Relevant Courses

Our research group is actively involved in teaching several advanced courses at the University of Bergen that provide a strong foundation for Master’s thesis work in reservoir physics. These courses are designed to equip students with both theoretical knowledge and practical skills relevant to our research areas, including CCS, gas hydrates, and underground hydrogen storage.

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Student at lab
Photo: Merry H. Navjord
Mandatory Courses
  • ENERGI261 – Fundamentals of Reservoir Physics 
    Introduces key concepts such as porous media flow, capillary pressure, permeability, and wettability. The course also covers well logging and technologies for low-carbon energy production, including CO₂ capture and storage (CCS). This foundational knowledge is essential for understanding fluid behavior in subsurface reservoirs.
  • ENERGI364 – Experimental Reservoir Physics 
    Offers hands-on training in laboratory methods used in porous media research. Students perform experiments on porosity, permeability, and displacement efficiency, and learn how to integrate experimental data into numerical models. These skills are directly applicable to thesis projects involving core analysis and flow experiments.
  • ENERGI365 – Multiphase Flow Simulation in Porous Media 
    Focuses on the theoretical and computational aspects of simulating multiphase flow using models such as the black oil model. Students gain experience with simulation tools and learn to analyze complex flow scenarios, which are critical for modeling-based thesis work. 
Recommended Courses
Course Integration with Thesis Work

These courses are tightly integrated with the research activities of our group. Students apply what they learn in coursework directly to their thesis projects, whether through: 

  • Designing and conducting experiments in our labs
  • Developing and validating simulation models
  • Analyzing real data from ongoing research projects
  • Engaging with current literature and scientific communication 

This synergy ensures that students are well-prepared to contribute meaningfully to our research and are equipped with the skills needed for careers in academia, industry, or government. 

Last updated: 21.01.2026