Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters
Ahmed Abdelaal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Abstract
of 0.99, RMSE around 0.01, and AAPE around 1.8%). This work shows the reliability of the developed models to predict the pressure gradient from both mechanical and hydraulic drilling parameters while drilling.
Topics & Concepts
DrillingMean squared errorPressure gradientRate of penetrationCorrelation coefficientCoefficient of determinationPetroleum engineeringRandom forestSupport vector machinePore water pressurePredictive modellingComputer scienceGeologyStatisticsMathematicsMachine learningGeotechnical engineeringEngineeringMechanical engineeringOceanographyDrilling and Well EngineeringHydraulic Fracturing and Reservoir AnalysisTunneling and Rock Mechanics