›› 2013, Vol. 34 ›› Issue (2): 1-1.

   

MultiObjective Optimization of FiveSpot Well Spacing Density by Early Polymer Flooding Process

LIAN Liming1a,1b, QIN Jishun1a,1b, WANG Qiang1a,1b, LI Junjian1c,2, LI Jinyi3   

  1. (1. PetroChina Research Institute of Petroleum Exploration and Development, a.State Key Laboratory of Enhanced Oil Recovery, b.National Energy (Experiment) Research Center of CCUS, c.Institute of Oil Recovery Engineering, Beijing 100083, China; 2.School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China; 3.Tianjin Branch, CNOOC, Tianjin, 300452, China)
  • Online:2019-01-01 Published:1905-07-10

Abstract: Early polymer flooding plays a significant role in the exploration and development of domestic offshore oilfields and the blocks abroad. The former optimization methods with single factor are not available in view of complexity of the current oilfield geologic status. This paper establishes the multi?objective optimization model for study of cumulative production and net present value (NPV) rate by early polymer flooding process, through theoretic methods and empirical regression analysis, in which five?spot well pattern is taken as studied object, comprehensively considering reservoir and economy dual objectives, with limitations of polymer solution concentration, injection capacity, productivity and production life, etc. The rational well spacing density is optimized by fitness function method and applied to the oilfield blocks. The results from comparison with the single objective optimization show that the multi?objective optimization method is better in adaptability and more suitable for five?spot well pattern study by early polymer flooding process

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