by exebenus-admin-2025 | Jan 31, 2025 | News
Home News Exebenus Spotter is now available on the Microsoft AppSource Exebenus Spotter, the field proven machine learning (ML) solution for optimizing well construction, is now available on Microsoft AppSource. Exebenus Spotter, the field proven machine learning (ML)...
by exebenus-admin-2025 | Dec 4, 2024 | Case Studies
Home Case studies Case study Gulf of Mexico exploration well with high risk of stuck pipe drilled in 162 days without incident Published: December 4, 2024 Location: Offshore, Sureste basin, Gulf of Mexico Products used: Exebenus Spotter, Stuck Pipe Agent "...
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 | Feb 12, 2024 | News
Home News Exebenus selected a one of 2023 Top Innovators Drilling Based on Darcy Partner’s unique data set from the activity of >10,000 users on the DP platform – combined with analysis on investments and market traction – Exebenus was identified as one of the Top...
by exebenus-admin-2025 | Jan 19, 2024 | News
Home News Exebenus Spotter: New Release, R 2.5 Exebenus’ latest release of Spotter R2.5- market-leading real-time stuck pipe prediction and ROP optimisation solution driven by physics-informed machine learning technology – further refines already existed multi-aspect...
