English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Matching Pressure Measurements and Observed CO2 Arrival Times with Static and Dynamic Modelling at the Ketzin Storage site

Authors

Class,  Holger
External Organizations;

Mahl,  Lena
External Organizations;

Ahmed,  Waqas
External Organizations;

/persons/resource/norden

Norden,  Ben
4.1 Reservoir Technologies, 4.0 Chemistry and Material Cycles, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/mkuehn

Kühn,  M.
5.3 Hydrogeology, 5.0 Earth Surface Processes, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/kempka

Kempka,  T.
5.3 Hydrogeology, 5.0 Earth Surface Processes, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource
No external resources are shared
Fulltext (public)

1284933.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Class, H., Mahl, L., Ahmed, W., Norden, B., Kühn, M., Kempka, T. (2015): Matching Pressure Measurements and Observed CO2 Arrival Times with Static and Dynamic Modelling at the Ketzin Storage site. - Energy Procedia, 76, 623-632.
https://doi.org/10.1016/j.egypro.2015.07.883


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1284933
Abstract
At the Ketzin pilot site 67,000 tonnes of CO2 were injected between 2008 and 2013 into a sandstone formation. Pressure monitor- ing and observation of CO2 arrival in two observation wells provide valuable field measurements for history matching. Modelling of the CO2 injection faces several challenges and uncertainties as discussed in this study. Different approaches towards matching the observed data are presented. It can be shown that a calibration of the simulation models (ECLIPSE E100 and Dumux) to the data is possible with good accuracy, while considerable uncertainties in the model parameters remain, to a large amount resulting from strong correlations between permeability and porosity.