A robust machine learning framework for predicting contact angle in nano-assisted chemical EOR
, CuO). These findings advance nanofluid screening capability, support reservoir-specific formulation design, and provide decision-support guidelines for field-scale nano-cEOR deployment.
Authors
- Omar Mahmoud (ORCID: https://orcid.org/0000-0002-9223-6349)
- Ahmed Farid Ibrahim (ORCID: https://orcid.org/0000-0001-7258-8542)
- Youssef E. Kandiel (ORCID: https://orcid.org/0000-0001-7422-2149)
Institutions
- King Fahd University of Petroleum and Minerals (SA)
- Khalifa University of Science and Technology (AE)
- American University in Cairo (EG)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-05-08
- DOI
- https://doi.org/10.1038/s41598-026-48016-1
- Primary Topic
- Enhanced Oil Recovery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American University in Cairo