Litcius/Paper detail

Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models

Hugo Tamoto, Rafael dos Santos Gioria, Cleyton de Carvalho Carneiro

2022Journal of Petroleum Science and Engineering23 citationsDOI

Topics & Concepts

PorosityPetrophysicsMachine learningArtificial neural networkWell loggingArtificial intelligenceComputer sciencePattern recognition (psychology)Materials scienceGeologyPetroleum engineeringComposite materialNMR spectroscopy and applicationsHydrocarbon exploration and reservoir analysisHydraulic Fracturing and Reservoir Analysis
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models | Litcius