Nayem Ahmed

Machine Learning–Based Rate of Penetration Prediction Using Multi-Well Field Data in Deviated Wells

A model is identified that not only reproduces historical data accurately but also yields correct responses under a diverse range of varying input parameters, and the proposed methodology establishes a reproducible basis for developing more reliable ROP forecasting tools for complex well trajectories.