Evaluating the Critical Performance of CO2-Enhanced Oil Recovery Process by Artificial Neural Network Models

초록

This study aims to generate and investigate the possibility of using a neural network to predict each critical performance precisely during the WAG process rather than only at the end of the project. Two reservoir parameters and two injection design variables are assigned as neurons in the Input layer, whereas five essential output values after 5, 15, 25, and 35 injection cycles were included in Output layer of the ANN structure.