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Author

R. Elgaddafi

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Sep 2026

Enhancing Drilling Performance Using Real-Time Machine Learning Models: A Framework for Predicting Formation Transitions During Drilling Operations

Accurate real-time identification of formation transitions is essential for improving drilling efficiency and reducing nonproductive time, particularly in geologically complex environments. Accurate estimates of sonic and bulk density logs are crucial inputs for subsurface formation identification; however, acquiring...

R. Elgaddafi, R. Ahmed, B. Biltayib et al. · 0 citations
Conference Aug 2026

Real-Time Prediction of Near-Bit Rock Geo-Mechanical Properties from Drilling and Gamma Ray Data: A Comparative Analysis Using Machine Learning and Deep Learning Techniques

A robust and reliable machine learning framework for real-time prediction of young's modulus is presented, reducing dependence on core testing and enabling dynamic decision-making during drilling operations, and can be seamlessly integrated into real-time drilling advisory systems.

R. Elgaddafi, B. M. Bitayib, K. Amadi et al. · 0 citations
Conference Aug 2026

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.

Nayem Ahmed, Ramadan Ahmed, V. Soriano et al. · 0 citations
Conference Aug 2026

Real-Time Prediction of Rock Young Modulus and Uniaxial Compressive Strength from Artificial Intelligence-Based Correlations

This study investigates an artificial intelligence (AI) based approach for real-time prediction of Young's modulus and UCS using drilling and logging data and reveals that neutron porosity, formation bulk density and Gamma Ray are the three most influential predictors.

K. Amadi, R. Elgaddafi, B. M. Bitayib et al. · 0 citations

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