Machine learning agents for stuck-pipe prevention and ROP optimization.
Exebenus Spotter machine learning agents enable real-time drilling optimization and alert monitoring teams to stuck-pipe risks.
Digital operating procedures and real time activity validation.
Exebenus Pulse generates digital operating procedures, standardization based on best practices and active risk management. Real-time activity validation ensures adherence to plan and provides real-time records of planned vs actual activities.
If you are a player in the oil and gas industry today, you are already on the road toward digitalization. Our experts will guide you through the process, one manageable step at a time.
Invited experts from Wintershall Dea and Exebenus will discuss "Enhancing Stuck Pipe Risk Detection in Exploration Wells Using AI/ML Based Tools: A Gulf of Mexico Case Study"
Dalila Gomes, Ph.D., Project Manager, will present at SPE Asia Pacific Wells Week Workshop in Kuala Lumpur, Malaysia
At the SPE Norway Subsurface Conference, Exebenus’s own Dr. Serafima Schaefer will present and show several examples of successful implementation of AI/ML products in different fields.