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The research aims to develop a multiscale modeling framework for two-phase flow in porous media that integrates microscale data into macroscale predictions.

May 29, 2026Physics of Fluids

A data-driven multiscale model for two-phase flow in porous media

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The research aims to develop a multiscale modeling framework for two-phase flow in porous media that integrates microscale data into macroscale predictions.
Developed a data-driven framework coupling Darcy-scale and pore-scale models.
Performed pore-scale simulations on representative geometries to derive closure relations.
Used a surrogate model to facilitate efficient evaluation in macroscale computations.
Numerical results indicate the multiscale coupling is stable and yields consistent macroscale predictions.
The proposed framework provides a richer representation of flow behavior beyond standard models.
Demonstrated feasibility of data-driven closure modeling for two-phase Darcy flow.

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Randomized double-blind trial analyzes two-phase flow in porous media, suggesting effective modeling techniques.

Cite This Study

Malusà et al. (2026) studied this question.

synapsesocial.com/papers/6a192f88fab5b468c4418ac2 https://doi.org/10.1063/5.0332026

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A data-driven multiscale model for two-phase flow in porous media

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Cite This Study

A data-driven multiscale model for two-phase flow in porous media

Key Points

Discussion

Implication

Cite This Study

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