This part of the module seeks to import and process various datasets that are accessible to the public and relevant for study and research related to CO2 storage.
We use tools based on the functionality of the CO2 laboratory and other MRST modules to decide on optimal well placements and injection rates in a large-scale CO2 storage scenario into the Utsira Formation. After 50 years of injection, we simulate 3000 years of migration and continuously track the status of the injected CO2.
We use tools based on the functionality of the CO2 laboratory and other MRST modules to estimate theoretical trapping capacity of the Utsira formation.
We use MRST-co2lab's spill-point analysis tool to identify the structural traps in the top formation of the Hammerfest Basin. We then compare these identified traps to the Norwegian Petroleum Directorate's (NPD) storage capacity estimates, which are reported in their CO2 Storage Atlas of the Barents Sea.
Using the formation datasets provided by NPD's CO2 Storage Atlas, we calculate the theoretical storage capacity of 23 of the formations, in terms of structural, residual, and dissolution trapping.
In formations with very large trapping capacities, injection rates are likely to be limited due to pressure buildup. We use the Bjarmeland formation to demonstrate the importance of optimizing the injection rates, subject to maintaining the formation pressure under a predefined limit.
Optimized injection strategies are obtained for three example formations. The storage potentials of these formations are then categorized based on whether the storage was limited by leakage, pressure buildup, or a mixture of both.
The following papers all show examples in which functionality from MRST-co2lab has been used to analyse public data sets:
In particular, MRST-co2lab offers simple access to the following data sets
Published July 2, 2014