Event
GOTECH 2025
—Energy, Technology & Innovation
Date: 21-23 April, 2025
Location: Dubai World Trade Centre, Dubai, UAE
Dragon Oil and Exebenus present case study highlighting the use of ML agents for stuck pipe prevention and ROP optimization in well operations
Join us at GOTECH 2025!
We’re excited to present a joint paper with Dragon Oil at GOTECH 2025. The paper highlights how Dragon Oil leveraged Exebenus Spotter’s machine learning agents—Stuck Pipe and ROP—to conduct a detailed forensic study of 99 days of drilling data in preparation for an upcoming well campaign in their challenging Caspian field assets.
Don’t miss this opportunity to learn how AI-driven solutions are transforming drilling efficiency and risk management!
April 23
Knowledge sharing ePoster – Station 1, 13:15 – 13:30
Application of Predictive Machine-learning Optimisation Enables Successful Delivery of Highly Challenging Wells.
I. Guenaga, R. Singhal, O. Al-Farisi, and M. Hayes, Dragon Oil; M. Regan, Exebenus
We look forward to connecting and sharing our experiences from our field proven solution with you!
Contact us
Set up a meeting with our team to see how the Exebenus Spotter ML agents can support your well construction operations.