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基于改进遗传算法的油田注水系统运行优化 被引量:4

Optimization of oil field injection system based on improved genetic algorithm
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摘要 以油田注水系统能耗最小为目标函数,以压力、流量的限制为约束条件,建立了注水系统运行优化模型,改进了遗传算法的算子,并结合模拟退火算法形成了改进遗传模拟退火算法,利用编制的软件对某油田注水系统运行方案优化计算,注水系统耗电量由5.52×105kW·h/d下降到5.11×105kW·h/d,取得较好的经济效益. A model of optimized running of oil field water injection system has been set up in this paper, with the minimum energy expenditure of the injection system as the objective function and with the restriction to the pressure flux as the restriction condition. The operator of genetic algorithm has been improved, and by combining with simulated anneal algorithm, an improved genetic simulated anneal algorithm is introduced. Preferable economical production is realized in practice with the use of the accorded software.
出处 《大庆石油学院学报》 CAS 北大核心 2004年第6期51-54,共4页 Journal of Daqing Petroleum Institute
基金 黑龙江省科学基金(E01-02) 石油科技中青年创新基金(2001CX-36)
关键词 遗传算法 优化 注水系统 模拟退火 genetic algorithm optimization water injection system simulated annealing
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参考文献1

  • 1Srinivas M, Patnaik L M. Adaptive Probabilities of Crossover and Mutation In Genetic Algorithms[J]. IEEE Trans, Syst Man and Cybernetics, 1994,24(4):656-667.

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