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:...
by exebenus-admin-2025 | Apr 1, 2021 | Technical Papers
Home Technical Papers Case Studies for the Successful Deployment of Wells Augmented Stuck Pipe Indicator in Wells Real Time Centre IPTC-21199-MS Meor M. Hakeem Meor Hashim, M. Hazwan Yusoff, M. Faris Arriffin, and Azlan Mohamad (PETRONAS Carigali), Tengku Ezharuddin...
