eDrilling (Norway)

Recent papers from eDrilling (Norway)

1. Data-local federated learning for fixed-step depth-ahead prediction of LWD gamma-ray logs in heterogeneous oilfieldsGeomechanics and Geophysics for Geo-Energy and Geo-Resources · 2026
2. CO2 Hydrate Inhibition in Drilling Fluids Using Mono-Ethylene Glycol2025
3. Deep Reinforcement Learning for Well Trajectory Design with Collision AvoidanceSPE Journal · 2025
4. Optimizing Drilling Operations in Real-Time: The Role of Digital Twins in Reducing Risks and Enhancing Performance2025
5. Assessing Hydrate Formation Risk in Infill CCS Wells2024
6. Integrity of Drilling Fluid As Primary Barrier for CCS Wells2024
7. A Journey Towards Safer and Faster Drilling: Real-Time Advisory With Digital Twins and AI2024
8. Real-Time Automated Drilling Optimization with Digital Twins: Enhancing Performance, Mitigating Risks, and Reducing Costs2024
9. Drilling Advisory Automation with Digital Twin and AI Technologies2024
10. CCS Well Control Impact of CO2 on Drilling Fluid Performance2024
11. GPU based High-efficiency PSO Algorithm with Initialization strategy and Thread Slef-adaption2023
12. Quantitative Evaluation of Imputation Methods Using Bounds Estimation of the Coefficient of Determination for Data-Driven Models with an Application to Drilling LogsSPE Journal · 2023
13. Prediction of Stuck Pipe Incidents Using Models Powered by Deep Learning and Machine Learning2022
14. Drilling Parameter Optimization in Real-Time2022
15. Automatic Realtime Monitoring of Drilling Using Digital Twin Technologies Enhance Safety and Reduce Costs2019
16. Drilling Automated Realtime Monitoring Using Digital Twin2018
17. Drilling with Digital Twins2018
18. Drilling Digital Twin Success Stories the Last 10 Years2018
19. Using Simulator to Prepare for Total Loss Risk Scenarios Utilizing Controlled Mud Cap Drilling in the Barents-Sea2018
20. Advanced Drilling Simulation and Engineering Center Provide Support for Challenging Drilling Operations in the South China Sea2016