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| Titel |
A comparative approach for modeling of CO2 storage capacity and associated pressure response - analysis of data from South Scania site, Sweden |
| VerfasserIn |
Liang Tian, Zhibing Yang, Byeongju Jung, Saba Joodaki, Auli Niemi, Fritjof Fagerlund, Mikael Erlström |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250091976
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| Publikation (Nr.) |
 EGU/EGU2014-6509.pdf |
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| Zusammenfassung |
| Comprehensive modeling with models of varying level of accuracy can give valuable
information for the appraisal of CO2 storage potential and the assessment of risks for a given
site. Here, we present a comparative modeling approach/workflow where a sequence of
mathematical models of different levels of complexity are applied. These models span from
semi-analytical solution to three-dimensional (3D) numerical simulator. The Scania Site,
southwest Sweden where the geological model was developed within the MUSTANG project
activities is selected for an example study. Initially, a semi-analytical approach is
used to investigate pressure increase induced by CO2 injection so as to determine a
viable injection strategy (including injection rate and number of injection wells) and
parameter sensitivity. The result is then used as a starting point in subsequent numerical
simulations with TOUGH2/ECO2N for 2D and 3D simulations. At the same time a
simplified numerical model with the vertical equilibrium (VE) approach is also
implemented. A systematic comparison is done between the different methods in terms of
pressure response. CO2 spreading during both the injection and post-injection phase
is also carefully compared between the 2D, VE and 3D numerical simulations.
Through these comparisons we can thus identify a model with the appropriate level
of complexity according to the objectives of the modeling study. Given the data
available, we show an effective modeling strategy in achieving order-of-magnitude
estimates on the behavior of the identified CO2 traps during and after the injection. |
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