Insights

Modular Framework Integrating Large Language Models with Drilling Hazard Detection Systems to Provide Operational Context-Informed Interpretations and Recommended Actions (SPE ATCE 2025)

Exebenus and Petrolink Partner to Deliver AI-Powered Real-Time Insights for Smarter Well Delivery

Dragon Oil and Exebenus Sign MoU to Advance AI in Drilling Operations

Automatic Online Classification of Drilling Activities (SPE/IADC Drilling Conference 2025)

System for Real-Time Rate of Penetration Optimization Using Machine Learning with Integrated Preventive Safeguards Against Hole Cleaning Issues and Stick-Slip (SPE/IADC Drilling Conference 2025)

Building Trust in AI/ML Solutions: Key Factors for Successful Adoption in Drilling Optimization and Hazard Prevention (SPE Norway Subsurface 2024)

Enhancing Stuck Pipe Risk Detection in Exploration Wells Using Machine Learning Based Tools: A Gulf of Mexico Case Study (IADC/SPE Drilling Conference 2024)

Exebenus and Kongsberg Digital Form Strategic Partnership to Enhance Oil and Gas Operations Efficiency.

Drilling in the Digital Age: Case Studies of Field Testing a Real-Time ROP Optimization System Using Machine Learning (SPE/IADC Middle East Drilling 2023)