Trained Models on Synthetic Permeability Fields, 3+1 Data Points

Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. The vanilla UNet can be applied directly end-to-end, just does not give very good results.

For inference follow the guidelines of Heat Plume Prediction and applied all 3 steps/models sequentially to your input data. Based on raw data from doi.org/10.18419/darus-5063.