天然气与石油2023，Vol.41Issue(6)：14-20,37,8.DOI:10.3969/j.issn.1006-5539.2023.06.003
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
摘要
Abstract
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.关键词
转油站/运行参数/鲸鱼算法/佳点集/非线性收敛因子Key words
Oil transfer station/Operation parameters/Whale optimization algorithm/Good point set/Nonlinear convergence factor引用本文复制引用
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):14-20,37,8.基金项目
黑龙江省自然科学基金项目"基于油泥微元孔道界面浸润翻转行为的清洗剂合成及应用研究"(LH2022E025) （LH2022E025）
