Enhancing Carbonate Reservoir Evaluation with Machine Learning: A Game Changer for Well Performance and Economic Viability #AGPTnexus #Xegate #Startups #DarikNova #FutureForward #MachineLearning #ReservoirEngineering #CarbonateReservoirs #Petrophysics #OilAndGas #DataScience #EnergyInnovation #WellPerformance #DecisionTree #AI #DataDrivenInsights #ReservoirManagement #EconomicViability #Innovation #Tech
Graduate Teaching Assistant | Petroleum Engineer | Data Analyst | Freelance Instructor | Principle Frac Engineer | MBA | PMP®
Harnessing Machine Learning for Accurate Evaluation of Carbonate Reservoirs 📍This paper presents a comprehensive workflow integrating traditional petrophysical methods and machine learning to evaluate tight carbonate reservoirs. By using decision tree models, the study successfully identifies reservoir quality and fracture distribution, enhancing predictive capabilities for well performance and economic viability. 📍The machine learning approach clusters wells based on conventional log data, improving the classification of successful and unsuccessful wells. The decision tree model’s high precision and recall rates underscore its reliability, providing valuable insights for optimizing reservoir development strategies. https://lnkd.in/dK9shhNK #Carbonate #Reservoirs, #Machine #Learning, please#Petrophysical Analysis, #Well Clustering