Figure 3 | Scientific Reports

Figure 3

From: XGBoost algorithm optimized by simulated annealing genetic algrithm for permeability prediction modeling of carbonate reservoirs

Figure 3

Flowchart of the SA-GA-XGBoost algorithm. Standardization of logging data: select the core analysis data as the training set. Optimization of permeability characteristic parameters: by calculating the correlation coefficient between logging curve and permeability, the characteristic parameters are optimized. Initialize model parameters: set the initial parameters of the model, and optimize the SA-GA algorithm to obtain the optimal parameters. Establish XGBoost model: according to the optimal parameters, establish the algorithm model, predict the test set, and obtain the prediction results.

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