Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs

Figure 13

Fitness of permeability results provided by KNN-cored predictor (a), SVR-cored predictor (b), RF-cored predictor (c), and LightGBM-cored predictor (d) in the second experiment. “standard fit” means the fitting is gained in the first experiment; KNN = k-nearest neighbors; SVR = support vector regression; RF = random forest; LightGBM = light gradient boosting machine; RMSE = root-mean-square error.

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