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Speaker
Description
Previous dynamic permeability models often relied on simplified and assumed pore-scale parameters such as average pore radius, potentially leading to inaccuracies. This study introduces a novel approach that directly incorporates measured pore size distributions, addressing these limitations and providing a more realistic representation of fluid flow in porous media. Key findings include:
- Pore size distribution's primary impact on dynamic permeability:
The model demonstrates that pore size and its distribution exert a
first-order effect on dynamic permeability. - Integration of measurable pore size data: The model utilizes pore size distributions obtained from techniques like MICP or NMR, enabling direct
incorporation of measured data for enhanced model accuracy and
applicability. - Incorporation of slip boundary conditions for
wettability effects: The model accounts for wettability's influence
on dynamic permeability, providing a more comprehensive understanding
of fluid flow behaviour in porous media with varying wettability
characteristics.
Overall, this study presents a practical dynamic permeability model that overcomes limitations of existing approaches by incorporating pore size distribution and wettability effects. This model holds significant potential for improved characterization and understanding of fluid flow in diverse porous media applications, potentially leading to advancements in various fields.
| Country | Australia |
|---|---|
| Conference Proceedings | I am not interested in having my paper published in the proceedings |
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