Litcius/Paper detail

Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks

Salaheldin Elkatatny

2021Arabian Journal for Science and Engineering13 citationsDOI

Topics & Concepts

Artificial neural networkDrillingRotational speedRate of penetrationTorqueDrillModulusDrilling engineeringEngineeringDrilling fluidVolumetric flow rateRotation (mathematics)MathematicsComputer scienceMechanicsMechanical engineeringMachine learningArtificial intelligencePhysicsGeometryThermodynamicsDrilling and Well EngineeringHydraulic Fracturing and Reservoir AnalysisOil and Gas Production Techniques