Lithologic Reservoirs ›› 2017, Vol. 29 ›› Issue (6): 1-7.doi: 10.3969/j.issn.1673-8926.2017.06.001

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Prediction models of organic pores in shale with low to moderate maturity

GUO Qiulin1, WU Na1, REN Hongjia1, CHEN Ningsheng1, CHEN Zhuoheng2   

  1. 1. PetroChina Research Institution of Petroleum Exploration and Development, Beijing 100083, China;
    2. Natural Resources Canada, Geological Survey of Canada, Alberta, Canada, 3303
  • Received:2017-06-29 Revised:2017-08-17 Online:2017-11-21 Published:2017-11-21

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Abstract: Quantitative prediction of organic pores in shale with low to moderate maturity is significant for shale oil resources assessment. Theoretical models of the conversion rate and hydrocarbon generation rate were established to predict the organic porosity of shale quantitatively based on genetic mechanism of organic pores in shale. Both models can efficiently predict the upper limit for organic porosity of shale. Moreover,the statistic model for prediction of organic porosity of shale with low to moderate maturity was built with surface porosity observed through scanning electron microscope,which can be used to calculate the approximation of the organic porosity. The statistical analysis reveals findings in two aspects. Firstly,for the lacustrine shale in China,the surface porosity has an exponential relationship with Ro,and it increases slowly at the stages of low to moderate maturity. Secondly,for the marine shale in North America,the surface porosity has a logarithmic relationship with Ro,and it increases rapidly at the stages of low to moderate maturity. In addition,differences of organic pores between shale with low to moderate maturity and shale with high to over maturity were discussed. It is indicated that the lacustrine shale with low to moderate maturity in China contains less organic pores than the marine shale in North America,which provides references for study on organic pores in shale and assessment and exploration of shale oil resources.

Key words: low permeability reservoir, polymer/surfactant flooding, adsorption capacity, chromatographic fractionation effect, enhanced oil recovery

CLC Number: 

  • P631.4
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