Predicting hydrogen and oxygen indices (HI, OI) from conventional well logs using a Random Forest machine learning algorithm
John B. Gordon, Hamed Sanei, Per Kent Pedersen
Topics & Concepts
WirelineRank correlationPetrophysicsMean squared errorStatisticsWell loggingRandom forestLinear regressionSpearman's rank correlation coefficientFormation evaluationMineralogyMathematicsAlgorithmGeologyMachine learningPetroleum engineeringComputer scienceGeotechnical engineeringPorosityTelecommunicationsWirelessGeochemistry and Geologic MappingHydrocarbon exploration and reservoir analysisAtmospheric and Environmental Gas Dynamics