Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (3): 899-906.doi: 10.13278/j.cnki.jjuese.201703303

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A New Method for Predicting Permeability Based on Modified Kozeny-Carmen Equation

Zhang Hengrong, He Shenglin, Wu Jinbo, Wu Yixiong, Liang Yunan   

  1. Zhanjiang Branch of CNOOC Ltd.,Zhanjiang 524057,Guangdong,China
  • Received:2016-09-07 Online:2017-05-26 Published:2017-05-26
  • Supported by:
    Supported by National Science and Technology Major Project (2016ZX05024-006)

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Abstract: In the calculation of reservoir permeability of complex pore structure, it is very difficult to accurately evaluate the permeability. To solve this problem, this paper presents a new method to improve the calculation of permeability based on the Kozeny-Carmen equation by introducing the modified tortuosity factor. Firstly, the Kozeny-Carmen equation is modified by adding the tortuosity factor, which can be expressed as a function of porosity and electrical parameters; then the modified Kozeny-Carmen equation is deduced and transformed to get the new flow unit index for better reservoir classification; finally, a model of core premeability and log curve of coring and logging section using adaptive neural fuzzy inference system, and this model is applied to the non-coring section in permeability evaluation. The correctness and effectiveness of the method is verified by comparing the permeability of the core and the predicted permeability, and the accuracy of the permeability calculation is much higher than both that of the conventional porosity exponential method and the flow unit classification method. This method has good effects in the gas reservoir evaluation of Yinggehai basin east in western South China Sea.

Key words: permeability, Kozeny-Carmen equation, flow zone index (FZI), adaptive neural fuzzy inference system(ANFIS)

CLC Number: 

  • P631.8
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