oa Case Study: Transfer Learning Application for Permeability Prediction in A Carbonate Reservoir

In this case study, we aim to develop a transfer learning-based workflow for predicting missing permeability in the reservoir. Trained data must be representative of the field under study. The overall idea here is to combine conventional PERM FACIMAGE input with the transfer learning method to leverage their complementary strength.