“Machine Learning Reveals Temperature and Asphaltenes’ Impact on Crude Oil Residue during Pyrolysis, Informing In-Situ Combustion Enhanced Oil Recovery Practices”

https://pubmed.ncbi.nlm.nih.gov/38114589

This study used advanced machine learning techniques to accurately model crude oil residue during pyrolysis, finding that temperature and asphaltenes have the greatest influence on fuel deposition, providing insights that can benefit in-situ combustion enhanced oil recovery (ISC EOR) practices.