西南石油大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (4): 166-169.DOI: 10.3863/j.issn.1000-

• 石油机械工程及其它 • Previous Articles     Next Articles

HYBRID GENETIC ALGORITHM FOR TOPOLOGY OPTIMIZATION OF STELLATED OIL GATHERING AND TRANSPORTATION PIPELINE NETWORK

YANG Jian-jun1 ZHAN Hong1 LIU Yang2 ZENG Wen3   

  1. 1.College of Mechanical Engineering,Qingdao Technological University,Qingdao Shandong 266033,China;2.Key Laboratory of Enhanced Oil Recovery in Ministry of Education,Daqing Petroleum Institute,Daqing Heilongjiang 163318,China;3.China Petroleum Engineering Ltd. Co.,Southwest Company,Chengdu Sichuan 610017,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-08-20 Published:2008-08-20

Abstract: An optimized mathematical model of topology optimization for stellated oil gathering and transportation pipeline network is established,in which the minimum investment is taken as objective function.According to the model characteristics,the subjection relations of wells and stations are optimized with improved integercoded genetic algorithm,optimal location of metering station is optimized by nonlinear method.Aiming at the limitation of genetic algorithm,the operational process is improved,simulated annealing algorithm is combined with,fitness function is adjusted,the method of determining initial temperature is given,selecting operation is improved,then the hybrid genetic algorithm formed,random parentnumber fitnessweighted cross and multiple mutation methods are adopted.Processing methods of constraint conditions are proposed,so the number of infeasible solutions is reduced,and the computational efficiency is improved.Case study shows that the algorithm is efficient.

Key words: oil gathering and transportation, stellated pipeline network, topology optimization, hybrid genetic algorithm, simulated annealing algorithm

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