by Anne Siw Uberg | Oct 17, 2025 | Technical Papers
Home Technical Papers Modular framework integrating large language models with drilling hazard detection systems to provide operational context-informed interpretations and recommended actions SPE-227906-MS: S. Suhail, T.S Robinson, O. E. Revheim, P. Bekkeheien,...
by Anne Siw Uberg | May 20, 2025 | Technical Papers
Home Technical Papers System for Real-Time Rate of Penetration Optimization Using Machine Learning with Integrated Preventive Safeguards Against Hole Cleaning Issues and Stick-Slip SPE-223713-MS: T.S Robinson, P. Mohammed Arshad, O. E. Revheim, M. Regan, P....
by Anne Siw Uberg | Apr 22, 2025 | Technical Papers
Home Technical Papers Application of Predictive Machine-Learning Optimisation Enables Successful Delivery of Highly Challenging Wells SPE-224618-MS: O. Al-Farisi, I. Guenaga, R. Singhal, M. Hayes, Dragon Oil; M. Regan, Exebenus Abstract: In this paper a case...
by exebenus-admin-2025 | Mar 6, 2024 | Technical Papers
Home Technical Papers Enhancing Stuck Pipe Risk Detection in Exploration Wells Using Machine Learning Based Tools: A Gulf of Mexico Case Study SPE-217963-MS: D. Gomes (Exebenus), T. Jaritz (Wintershall Dea), T. S. Robinson (Exebenus), and O. E. Revheim (Exebenus)...
by exebenus-admin-2025 | Jan 19, 2024 | Technical Papers
Home Technical Papers Drilling In The Digital Age: Case Studies Of Field Testing A Real-time ROP Optimization System Using Machine Learning SPE-214521-MS:Al-Riyami (Exebenus), O. Revheim (Exebenus), T. S. Robinson (Exebenus), P. Batruny (PETRONAS Carigali), M. H. Meor...
by exebenus-admin-2025 | May 12, 2023 | Technical Papers
Home Technical Papers Leveraging Targeted Machine Learning for Early Warning and Prevention of Stuck Pipe, Tight Holes, Pack Offs, Hole Cleaning Issues and Other Potential Drilling Hazards OTC-32169-MS:Tim S. Robinson (Exebenus), Vlad K. Payrazyan (Exebenus) Abstract:...