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This is a Experimental Study study (also classified as: Quantitative Study).

September 17, 2025

A Novel Super-Resolution-Based Multi-Scale Pore Network Modeling Method for Characterizing Complex Rock Inner Structures

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Innovative workflow integrates deep learning and pore network modeling, capturing rock heterogeneity.

The new method integrates deep learning super-resolution with pore network modeling to characterize rocks.
High-resolution imaging (2.68 μm/voxel) was combined with low-resolution data to create a robust multi-scale model.
The technique was validated by comparing predicted permeability from the model against experimental measurements.
This approach enhances understanding of fluid dynamics and reservoir characterization in heterogeneous rock formations.

Liu et al. (2025) studied this question.

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