ESTIMATION OF RESERVOIR POROSITY FROM DRILLING PARAMETERS USING ARTIFICIAL NEURAL NETWORKS
Ahmad Al-AbdulJabbar, Khaled Al-Azani, Salaheldin Elkatatny
2020Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description31 citationsDOI
Topics & Concepts
Artificial neural networkPetroleum engineeringDrillingPorosityGeologyDrilling fluidArtificial intelligenceComputer scienceGeotechnical engineeringEngineeringMechanical engineeringDrilling and Well EngineeringHydraulic Fracturing and Reservoir AnalysisMineral Processing and Grinding