Pages that link to "Item:Q2192827"

The following pages link to Rapid estimation of permeability from digital rock using 3D convolutional neural network (Q2192827):

Displaying 10 items.

• Automated porosity estimation using CT-scans of extracted core data (Q2147571) (← links)
• Surrogate permeability modelling of low-permeable rocks using convolutional neural networks (Q2184490) (← links)
• A deep learning perspective on predicting permeability in porous media from network modeling to direct simulation (Q2192831) (← links)
• Image-based effective medium approximation for fast permeability evaluation of porous media core samples (Q2225333) (← links)
• Deep CNNs as universal predictors of elasticity tensors in homogenization (Q2679501) (← links)
• Prediction of permeability of porous media using optimized convolutional neural networks (Q2683510) (← links)
• Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS (Q6106108) (← links)
• Prediction of effective elastic moduli of rocks using graph neural networks (Q6202965) (← links)
• Image-based 3D reconstruction and permeability modelling of rock using enhanced interpretable deep residual learning (Q6545782) (← links)
• Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models (Q6662489) (← links)