Table 5 Evaluation metrics of different models for porosity prediction.
From: Application of stacked bidirectional LSTM neural networks in reservoir porosity prediction
Neural network model | MAE | RMSE | Predictive accuracy (%) |
|---|---|---|---|
RNN | 0.0059 | 0.0154 | 78.13 |
LSTM | 0.0042 | 0.013 | 84.38 |
Un-attention S-BiLSTM | 0.0031 | 0.010 | 87.50 |
S-BiLSTM | 0.0021 | 0.0092 | 92.19 |