IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i11p2094-d236241.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/11/2094/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/11/2094/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fujing Sun & Jianmeng Sun & Min Wang & Peng Chi, 2024. "Analysis and Application of Fluid Components in High-Clay Matrix Shale Oil: A Case Study of Gulong Shale Oil," Energies, MDPI, vol. 17(15), pages 1-17, July.
    2. 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.
    3. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    4. 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.
    5. 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.
    6. 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.
    7. Jiangfeng Cui & Long Cheng, 2019. "Liquid Storage Characteristics of Nanoporous Particles in Shale: Rigorous Proof," Energies, MDPI, vol. 12(20), pages 1-15, October.
    8. 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).
    9. Rezaeyan, Amirsaman & Kampman, Niko & Pipich, Vitaliy & Barnsley, Lester C. & Rother, Gernot & Magill, Clayton & Ma, Jingsheng & Busch, Andreas, 2024. "Compaction and clay content control mudrock porosity," Energy, Elsevier, vol. 289(C).
    10. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2094-:d:236241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.