Table 8 Regression, MSE, and MAE results of E-RNN and FNN, for predicting oil recovery factor and water cut profiles in model 1 and model 2.

From: A hybrid AI-genetic algorithm framework for the optimization of polymer flooding strategies: a numerical simulation-based approach

  

E-RNN (oil recovery factor)

FNN (water cut)

E-RNN (water cut)

FNN (oil recovery factor)

Model 1

R2

0.999

0.999

0.953

0.959

MSE

3.24E-06

5.04E-06

2.32E-04

1.85E-04

MAE

0.0014

0.0018

0.012

0.011

Model 2

R2

0.996

0.987

0.979

0.833

MSE

8.74E-05

2.72E-04

5.94E-05

2.81E-03

MAE

0.0075

0.013

0.0062

0.042

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