Prediction of ORF for Optimized CO<sub>2</sub> Flooding in Fractured Tight Oil Reservoirs via Machine Learning
Tight reservoirs characterized by complex physical properties pose significant challenges for extraction. CO<sub>2</sub> flooding, as an EOR technique, offers both economic and environmental advantages. Accurate prediction of recovery rate plays a crucial role in the development of tight...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/6/1303 |