Publikasjoner
- Towards Integrated Asset Modelling With Intermittent Green Power
- Integrity of Drilling Fluid As Primary Barrier for CCS Wells
- Assessing Hydrate Formation Risk in Infill CCS Wells
- 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
- Drilling Parameter Optimization in Real-Time
- A Hybrid Approach to Detect Bad Hole Cleaning
- Drilling Parameter Optimization in Real-Time
- Dynamic Reservoir Behaviour and Production Due to Periodic Supply of Wind Power
- Well Control Incident in the North Sea as Interpreted with Advanced Gas Influx Modelling
Annen formidling
- CCS Well Control Impact of CO2 on Drilling Fluid Performance
- CCS Well Control Impact of CO2 on Drilling Fluid Performance
- Utilising reservoir behaviour in efforts to integrate renewable energy sources in oil and gas production
- Real-time Automated Pore Pressure And Wellbore Stability Updates In A Digital Twin
- Real-time Automated Pore Pressure And Wellbore Stability Updates in A Digital Twin, Using Smart Agents And Log Predictions Ahead of Bit, Example From Norwegian Continental Shelf"
- 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
- PressureAhead
- Pilot field trial of real-time pore pressure and well stability updates in a digital twin
