Insights

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)

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)

Leveraging Targeted Machine Learning for Early Warning and Prevention of Stuck Pipe, Tight Holes, Pack Offs, Hole Cleaning Issues and Other Potential Drilling Hazards (OTC 2023)

Automated Detection of Rig Events from Real-Time Surface Data Using Spectral Analysis and Machine Learning (SPE/IADC Drilling Conference 2023)

Unsupervised Machine Learning: A Well Planning Tool for the Future (ASME OMAE 2022)

Digitalization of Detailed Drilling Operation Plans and Verification of Automatic Progress Tracking with an Online Drilling Simulator Environment (IADC/SPE Drilling Conference 2020)