西南石油大学学报(自然科学版) ›› 2009, Vol. 31 ›› Issue (2): 64-66.DOI: 10.3863/j.issn.1674-5086.2009.02.016

• 石油与天然气工程 • Previous Articles     Next Articles

IMPROVED NON-DOMINATED GENETIC ALGORITHM FOR SOLVING GAS LIFTING ALLOCATION OPTIMIZATION PROBLEM

LUO Yin-fu1，2 HUANG Bing-guang3 WANG Nu-tao3 XIE Jian-fei4 YI Ga1   

  1. 1.China Offshore Oil Research Center，Beijing 100027，China；2.MOE Key Laboratory of Petroleum Engineering，China University of Petroleum， Changping Beijing 102249，China；3.School of Petroleum Engineering，Southwest Petroleum University，Chengdu Sichuan 610500， China；4.Tarim Oilfield Company，CNPC，Korla Xinjiang 841000，China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-20 Published:2009-04-20

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Abstract: Authors of this paper clarify the developing situation of gas lifting allocation optimization.A new gas lifting allocation technology of single and multi-objective optimization are developed by using piece-wise linear function.The single objective model takes maximun deliverability as objective function and multiple objective function takes maximun oil deliverability and minimun gas deliverability as objective function.Taking gas lifting oil wells of block four in Zhongyuan Oilfield as an example，the gas lifting allocation optimization is verified with the optimal solution of single objective model and non-dominated solution sets of multi-objective model.Results show that the proposed method is effective for gas lifting allocation optimization.The oil deliverability and gas injection amount are acqured under the condition of optimal gas lifting allocation.

Key words: gas lifting allocation optimization, piece-wise linear function, genetic algorithm, multi-objective optimization

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