Collaboration with universities and students is very valuable for DigiWells' research activities. It is also nice to see how relevant what they do is to industry, as several of the graduated PhD students are now working in industry.
Post Docs.
Nils Christian Aars Wilhelmsen
Topic: Modeling and detection of slip in damping subs. Period: 2023-2024.
Liang Zhang
Post Doc.: DDBot – AI for automatic population of semantics Affiliation: Energy and Technology, NORCE Supervisor: Benoît Daireaux, Sergey Alyaev Associated Epic: WP4 - Interoperability and user-system interaction Period: 06.2024 - 06.2026
Pauline Nüsse
Topic: Optimizing the placement of distributed damping subs
PhD Students
Ressi Bonti Muhammad
Topic: Sequential decision analysis in drilling and geosteering. Period: 2021-2024.
Luis Alberto Saavedra Jerez
Topic: Impact of the expected measurement quality and uncertainty while working on the engineering of a well. Period: 2021-2024.
Felix James Pacis
Topic: Online / Offline Deep learning models. Period: 2021-2024.
Pauline Nüsse
Topic: Automatic control of vibration-damping sleeves for drill strings. Period: 2021-2024.
Durra Handri Saputera
Topic: Borehole electromagnetic modeling and inversion Affiliation: University of Bergen Supervisor: Morten Jakobsen Co-Supervisors: Sergey Alyaev, Nazanin Jahani, Kjersti Solberg Eikrem Associated Epic: Real-time geophysical data imaging while drilling Period: 2022-2025
Marios Gkionis
Topic: Physics-Informed Multi-task Learning, applications to Fault Detection and Diagnosis. Affiliation: NTNU, Department of Engineering Cybernetics Supervisor: Ole Morten Aamo Co-Supervisors: Bjarne Andre Grimstad, Ulf Jacob Flø Aarsnes Associated Epic: Distributed Drilling Control Period: 2022 - 2025
John Isak Fjellvang Villanger
Topic: Modeling and optimization of the drilling process using tools within machine learning. Physics informed machine learning in drilling. Period: 2023-2024.
Åsmund Aamodt Resell
Topic: Computational fluid dynamics and drill string mechanics. Affiliation: University of Stavanger Supervisor: Hans Joakim Skadsem Co-Supervisors: Rodica G. Mihai, Knut Erik Teigen Giljarhus Period: 2023 - 2026
Michal Chudoba
Topic: AI-Driven Data Analysis in Drilling Operations. Period: 2025-2028
Prathik Prasad
Topic: Reinforcement Learning and Simulation for Automated Drilling Optimization. Period: 2025-2028
Master degrees
Sondre Løver
Alisher Khodajev