The pre-trained ANN to predict effective permeability

This MATLAB file contains a pre-trained artificial neural network used to predict relative permeability in porous media based on pore-scale fluid configurations. The network architecture includes four hidden layers with 50 neurons each and was trained on 22,556 fluid configurations generated from lattice Boltzmann simulations of a North Sea sandstone under 36 wettability conditions.