Prosjekter
Flere publikasjoner
- Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models
- An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations
- A Hybrid Approach to Detect Bad Hole Cleaning
- Automatisert rapportering av feil og hendelser
- Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model
- Real time model identification using multi-fidelity models in managed pressure drilling
- Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling
- SPE 167864 - Closing the Integration Gap for the Next Generation of Drilling Decision Support Systems
- Real-time Optimization of Rate of Penetration during Drilling Operation
- Regularized Nonlinear Moving-Horizon Observer With Robustness to Delayed and Lost Data Les publikasjonen
Annen formidling
- GeoEnergy 2023
- An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations
- Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models
- A Hybrid Approach to Detect Bad Hole Cleaning
- LowEmission - Integrated topside - downhole modelling (webinar)
- Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model
- Deep Tech Musings, Episode 5 "AI/ML in Oil & Gas Industry"
- The First Results of the DESCRAMBLE Project
- DEMO2000 - Drilling Mud Process Control
- Automatic Model Calibration for Drilling Automation