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The manuscript evaluates the performance of CO2-enhanced oil recovery (EOR) using artificial neural network models to predict key metrics such as oil recovery factor and CO2 storage. The study demonstrates that neural networks can accurately forecast outcomes based on various reservoir conditions and injection designs, achieving root mean square errors of less than 3% for certain metrics. The results suggest that optimized CO2 injection strategies can enhance both oil recovery and carbon sequestration, prov

Author

lam.pham2004

Language

EN