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Machine learning models to predict rare earth elements distribution in Tethyan phosphate ore deposits: Geochemical and depositional environment implications

Nasreddine Tahar-Belkacem, Ouafi Ameur-Zaimeche, Rabah Kechiched, Abdelhamid Ouladmansour, Salim Heddam, David A. Wood, Roberto Buccione, Giovanni Mongelli

2024Geochemistry16 citationsDOIOpen Access PDF

Topics & Concepts

Sedimentary depositional environmentTerrigenous sedimentGeologyGeochemistryRare-earth elementGradient boostingPhosphoriteTectonicsRare earthFeature (linguistics)MineralogyPhosphateSedimentary rockRandom forestPaleontologyMachine learningComputer scienceOrganic chemistryPhilosophyStructural basinLinguisticsChemistryGeochemistry and Geologic MappingGeochemistry and Elemental AnalysisHydrocarbon exploration and reservoir analysis
Machine learning models to predict rare earth elements distribution in Tethyan phosphate ore deposits: Geochemical and depositional environment implications | Litcius