Education

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: 06.2043 - 06.2026

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

Sondre Løver

Topic: Optimal Control Strategies for Minimizing Bendign Moments in Marine Risers. Period Aug 2023- June 2024

Alisher Khodajev

Topic: Efficient integral equation methods. For modelling and inversion of electromagnetic induction data: Focus on the use of different scattering approximations. Period: Aug 2022-June 2024.