基于改进鲸鱼算法的转油站运行参数优化
Optimization of operation parameters for oil transfer station based on improved whale optimization algorithm
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- 引用格式:
-
周强,魏立新,李达,符进,王凯文,王澜.基于改进鲸鱼算法的转油站运行参数优化[J].天然气与石油,2023,41(6):14-20.doi:10.3969/j.issn.1006-5539.2023.06.003
ZHOU Qiang, WEI Lixin, LI Da, FU Jin, WANG Kaiwen, WANG Lan.Optimization of operation parameters for oil transfer station based on improved whale optimization algorithm[J].Natural Gas and Oil,2023,41(6):14-20.doi:10.3969/j.issn.1006-5539.2023.06.003
- DOI:
- 10.3969/j.issn.1006-5539.2023.06.003
- 作者:
- 周强1 魏立新1 李达2 符 进1 王凯文1 王澜1
ZHOU Qiang1, WEI Lixin1, LI Da2, FU Jin1, WANG Kaiwen1, WANG Lan1
- 作者单位:
- 1. 东北石油大学石油工程学院, 黑龙江 大庆 163318; 2. 海洋石油工程股份有限公司, 天津 300461
1. College of Petroleum Engineering, Northeastern Petroleum University, Daqing, Heilongjiang, 163318, China; 2. Offshore Oil Engineering Co., Ltd., Tianjin, 300461, China
- 关键词:
- 转油站;运行参数;鲸鱼算法;佳点集;非线性收敛因子
Oil transfer station; Operation parameters; Whale optimization algorithm; Good point set; Nonlinear convergence factor
- 摘要:
针对油井采出液含水率不断增加,转油站集输系统效率低、能耗高的问题,对转油站集输系统进行运行参数优化。以掺水温度和掺水量为决策变量,生产能耗费用最低为目标函数,建立转油站运行参数优化模型。采用人工设计与佳点集原理相结合的种群初始化策略和引入非线性收敛因子等机制对传统鲸鱼算法进行改进,以大庆PH2转油站为例,采用改进鲸鱼算法对运行参数进行优化,结果表明,改进后的鲸鱼算法综合性能明显提高,并且优化后转油站掺水温度降低9 ℃，掺水量减少450 m3/d,日均耗气量下降14.68%,日均耗电量降低34.1%,总体运行费用降低了21.5%,优化效果良好。研究成果可供类似工程参考。
In response to the continuous increase in water cut of produced fluids from oil wells and the low efficiency and high energy consumption of these systems, this study aims to optimize the production and operation parameters of the oil transfer station's gathering and transportation system. The decision variables are the injection water temperature and volume, with the objective to minimize the production energy consumption cost. A model for optimizing the operation parameters of the oil transfer station is established. To improve the traditional whale optimization algorithm, a population initialization strategy combining artificial design and good point set principles is adopted. Additionally, mechanisms such as the non-linear convergence factor are introduced. Taking PH2 oil transfer station in Daqing Oilfield as a case study, the improved whale optimization algorithm is applied to optimize the operation parameters. The results show significant improvements in the overall performance of the improved whale optimization algorithm. After optimization, the injection water temperature at the oil transfer station is lower by 9 ℃, and the daily injection water volume is reduced by 450 m3. The annual average daily natural gas consumption drops by 14.68%, while the average daily electricity consumption is reduced by 34.1%. Consequently, the overall operating costs decrease by 21.5%, indicating that a significant optimization effect has been achieved. The study results could be used as a reference for projects of a similar nature.
