Optimizing Methanol Injection Quantity for Gas Hydrate Inhibition Using Machine Learning Models
Estimating the minimal methanol required to inhibit gas hydrate formation in pipelines is vital for operational efficiency, cost reduction, and sustainability. This task is complex due to dynamic variables like flow rate, temperature, pressure, gas specific gravity, and water content. Machine learni...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/6/3229 |
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