Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method
A reservoir with a thickness less than 0.5 m is generally considered to be a thin reservoir, in which it is difficult to directly identify oil-water layers with conventional logging data, and the identify result coincidence rate is low. Therefore, a support vector machine method (SVM) is introduced...
| Glavni autori: | , , , , |
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| Format: | Članak |
| Jezik: | English |
| Izdano: |
MDPI AG
2023-02-01
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| Serija: | Energies |
| Teme: | |
| Online pristup: | https://www.mdpi.com/1996-1073/16/4/1638 |