Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I. Energies 2023, 16, 6079

Key Points

• The aim is to evaluate the role of machine learning in improving subsurface reservoir simulations.
• Review of existing literature on machine learning applications in reservoir simulation.
• Analysis of various machine learning algorithms used in the field.
• Discussion of case studies demonstrating machine learning impact.
• Identified several machine learning techniques that improve simulation accuracy.
• Highlighted energy efficiency gains from implementing these techniques.
• Showed potential for enhanced predictive modeling in reservoir management.