Machine learning-driven permeability prediction in carbonates and sandstones using NMR relaxation data

Key Points

• Permeability predictions using machine learning demonstrate significant accuracy, effectively correlating NMR relaxation data.
• The model achieved up to 90% accuracy in permeability estimation across diverse rock types in the dataset.
• Analysis utilized machine learning algorithms to interpret NMR relaxation measurements for permeability prediction.
• These findings highlight the potential to improve resource management in oil and gas by refining permeability assessments.