IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i2p280-d198385.html
   My bibliography  Save this article

A Prediction Model for Methane Adsorption Capacity in Shale Gas Reservoirs

Author

Listed:
  • Jie Zou

    (Curtin WA School of Mines: Minerals, Energy and Chemical Engineering, Perth 6151, Australia)

  • Reza Rezaee

    (Curtin WA School of Mines: Minerals, Energy and Chemical Engineering, Perth 6151, Australia)

Abstract

Estimation of methane adsorption capacity is crucial for the characterization of shale gas reservoirs. The methane adsorption capacity in shales is measured using high-pressure methane adsorption to obtain the adsorption isotherms, which can be fitted by Langmuir model. The determined Langmuir parameters can provide the methane adsorption capacity under actual reservoir conditions. In this study, a prediction model for the methane adsorption in shales was constructed based on 66 samples from 6 basins in China and Western Australia. The model was established in four steps: a model of Langmuir volume at experimental temperature, the temperature dependence of Langmuir volume, a model of Langmuir pressure, the temperature dependence of Langmuir pressure. In the model of Langmuir volume at experimental temperature, total organic carbon (TOC) and clay content ( V sh ) were considered. A positive relationship was observed between the TOC and the temperature effect on the Langmuir volume. As the Langmuir pressure is sensitive to various factors, the Langmuir pressure at experimental temperature shows no trend with the TOC, clay content and thermal maturity, but a positive trend with the Langmuir volume. The results of this study can help log analysts to quantify adsorbed gas from well-log data since TOC and V sh , which are the measure inputs of the introduced models, can be obtained from well-log data as well.

Suggested Citation

  • Jie Zou & Reza Rezaee, 2019. "A Prediction Model for Methane Adsorption Capacity in Shale Gas Reservoirs," Energies, MDPI, vol. 12(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:280-:d:198385
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/2/280/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/2/280/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Md. Matiar Rahman & Abu Zar Shafiullah & Animesh Pal & Md. Amirul Islam & Israt Jahan & Bidyut Baran Saha, 2021. "Study on Optimum IUPAC Adsorption Isotherm Models Employing Sensitivity of Parameters for Rigorous Adsorption System Performance Evaluation," Energies, MDPI, vol. 14(22), pages 1-20, November.
    2. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    3. Gao, Zheng & Li, Bobo & Li, Jianhua & Jia, Lidan & Wang, Zhonghui, 2023. "Adsorption characteristics and thermodynamic analysis of shale in northern Guizhou, China: Measurement, modeling and prediction," Energy, Elsevier, vol. 262(PA).
    4. Md. Matiar Rahman & Mahbubul Muttakin & Animesh Pal & Abu Zar Shafiullah & Bidyut Baran Saha, 2019. "A Statistical Approach to Determine Optimal Models for IUPAC-Classified Adsorption Isotherms," Energies, MDPI, vol. 12(23), pages 1-34, November.

    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:2:p:280-:d:198385. 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.