 |
| Titel |
Models for large-scale Simulation of CO2-Storage in geological Formations |
| VerfasserIn |
Holger Class, Lena Walter |
| Konferenz |
EGU General Assembly 2010
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250044760
|
|
|
|
|
|
| Zusammenfassung |
| Carbon dioxide Capture and Storage (CCS) is a technology that is currently developed for
mitigating global greenhouse gas emissions while fossil fuel combustion still is a main pillar
for energy production in the next couple of decades.
CO2 is captured from large fossil-fuelled (mostly coal) power plants, then transported to a
storage site, and eventually injected into a deep geological formation.
Modelling CO2 storage in saline aquifers on a reservoir scale is demanding with respect
to the complexity of the non-linear processes occurring on different spatial and tempora
scales as well as with respect to computational costs. Large and complex geometries need
to be described for a realistic scenario. The models need to be able to describe
non-isothermal, multiphase and compositional processes that occur during CO2
storage.
In most cases, it is not necessary to describe all the physical processes for the entire
simulation time period. Especially for CO2 storage the dominating processes vary over
time.
During and shortly after the injection, the plume evolution in the formation is dominated
by advective multiphase processes driven by viscous and buoyant forces. Moreover, the
non-isothermal behaviour in the vicinity of the expanding plume due to the Joule Thompson
effect needs to be described. With increasing time scale, the dissolution of CO2 into the
brine, compositional effects, diffusion and density-driven brine-convection become
more and more important and cannot be neglected when modelling over large time
periods.
Considering this time-dependent behaviour, it is possible to describe a certain time scale
with models of reduced/adapted complexity. For the simulation of the short-term behaviour a
non-isothermal two-phase model can be applied whereas the long-term behaviour can be
described with a two-phase two-component model, neglecting non-isothermal effects. By
coupling these models of reduced complexity, the model efficiency is increased without
neglecting the relevant phenomena. |
|
|
|
|
|
|