Machine Learning Models for CO₂ WAG and SAG in an Open-Source Environment Open-Source Predictive Models for Optimizing CO₂-EOR
The study develops predictive models based on machine learning to optimize the evaluation of CO₂ injection in enhanced oil recovery (EOR), reducing the need for multiple complex numerical simulations. Using open-source tools, the models achieve high accuracy in predicting production and CO₂ retention, positioning them as an efficient and reproducible alternative for decision-making in reservoir engineering.