IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i13p4864-d1176639.html
   My bibliography  Save this article

Numerical-Well-Testing Interpretation of Injection/Falloff Testing for Coalbed Methane Well in Hedong Coalfield

Author

Listed:
  • Shiyue Fang

    (College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China)

  • Xujing Zhang

    (College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China)

  • Xinzhan Li

    (National Pipe Network Group United Pipeline Co., Ltd., West East Gas Transmiss Gansu-Shaanxi Branch, Xi’an 710021, China)

  • Yue Chen

    (College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China)

  • Baiyi He

    (National Pipe Network Group United Pipeline Co., Ltd., West East Gas Transmiss Yinchuang Branch, Yinchuang 750001, China)

  • Yuan Bao

    (College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China)

  • Dongmin Ma

    (College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China)

Abstract

Numerical well testing is used mostly in oil/gas, geothermal, and coalbed methane injection/falloff well-testing interpretations while few published studies have been presented on how to adjust the models and numerical experiments parameters. Meanwhile, there is no simple and highly applicable evaluation standard on the approximation degree between the simulated and field-measured pressure response. In this paper, seven groups of numerical experiments were conducted to obtain the simulated pressure response. The Pearson correlation coefficients and the grey correlation between the simulated and field-measured pressure response were calculated to evaluate the approximation degree. In homogeneous, stress-independent, multi-layered, heterogeneous and integrated models, the simulated pressure response curves all fit to the field data well at the early and late time of the falloff period. However, the highest approximation degree was only found in the integrated model. Finally, the permeability, initial pressure, skin factor and investigation radius of the tested CBM reservoir were determined. The results show that, to obtain a reliable interpretation result, it is best to give an approximation degree evaluation standard on the approximation degree between the simulated and field-measured pressure response, build an integrated numerical model, and input the correct parameters, such as the effective thickness and the testing fluid viscosity. Otherwise, it will also drop into a pitfall of multi-results. The method we used is very relevant to CBM exploration and safe mining in Hedong coalfield.

Suggested Citation

  • Shiyue Fang & Xujing Zhang & Xinzhan Li & Yue Chen & Baiyi He & Yuan Bao & Dongmin Ma, 2023. "Numerical-Well-Testing Interpretation of Injection/Falloff Testing for Coalbed Methane Well in Hedong Coalfield," Energies, MDPI, vol. 16(13), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4864-:d:1176639
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/13/4864/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/13/4864/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shiwu Li & Mengzhu Guo & Linhong Wang & Meng Chai & Facheng Chen & Yunong Wei, 2017. "Analysis on the Correlation Degree between the Driver’s Reaction Ability and Physiological Parameters," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-8, February.
    2. McLean, Katie & Zarrouk, Sadiq J., 2017. "Pressure transient analysis of geothermal wells: A framework for numerical modelling," Renewable Energy, Elsevier, vol. 101(C), pages 737-746.
    Full references (including those not matched with items on IDEAS)

    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. Kaya, Eylem & Adityatama, Daniel & Zarrouk, Sadiq J., 2019. "Investigation of pressure transient analysis methods for single-phase and CO2-rich geothermal reservoirs," Renewable Energy, Elsevier, vol. 141(C), pages 162-180.
    2. Marina Iorio & Alberto Carotenuto & Alfonso Corniello & Simona Di Fraia & Nicola Massarotti & Alessandro Mauro & Renato Somma & Laura Vanoli, 2020. "Low Enthalpy Geothermal Systems in Structural Controlled Areas: A Sustainability Analysis of Geothermal Resource for Heating Plant (The Mondragone Case in Southern Appennines, Italy)," Energies, MDPI, vol. 13(5), pages 1-26, March.
    3. Yongzheng Yang & Zhigang Du & Fangtong Jiao & Fuquan Pan, 2021. "Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel," IJERPH, MDPI, vol. 18(18), pages 1-18, September.

    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:16:y:2023:i:13:p:4864-:d:1176639. 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.