Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727

Puntos clave

• This review aims to discuss the applications of machine learning techniques in subsurface reservoir simulation and their effectiveness.
• Conducted a comprehensive literature review of machine learning applications in reservoir modeling.
• Evaluated various machine learning algorithms and their performance.
• Compared traditional simulation methods with machine learning approaches.
• Identified key machine learning techniques, such as neural networks and support vector machines, used in simulations.
• Demonstrated improved accuracy and efficiency of reservoir predictions using machine learning compared to traditional methods.
• Highlighted several case studies where machine learning significantly enhanced simulation outcomes.