优化。结果表明,经过Aspen软件模拟,本工艺页岩油收率80.6%。采用两组方案优化,优化方案一,在不需要饱和瓦斯热载体的前提下,回收系统去掉吸收塔,节约设备费。优化方案二,通过改变风机位置,对比全负压和半负压状态下的油收率,半负压状态下页岩油收率增加1%,收益增加近300万元。

关键词: 页岩油, Aspen plus, 模拟, 压力

Cite this article

Yin Xiaohan,Cao Zubin,Cao Chuanyang,Lü Na. Simulation and Optimization in Shale Oil Condensation Recovery System[J]. Journal of Petrochemical Universities, 2019, 32(3): 20-27.

尹晓含,曹祖宾,曹传洋,吕娜. 油母页岩干馏油气冷凝回收工艺系统模拟与优化[J]. 石油化工高等学校学报, 2019, 32(3): 20-27.