Developing a Robust Surrogate Model of Chemical Flooding Based on the Artificial Neural Network for Enhanced Oil Recovery Implications

Table 2

Statistical parameters of the proposed approaches in prediction of efficiency of chemical flooding in oil reservoirs.

	PSO-ANN
	RF	NPV
Correlation coefficient ()	0.9997	0.9996
Mean square error (MSE)	0.0012	0.0015
Mean absolute error (MAE)	0.098	0.0206