Lithologic Reservoirs ›› 2020, Vol. 32 ›› Issue (5): 113-121.doi: 10.12108/yxyqc.20200512

• PETROLEUM GEOLOGY • Previous Articles     Next Articles

Quantitative characterization of shale nanopore structure: a case study of Wufeng Formation in southeastern Sichuan

GUO Juan1, ZHAO Difei1,2, LIANG Xiaobo1, YANG Kun1, LI Haoxuan1, LONG Daixi1   

  1. 1. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China;
    2. Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China
  • Received:2019-11-12 Revised:2020-01-23 Online:2020-10-01 Published:2020-08-08

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Abstract: In order to explore a new method of shale nanopore structure quantification,taking shale reservoir samples of Wufeng Formation in southeastern Sichuan area as an example,high-resolution nanopore images were obtained by argon ion polishing(AIP)and field emission scanning electron microscopy(FE-SEM). The nanoscale pore images were numerically processed by Adobe Photoshop, Adobe Illustrator,Image J,and the development characteristics and structural parameters of nanopores were quantitatively extracted. The results show that four major types of nanopores are developed in shale reservoirs of Wufeng Formation, including organic pores, mineral intragranular structural pores,mineral intragranular dissolved pores and micro fractures,among which organic pores are the predominant pores. Through image information extraction,the quantitative parameters such as shape factor,roundness,elongation,eccentricity and entropy value for each pore were obtained,and a quantitative characterization method for different types of pores in shale was proposed based on the intersection of different parameters of pores. The study of quantification of nanopores is helpful to provide new approaches for the study on pore structure characterization and formation mechanism of high-quality shale reservoirs.

Key words: nanopore, shale, quantitative characterization, image digitization, image processing, Wufeng Formation, southeastern Sichuan

CLC Number: 

  • TE132.2
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