Machine Learning Prediction of CO<sub>2</sub> Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions

Machine Learning Prediction of CO<sub>2</sub> Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions

The diffusion coefficient (DC) of CO<sub>2</sub> in brine is a key parameter in geological carbon sequestration and CO<sub>2</sub>-Enhanced Oil Recovery (EOR), as it governs mass transfer efficiency and storage capacity. This study employs three machine learning (ML) models—R...

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Bibliographic Details
Main Authors: Qaiser Khan, Peyman Pourafshary, Fahimeh Hadavimoghaddam, Reza Khoramian
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
diffusion
machine learning
random forest
gradient boosting regressor
extreme gradient boosting
enhanced oil recovery
Online Access:https://www.mdpi.com/2076-3417/15/15/8536
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