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油田星形注水网络布局优化研究 被引量:1

Layout Optimization of the Star Oilfield Water Injection Network
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摘要 油田注水网络系统在油田的正常开发生产运行中起着重要作用,且投资费用巨大,油田注水网络的规划设计方案直接影响着油田注水网络建设的投资。为寻求有效的油田注水网络优化设计方法,以油田星状注水网络系统为研究对象,以管线总长度最短为优化目标,以井站间隶属关系的惟一性、连接注水井数量等限制为约束条件,建立了油田注水网络布局优化的数学模型,设计了基于类电磁机制算法的模型求解思路,并进行了算例分析。研究结果证明了利用类电磁机制算法进行油田星状注水网络布局优化的可行性。 Oilfield water injection network system plays an important role in the normal development and production of the oil. Massive investment, planning and design of water injection network oil directly af- fects the investment of water injection network oil construction. In order to seek the optimal design meth- od for oilfield water injection network effectively, with oil satellite water network system as the research object, the shortest total length of the pipeline as optimization objective, the uniqueness of the relation- ship between the wells and stations, the numbers of injection wells connecting to station and other restric- tions as constraint conditions, we establish the mathematical model of oilfield injection network layout opti- mization based on electromagnetism - like mechanism algorithm, and numerical example is also given. The results show that it is feasible for the oilfield star injection network layout optimization using electro- magnetism- like mechanism algorithm.
出处 《节能技术》 CAS 2013年第4期356-358,共3页 Energy Conservation Technology
关键词 星形注水网络 布局优化 类电磁机制算法 可行性 star water injection network layout optimization electromagnetism - like mechanism algo-rithm feasibility
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  • 1刘扬,关晓晶.环形集输管网拓扑优化设计[J].天然气工业,1993,13(2):71-74. 被引量:15
  • 2杨建军,刘扬,战红,黄吉全.基于混合遗传算法的注水管径优化设计[J].石油工程建设,2005,31(2):15-18. 被引量:3
  • 3常玉连,邢宝海,任永良,王妍.油田注水管网拓扑结构自动设计方法研究[J].石油工程建设,2005,31(4):5-9. 被引量:8
  • 4刘扬.石油工程优化设计理论及方法[M].北京:石油工业出版社,1994.114-138.
  • 5严煦世 赵洪宾.给水管网理论与计算[M].北京:中国建筑工业出版社,1986..
  • 6于达.原油集输系统地面设施布局的优化[J].抚顺石油学院学报,1997,17(2):44-46. 被引量:18
  • 7[10]Srinivas M,Patnaik L M.Adaptive probabilities of crossover and mutation in genetic algorithms[J].IEEE Transactions on Systems,Man and Cybernetics,1994,24 (4):656-667.
  • 8[11]Ponnambalam S G,Jawahar N,Aravindan P.A simulated annealing algorithm for job shop scheduling[J].Production Planning and Control,1999,10(8):767 -777.
  • 9Eberhart R C,Kennedy J. A new optimizer using particle swarm theory[G]. Proc of the 6th Int'l Syurp on Micro Machine and Human Science. Nagoya Japan: S NJ,1995:39-43.
  • 10单长祥.中转站系统优化布局方法的初探[J].油田地面工程,1986,(5):22-25.

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