Lithologic Reservoirs ›› 2018, Vol. 30 ›› Issue (4): 105-112.doi: 10.12108/yxyqc.20180412

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Multi-level fuzzy identification method for interwell thief zone

HUANG Bin1, XU Rui1, FU Cheng1,2, ZHANG Wei1, SHI Zhenzhong1   

  1. 1. College of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, Heilongjiang, China;
    2. Post-Doctoral Scientific Research Station, PetroChina Daqing Oilfield Company, Daqing 163458, Heilongjiang, China
  • Received:2018-02-10 Revised:2018-04-03 Online:2018-07-21 Published:2018-07-21

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Abstract: In order to correctly identify and evaluate the development of the thief zone, and take appropriate blocking measures, considering the complexity and fuzziness of the identification process of the thief zone, a multi-level fuzzy comprehensive evaluation index system(AHP-FCE)based on AHP and fuzzy comprehensive evaluation method was proposed. The evaluation index system consists of three evaluation object subsystems and 25 evaluation indicators, and the interwell connectivity is represented by grey relational degree. The model was applied to the identification of the thief zone in the S14 layer of N oilfield, and three evaluation levels of primary thief zone, secondary thief zone and normal pore channel were established. The weight of each factor was determined by entropy weight method, and the membership degree matrix was calculated by choosing semi trapezoid membership function. According to the principle of maximum membership degree, the thief zone of each interwell was evaluated. The results show that there are 16 primary thief zone and 10 secondary thief zone, and the development of the thief zone is more obvious between the interwells with high permeability and imperfect well pattern relations. The identification results were verified by the well tracer method, and the accuracy rate was 87.5%. The results show that this method is reasonable and accurate, and can provide a clear guidance for profile control or water shut off in the later stage of oilfield.

Key words: Jurassic, low frequency vibroseis, high density, wide azimuth, broadband inversion, Qaidam Basin

CLC Number: 

  • TE122
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