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Study on CO2 transport in fractal porous media for a Hausdorff fractal derivative advection-dispersion model.

Authors :
Chang, Ailian
Huang, Le
Li, Qian-Qian
Vafai, Kambiz
Shao, Minglu
Source :
International Journal of Numerical Methods for Heat & Fluid Flow. 2023, Vol. 33 Issue 10, p3410-3424. 15p.
Publication Year :
2023

Abstract

Purpose: The classical advection-dispersion equation (ADE) model cannot accurately depict the gas transport process in natural geological formations. This paper aims to study the behavior of CO2 transport in fractal porous media by using an effective Hausdorff fractal derivative advection-dispersion equation (HFDADE) model. Design/methodology/approach: Anomalous dispersion behaviors of CO2 transport are effectively characterized by the investigation of time and space Hausdorff derivatives on non-Euclidean fractal metrics. The numerical simulation has been performed with different Hausdorff fractal dimensions to reveal characteristics of the developed fractal ADE in fractal porous media. Numerical experiments focus on the influence of the time and space fractal dimensions on flow velocity and dispersion coefficient. Findings: The physical mechanisms of parameters in the Hausdorff fractal derivative model are analyzed clearly. Numerical results demonstrate that the proposed model can well fit the history of gas production data and it can be a powerful technique for depicting the early arrival and long-tailed phenomenon by incorporating a fractal dimension. Originality/value: To the best of the authors' knowledge, first time these results are presented. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09615539
Volume :
33
Issue :
10
Database :
Academic Search Index
Journal :
International Journal of Numerical Methods for Heat & Fluid Flow
Publication Type :
Periodical
Accession number :
169966501
Full Text :
https://doi.org/10.1108/HFF-03-2023-0158