IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i10p2880-d555930.html
   My bibliography  Save this article

Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization

Author

Listed:
  • Bryan X. Medina-Rodriguez

    (Department of Chemical Engineering, University of Wyoming, Laramie, WY 82071, USA)

  • Vladimir Alvarado

    (Department of Chemical Engineering, University of Wyoming, Laramie, WY 82071, USA)

Abstract

The analysis of porosity and pore structure of shale rocks has received special attention in the last decades as unconventional reservoir hydrocarbons have become a larger parcel of the oil and gas market. A variety of techniques are available to provide a satisfactory description of these porous media. Some techniques are based on saturating the porous rock with a fluid to probe the pore structure. In this sense, gases have played an important role in porosity and pore structure characterization, particularly for the analysis of pore size and shapes and storage or intake capacity. In this review, we discuss the use of various gases, with emphasis on N 2 and CO 2 , for characterization of shale pore architecture. We describe the state of the art on the related inversion methods for processing the corresponding isotherms and the procedure to obtain surface area and pore-size distribution. The state of the art is based on the collation of publications in the last 10 years. Limitations of the gas adsorption technique and the associated inversion methods as well as the most suitable scenario for its application are presented in this review. Finally, we discuss the future of gas adsorption for shale characterization, which we believe will rely on hybridization with other techniques to overcome some of the limitations.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2880-:d:555930
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/10/2880/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/10/2880/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Chen, Shangbin & Zhu, Yanming & Wang, Hongyan & Liu, Honglin & Wei, Wei & Fang, Junhua, 2011. "Shale gas reservoir characterisation: A typical case in the southern Sichuan Basin of China," Energy, Elsevier, vol. 36(11), pages 6609-6616.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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.
    2. Danlong Li & Meiyan Fu & Yun Huang & Dong Wu & Rui Xue, 2021. "The Characteristics and Main Controlling Factors for the Formation of Micropores in Shale from the Niutitang Formation, Wenshuicun Section, Southwest China," Energies, MDPI, vol. 14(23), pages 1-19, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Yin, Hong & Zhou, Junping & Xian, Xuefu & Jiang, Yongdong & Lu, Zhaohui & Tan, Jingqiang & Liu, Guojun, 2017. "Experimental study of the effects of sub- and super-critical CO2 saturation on the mechanical characteristics of organic-rich shales," Energy, Elsevier, vol. 132(C), pages 84-95.
    3. Chen, Junqing & Jiang, Fujie & Cong, Qi & Pang, Xiongqi & Ma, Kuiyou & Shi, Kanyuan & Pang, Bo & Chen, Dongxia & Pang, Hong & Yang, Xiaobin & Wang, Yuying & Li, Bingyao, 2023. "Adsorption characteristics of shale gas in organic–inorganic slit pores," Energy, Elsevier, vol. 278(C).
    4. Zhiyao Zhang & Shang Xu & Qiyang Gou & Qiqi Li, 2022. "Reservoir Characteristics and Resource Potential of Marine Shale in South China: A Review," Energies, MDPI, vol. 15(22), pages 1-21, November.
    5. Yuanyuan Tian & Qing Chen & Changhui Yan & Hongde Chen & Yanqing He & Yufeng He, 2022. "A New Adsorption Equation for Nano-Porous Shale Rocks and Its Application in Pore Size Distribution Analysis," Energies, MDPI, vol. 15(9), pages 1-13, April.
    6. Gou, Qiyang & Xu, Shang & Hao, Fang & Yang, Feng & Shu, Zhiguo & Liu, Rui, 2021. "The effect of tectonic deformation and preservation condition on the shale pore structure using adsorption-based textural quantification and 3D image observation," Energy, Elsevier, vol. 219(C).
    7. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    8. Dai, Xuguang & Wei, Chongtao & Wang, Meng & Ma, Ruying & Song, Yu & Zhang, Junjian & Wang, Xiaoqi & Shi, Xuan & Vandeginste, Veerle, 2023. "Interaction mechanism of supercritical CO2 with shales and a new quantitative storage capacity evaluation method," Energy, Elsevier, vol. 264(C).
    9. Wensong Huang & Ping Wang & Gang Hui & Xiangwen Kong & Yuepeng Jia & Lei Huang & Yufei Bai & Zhiyang Pi & Ye Li & Fuyu Yao & Penghu Bao & Yujie Zhang, 2024. "Unconventional Fracture Networks Simulation and Shale Gas Production Prediction by Integration of Petrophysics, Geomechanics and Fracture Characterization," Energies, MDPI, vol. 17(20), pages 1-16, October.
    10. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Zheng, Tianyu & Luo, Bing & Li, Jing & Yu, Rui, 2019. "Quantitative prediction of oil and gas prospects of the Sinian-Lower Paleozoic in the Sichuan Basin in central China," Energy, Elsevier, vol. 174(C), pages 861-872.
    11. Wang, Sha & Jiang, Xiumin & Han, Xiangxin & Tong, Jianhui, 2012. "Investigation of Chinese oil shale resources comprehensive utilization performance," Energy, Elsevier, vol. 42(1), pages 224-232.
    12. Qin, Chao & Jiang, Yongdong & Luo, Yahuang & Zhou, Junping & Liu, Hao & Song, Xiao & Li, Dong & Zhou, Feng & Xie, Yingliang, 2020. "Effect of supercritical CO2 saturation pressures and temperatures on the methane adsorption behaviours of Longmaxi shale," Energy, Elsevier, vol. 206(C).
    13. Lu, Yiyu & Xu, Zijie & Li, Honglian & Tang, Jiren & Chen, Xiayu, 2021. "The influences of super-critical CO2 saturation on tensile characteristics and failure modes of shales," Energy, Elsevier, vol. 221(C).
    14. 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.
    15. Chunhui Cao & Liwu Li & Yuhu Liu & Li Du & Zhongping Li & Jian He, 2020. "Factors Affecting Shale Gas Chemistry and Stable Isotope and Noble Gas Isotope Composition and Distribution: A Case Study of Lower Silurian Longmaxi Shale Gas, Sichuan Basin," Energies, MDPI, vol. 13(22), pages 1-15, November.
    16. Li, Daolun & Zhou, Xia & Xu, Yanmei & Wan, Yujin & Zha, Wenshu, 2023. "Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate," Energy, Elsevier, vol. 285(C).
    17. Wu, Jianguo & Luo, Chao & Zhong, Kesu & Li, Yi & Li, Guoliang & Du, Zhongming & Yang, Jijin, 2023. "Innovative characterization of organic nanopores in marine shale by the integration of HIM and SEM," Energy, Elsevier, vol. 282(C).
    18. Lenhard, L.G. & Andersen, S.M. & Coimbra-Araújo, C.H., 2018. "Energy-Environmental Implications Of Shale Gas Exploration In Paraná Hydrological Basin, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 56-69.
    19. Yunna, Wu & Kaifeng, Chen & Yisheng, Yang & Tiantian, Feng, 2015. "A system dynamics analysis of technology, cost and policy that affect the market competition of shale gas in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 235-243.
    20. Wang, Qiang & Zhan, Lina, 2019. "Assessing the sustainability of the shale gas industry by combining DPSIRM model and RAGA-PP techniques: An empirical analysis of Sichuan and Chongqing, China," Energy, Elsevier, vol. 176(C), pages 353-364.

    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:14:y:2021:i:10:p:2880-:d:555930. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.