Speaker
Description
Foam injection has attracted increasing interest as an effective strategy for improving gas mobility control in subsurface processes, including CO$_2$ utilization and storage, enhanced oil recovery, and environmental remediation. Recent advances show that incorporating nanoparticles can significantly enhance foam stability, particularly under harsh reservoir conditions. However, nanoparticle addition also introduces competing mechanisms: while it strengthens the foam and increases its apparent viscosity, excessive particle retention may reduce permeability and impair injectivity. Despite growing experimental evidence, a rigorous analytical understanding of these competing effects remains limited.
In this work, we propose new mathematical models that couple foam flow in porous media with nanoparticle transport and retention, and perform analytical investigations of how these particles influence foam-flow efficiency. Analytical and semi-analytical solutions allow us to evaluate several operational indicators relevant to field-scale applications, including breakthrough time, water production, and pressure-drop evolution. We also examine how particle retention affects sweep efficiency and overall pressure-drop behavior. By systematically comparing the positive and negative effects of nanoparticles, this study provides a unified theoretical framework for understanding and optimizing nanoparticle-stabilized foam injection.
| References | T. Danelon, P. Paz, G. Chapiro, The mathematical model and analysis of the nanoparticle-stabilized foam displacement, Appl. Math. Model. 125 (2024) 630–649. doi:10.1016/j.apm.2023.10.022. T. Danelon, R. Farajzadeh, P. Bedrikovetsky, G. Chapiro, Modeling nanoparticle-stabilized foam flow in porous media accounting for particle retention and permeability reduction, Interpore J. 2 (2025). |
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| Country | Brazil |
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