Webinar: “Drilling in the digital age: case studies of field testing a real-time ROP optimization system using machine learning”

In this free webinar, Jan Kare Igland will explore the ML-driven ROP optimization solution capabilities and field test results from two offshore drilling operations in West Africa and Southeast Asia, where live recommendations by ML application were applied by rig crews to assess real-world effectiveness in improving ROP. Register for the webinar here!

Machine learning agent significantly reduces drilling time on ultra-deepwater exploration well

Location Gabon, West Africa Ultra deepwater Challenge Show that real-time rate of penetration (ROP) optimization can signifi cantly contribute to improving ROP, decreasing drilling time and reducing costs, even when an auto driller is used. Solution The agent was used by RTO engineers to provide the rig crew with real-time drilling parameter recommendations for optimizing…