Litcius/Paper detail

An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction

Zhipeng Feng, Hamdan Gani, Hamdan Gani, Annisa Dwi Damayanti, Helmy Gani, Helmy Gani

2023Geoenergy Science and Engineering29 citationsDOI

Topics & Concepts

DrillingRate of penetrationDrillVolumetric flow rateTorquePetroleum engineeringComputer scienceDrill bitDrilling fluidDrill pipeMachine learningArtificial intelligenceGeologyMechanical engineeringEngineeringMechanicsPhysicsThermodynamicsDrilling and Well EngineeringTunneling and Rock MechanicsHydrogen embrittlement and corrosion behaviors in metals