Insights

What's New in Spotter R2.11: Fewer False Alarms, Real-Time ECD Detection, and Clearer ROP Feedback

Stuck Pipe Agent in the Gulf of Mexico: Two Hours of Warning Before the Salt Transition

Deepwater Africa: $410K Saved in a Controlled On/Off Test

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

Automatic Online Classification of Drilling Activities

System for Real-Time Rate of Penetration Optimization Using Machine Learning with Integrated Preventive Safeguards Against Hole Cleaning Issues and Stick-Slip

Building Trust in AI/ML solutions: Key Factors for Successful Adoption in Drilling Optimization and Hazard Prevention

Leveraging Targeted Machine Learning for Early Warning and Prevention of Stuck Pipe, Tight Holes, Pack Offs, Hole Cleaning Issues and Other Potential Drilling Hazards

Automated Detection of Rig Events from Real-Time Surface Data Using Spectral Analysis and Machine Learning