An optimal flow rate allocation model of the oilfield treated oil pipeline network  

作　　者：Hai Li Tianyou Fan Kun Wang Xueyuan Long Yu He Meng Wang Wen Cheng Qian Huang Huirong Huang Weichao Yu 

机构地区：[1]PetroChina Southwest Oil&Gasfield Company,Chengdu 610056,China [2]China Petroleum Planning&Engineering Institute,Beijing 100083,China [3]School of Petroleum Engineering,Chongqing University of Science and Technology,Chongqing 401331,China [4]PipeChina Oil&Gas Control Center,Dongtucheng Road,Chaoyang District,Beijing 100028,China

出　　处：《Petroleum》2024年第1期93-100,共8页油气（英文）

基　　金：the Natural Science Foundation of Chongqing,China (No.cstc2021jcyj-msxmX0918);the Science and Technology Research Program of Chongqing Municipal Education Commission (No.KJQN202101545);the National Natural Science Foundation of China (52302402);the Research Foundation of Chongqing University of Science and Technology (ckrc2021003)for providing support for this work.

摘　　要：Oilfield treated oil pipeline network is the link connecting the upstream oilfields and the downstream refineries.Due to the differences in operating costs and transportation fee between different pipelines and the fluctuation in the demand and sales prices of the treated oil,there is an optimal flow allocation plan for the pipeline network to make the oilfield company obtain the highest social and economic benefit.In this study,a mixed integer nonlinear programming(MINLP)model is developed to determine the optimal flow rate allocation plan of the large-scale and complex treated oil pipeline network,and both the social and economic benefits are considered simultaneously.The optimization objective is the multi-objective which includes the largest user satisfaction and the highest economic benefit.The model constraints include the oilfield production capacity,refinery demand,pipeline transmission capacity,flow,pressure,and temperature of the node and station,and the pipeline hydraulic and thermal calculations.Python 3.7 is utilized for the programming of the off-line calculation procedure and the MINLP model,and GUROBI 9.0.2 is served as the MINLP solver.Moreover,the model is applied to a real treated oil pipeline network located in China,and three optimization scenarios are analyzed.For social benefit,the values of the user satisfaction of each refinery and the total network are 1 before and after optimization for scenarios 1,2,and 3.For economic benefit,the annual revenue can be increased by 0.227,0.293,and 0.548 billion yuan after the optimization in scenario 1,2,and 3,respectively.

关 键 词：Treated oil pipeline network Flow rate allocation OPTIMAL User satisfaction Economic benefit 

分 类 号：TE832[石油与天然气工程—油气储运工程]