Prediction of Water Saturation from Well Log Data by Machine Learning Algorithms: Boosting and Super Learner
Intelligent predictive methods have the power to reliably estimate water saturation (S<sub>w</sub>) compared to conventional experimental methods commonly performed by petrphysicists. However, due to nonlinearity and uncertainty in the data set, the prediction might not be accurate. Ther...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/9/6/666 |