IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i18p3445-d264879.html
   My bibliography  Save this article

Experimental and Simulation Studies on Adsorption and Diffusion Characteristics of Coalbed Methane

Author

Listed:
  • Donghyeon Kim

    (Department of Mineral Resources and Energy Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Korea
    These authors equally contribute to this work.)

  • Youngjin Seo

    (Department of Mineral Resources and Energy Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Korea
    These authors equally contribute to this work.)

  • Juhyun Kim

    (Department of Mineral Resources and Energy Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Korea)

  • Jeongmin Han

    (Korea Gas Corporation, 638-1 Sangnok-gu, Ansan, Gyoggi-do 15328, Korea)

  • Youngsoo Lee

    (Department of Mineral Resources and Energy Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Korea)

Abstract

Coalbed methane (CBM) content is generally estimated using the isotherm theory between pressure and adsorbed amounts of methane. It usually determines the maximum content of adsorbed methane or storage capacity. However, CBM content obtained via laboratory experiment is not consistent with that in the in-situ state because samples are usually ground, which changes the specific surface area. In this study, the effect of the specific surface area relative to CBM content was investigated, and diffusion coefficients were estimated using equilibrium time analysis. The differences in adsorbed content with sample particle size allowed the determination of a specific surface area where gases can adsorb. Also, there was an equilibrium time difference between fine and lump coal, because more time is needed for the gas to diffuse through the coal matrix and adsorb onto the surface in lump coal. Based on this, we constructed a laboratory-scale simulation model, which matched with experimental results. Consequently, the diffusion coefficient, which is usually calculated through canister testing, can be easily obtained. These results stress that lump coal experiments and associated simulations are necessary for more reliable CBM production analysis.

Suggested Citation

  • Donghyeon Kim & Youngjin Seo & Juhyun Kim & Jeongmin Han & Youngsoo Lee, 2019. "Experimental and Simulation Studies on Adsorption and Diffusion Characteristics of Coalbed Methane," Energies, MDPI, vol. 12(18), pages 1-16, September.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3445-:d:264879
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/18/3445/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/18/3445/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hao Sui & Xijian Li & Peng Pei, 2022. "Study on the Influence of Characteristics of Pore Structure on Adsorption Capacity of Tectonic Coals in Guizhou Province," Energies, MDPI, vol. 15(11), pages 1-11, May.
    2. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    3. Xin Li & Jie Zhang & Rongxin Li & Qi Qi & Yundong Zheng & Cuinan Li & Ben Li & Changjun Wu & Tianyu Hong & Yao Wang & Xiaoxiao Du & Zaipeng Zhao & Xu Liu, 2021. "Numerical Simulation Research on Improvement Effect of Ultrasonic Waves on Seepage Characteristics of Coalbed Methane Reservoir," Energies, MDPI, vol. 14(15), pages 1-15, July.
    4. Jiyuan Zhang & Qihong Feng & Xianmin Zhang & Qiujia Hu & Jiaosheng Yang & Ning Wang, 2020. "A Novel Data-Driven Method to Estimate Methane Adsorption Isotherm on Coals Using the Gradient Boosting Decision Tree: A Case Study in the Qinshui Basin, China," Energies, MDPI, vol. 13(20), pages 1-21, October.

    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:18:p:3445-:d:264879. 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.