Upscaling Permeability Using Multiscale X‐Ray‐CT Images With Digital Rock Modeling and Deep Learning Techniques

This study presents a workflow to predict the upscaled absolute permeability of rock core direct from CT images whose resolution is not sufficient allow pore-scale computation. exploits deep learning technique with data raw rocks and their corresponding value obtained by performing flow simulation on high-resolution images. The map much larger region in predicted trained neural network. Finally, entire calculated Darcy solver, results showed good agreement experiment data. proposed based upscaling method allows estimating large-scale samples while preserving effects fine-scale pore structure variations due local heterogeneity.