IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i18p4927-d416265.html
   My bibliography  Save this article

Pore-Scale Lattice Boltzmann Simulation of Gas Diffusion–Adsorption Kinetics Considering Adsorption-Induced Diffusivity Change

Author

Listed:
  • Zhigao Peng

    (College of Civil Engineering, Hunan City University, Yiyang 413000, China
    Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Hunan City University, Yiyang 413000, China)

  • Shenggui Liu

    (School of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Yingjun Li

    (State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Zongwei Deng

    (College of Civil Engineering, Hunan City University, Yiyang 413000, China)

  • Haoxiong Feng

    (College of Civil Engineering, Hunan City University, Yiyang 413000, China)

Abstract

The diffusion–adsorption behavior of methane in coal is an important factor that both affecting the decay rate of gas production and the total gas production capacity. In this paper, we established a pore-scale Lattice Boltzmann (LB) model coupled with fluid flow, gas diffusion, and gas adsorption–desorption in the bi-dispersed porous media of coalbed methane. The Knudsen diffusion and dynamic adsorption–desorption of gas in clusters of coal particles were considered. Firstly, the model was verified by two classical cases. Then, three dimensionless numbers, Re , Pe , and Da , were adopted to discuss the impact of fluid velocity, gas diffusivity, and adsorption/desorption rate on the gas flow–diffusion–adsorption process. The effect of the gas adsorption layer in micropores on the diffusion–adsorption–desorption process was considered, and a Langmuir isotherm adsorption theory-based method was developed to obtain the dynamic diffusion coefficient, which can capture the intermediate process during adsorption/desorption reaches equilibrium. The pore-scale bi-disperse porous media of coal matrix was generated based on the RCP algorithm, and the characteristics of gas diffusion and adsorption in the coal matrix with different Pe , Da , and pore size distribution were discussed. The conclusions were as follows: (1) the influence of fluid velocity on the diffusion–adsorption process of coalbed methane at the pore-scale is very small and can be ignored; the magnitude of the gas diffusivity in macropores affects the spread range of the global gas diffusion and the process of adsorption and determines the position where adsorption takes place preferentially. (2) A larger Fickian diffusion coefficient or greater adsorption constant can effectively enhance the adsorption rate, and the trend of gas concentration- adsorption is closer to the Langmuir isotherm adsorption curve. (3) The gas diffusion–adsorption–desorption process is affected by the adsorption properties of coal: the greater the p L or V m , the slower the global gas diffusivity decay. (4) The effect of the gas molecular adsorption layer has a great impact on the kinetic process of gas diffusion–adsorption–desorption. Coal is usually tight and has low permeability, so it is difficult to ensure that the gas diffusion and adsorption are sufficient, the direct use of a static isotherm adsorption equation may be incorrect.

Suggested Citation

  • Zhigao Peng & Shenggui Liu & Yingjun Li & Zongwei Deng & Haoxiong Feng, 2020. "Pore-Scale Lattice Boltzmann Simulation of Gas Diffusion–Adsorption Kinetics Considering Adsorption-Induced Diffusivity Change," Energies, MDPI, vol. 13(18), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4927-:d:416265
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/18/4927/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/18/4927/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tian, Zhiwei & Xing, Huilin & Tan, Yunliang & Gao, Jinfang, 2014. "A coupled lattice Boltzmann model for simulating reactive transport in CO2 injection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 155-164.
    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. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    2. 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.

    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. Yidi Wan & Chengzao Jia & Wen Zhao & Lin Jiang & Zhuxin Chen, 2023. "Micro-Scale Lattice Boltzmann Simulation of Two-Phase CO 2 –Brine Flow in a Tighter REV Extracted from a Permeable Sandstone Core: Implications for CO 2 Storage Efficiency," Energies, MDPI, vol. 16(3), pages 1-26, 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:13:y:2020:i:18:p:4927-:d:416265. 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.