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Machine learning with model selection to predict TOC from mineralogical constituents: case study in the Sichuan Basin

Camila Martins Saporetti, Douglas Lima Fonseca, L. C. Oliveira, Egberto Pereira, Leonardo Goliatt

2022International Journal of Environmental Science and Technology18 citationsDOI

Topics & Concepts

Context (archaeology)Support vector machineComputer scienceMachine learningGeneralizationData miningArtificial intelligenceModel selectionGeologyMathematicsPaleontologyMathematical analysisHydrocarbon exploration and reservoir analysisCoal Properties and UtilizationGeochemistry and Geologic Mapping
Machine learning with model selection to predict TOC from mineralogical constituents: case study in the Sichuan Basin | Litcius