UNIS contact person: Snorre Olaussen
Enrolment in a master programme in geology and documented relevant field experience.
With large capacity to store CO2 off-shore, Norway has an important role for the implementation of CCS on large scale in Europe. The off-shore storage capacity has recently been mapped by NPD and published in the Norwegian CO2 storage atlases. One Atlas has been devoted to mapping storage capacity in the Barents Sea shelf. Possible storage reservoirs in the Barents Sea have undergone a complex story of burial and uplift, and many candidates are of limited extent, tight, fractured and with sealing or leaking faults.
Svalbard offers a 3D window into the Barents Sea reservoirs and provides excellent field sites for studying the typical Barents Sea carbonate and siliciclastic reservoir and seal rocks.
Students will get an introduction to the Longyearbyen CO2 storage laboratory and an overview of the regional and local Svalbard geology. This includes large-scale tectonics, main structural elements, and carbonate and siliciclastic sedimentology. The students will then get an introduction (update) to field geology and field methods. The main part of the course will be field excursions at various locations in the Billefjorden area and Deltaneset, studying structural elements and CO2 reservoir/seal characteristics. The students will finally learn work with printed maps and Petrel to assess the storage capacity of selected Barents Sea reservoirs.
The course can be taken as a part of a three-course package, starting with a 5 ECTS course at Colorado School of Mines (USA) 28 May–2 June 2018, providing an introduction to CCS, before learning the theoretical framework needed to estimate CO2 storage capacity at UiO (tentative time 5–15 June 2018, 5 ECTS). Those attending both GEO5911 and AG-349 will have the opportunity to get a scholarship covering a return travel Norway–USA, and accommodation. There will be a maximum of 20 scholarships available.
Upon completing the course, the students will have knowledge of:
- Storage plays (reservoir and seal systems)
- How to assess reservoir-seal quality from field observations
- Factors to consider when assessing the CO2 storage potentials in the Barents Sea and Svalbard
- Challenges of CO2 storage in deeply buried and fractured rocks
Upon completing the course, the students should be capable of:
- Understanding the main features of the Svalbard and Barents sea geology in a CCS perspective
- Evaluating the reservoir-seal system from regional and local maps and field observations
- Calculating the storage capacity based on geophysical information and surface maps
Upon completing the course, the students will have learned:
- How to assess the quality of reservoir and seal rocks from field observations
- How to prepare a field report
- How to work in a team/group
- How to present the work as a part of a team
The course extends over two weeks and is run in combination with AG-849.
Class room lectures:
- Introduction to Longyearbyen CO2 laboratory and local/regional geology
- Field geology, methods and practicals
- How to use geophysical information and maps to assess CO2 storage capacity
- Reservoir-seal system carbonate and siliciclastic reservoirs (structural elements, reservoir quality, local-regional extent of reservoir).
- Analysing geophysical data and maps using printouts and/or computer exercises using Petrel to assess storage capacity of selected reservoir-seal systems
- Core logging
Students will work in groups to solve specific topics to be decided on, and each student will build on this for their individual final reports.
Total lecture hours: 13 hours.
Total seminar hours: 8 hours.
Total exercise hours: 8 hours.
Total post-course work: 20 hours.
Field excursions: 3 days.
Compulsory learning activities:
All excursions and fieldwork.
All compulsory learning activities must be approved in order to sit the exam.
|Method||Percentage of final grade|
|Group presentations related to fieldwork||20%|
All assessments must be passed in order to pass the course.
Only the final grade will be reported, based on the weighted average of the grades from the examination parts.