ANN prediction of the CO2 solubility in water and brine under reservoir conditions
Having accurate knowledge on CO2 solubility in reservoir liquids plays a pivotal role in geoenergy harvest and carbon capture, utilization, and storage (CCUS) applications. Data-driven works leveraging artificial neural networks (ANN) have presented a promising tool for forecasting CO2 solubility. I...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-03-01
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| Series: | AIMS Geosciences |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/geosci.2025009 |
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