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Comparative Porosity and Pore Structure Assessment in Shales: Measurement Techniques, Influencing Factors and Implications for Reservoir Characterization

Author

Listed:
  • Yujie Yuan

    (Western Australian School of Mines, Minerals, Energy and Chemical Engineering, Curtin University, Perth, WA 6845, Australia)

  • Reza Rezaee

    (Western Australian School of Mines, Minerals, Energy and Chemical Engineering, Curtin University, Perth, WA 6845, Australia)

Abstract

Porosity and pore size distribution (PSD) are essential petrophysical parameters controlling permeability and storage capacity in shale gas reservoirs. Various techniques to assess pore structure have been introduced; nevertheless, discrepancies and inconsistencies exist between each of them. This study compares the porosity and PSD in two different shale formations, i.e., the clay-rich Permian Carynginia Formation in the Perth Basin, Western Australia, and the clay-poor Monterey Formation in San Joaquin Basin, USA. Porosity and PSD have been interpreted based on nuclear magnetic resonance (NMR), low-pressure N 2 gas adsorption (LP-N 2 -GA), mercury intrusion capillary pressure (MICP) and helium expansion porosimetry. The results highlight NMR with the advantage of detecting the full-scaled size of pores that are not accessible by MICP, and the ineffective/closed pores occupied by clay bound water (CBW) that are not approachable by other penetration techniques (e.g., helium expansion, low-pressure gas adsorption and MICP). The NMR porosity is largely discrepant with the helium porosity and the MICP porosity in clay-rich Carynginia shales, but a high consistency is displayed in clay-poor Monterey shales, implying the impact of clay contents on the distinction of shale pore structure interpretations between different measurements. Further, the CBW, which is calculated by subtracting the measured effective porosity from total porosity, presents a good linear correlation with the clay content (R 2 = 0.76), implying that our correlated equation is adaptable to estimate the CBW in shale formations with the dominant clay type of illite.

Suggested Citation

  • Yujie Yuan & Reza Rezaee, 2019. "Comparative Porosity and Pore Structure Assessment in Shales: Measurement Techniques, Influencing Factors and Implications for Reservoir Characterization," Energies, MDPI, vol. 12(11), pages 1-14, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2094-:d:236241
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    Citations

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    Cited by:

    1. Xiaoqi Wang & Yanming Zhu & Yang Wang, 2020. "Fractal Characteristics of Micro- and Mesopores in the Longmaxi Shale," Energies, MDPI, vol. 13(6), pages 1-21, March.
    2. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    3. Xiaoyan Zou & Xianqing Li & Jizhen Zhang & Huantong Li & Man Guo & Pei Zhao, 2021. "Characteristics of Pore Structure and Gas Content of the Lower Paleozoic Shale from the Upper Yangtze Plate, South China," Energies, MDPI, vol. 14(22), pages 1-29, November.
    4. Aliya Mukhametdinova & Andrey Kazak & Tagir Karamov & Natalia Bogdanovich & Maksim Serkin & Sergey Melekhin & Alexey Cheremisin, 2020. "Reservoir Properties of Low-Permeable Carbonate Rocks: Experimental Features," Energies, MDPI, vol. 13(9), pages 1-25, May.
    5. Bryan X. Medina-Rodriguez & Vladimir Alvarado, 2021. "Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization," Energies, MDPI, vol. 14(10), pages 1-24, May.
    6. Jiangfeng Cui & Long Cheng, 2019. "Liquid Storage Characteristics of Nanoporous Particles in Shale: Rigorous Proof," Energies, MDPI, vol. 12(20), pages 1-15, October.
    7. Lei, Jian & Pan, Baozhi & Guo, Yuhang & Fan, YuFei & Xue, Linfu & Deng, Sunhua & Zhang, Lihua & Ruhan, A., 2021. "A comprehensive analysis of the pyrolysis effects on oil shale pore structures at multiscale using different measurement methods," Energy, Elsevier, vol. 227(C).
    8. Jianbin Zhao & Shizhen Ke & Weibiao Xie & Zhehao Zhang & Bo Wei & Jinbin Wan & Daojie Cheng & Zhenlin Li & Chaoqiang Fang, 2024. "Research on the Shale Porosity–TOC Maturity Relationship Based on an Improved Pore Space Characterization Method," Energies, MDPI, vol. 17(5), pages 1-14, February.

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