Bauer, S., Class, H., Ebert, Markus, Feeser, Volker, Goetze, H., Holzheid, Astrid, Kolditz, O., Rosenbaum, Sabine, Rabbel, Wolfgang, Schaefer, D. and Dahmke, Andreas (2012) Modeling, parameterization and evaluation of monitoring methods for CO2 storage in deep saline formations: the CO2-MoPa project. Environmental Earth Sciences, 67 (2). pp. 351-367. DOI 10.1007/s12665-012-1707-y.

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Abstract

Capture and geological sequestration of CO2 from large industrial sources is considered a measure for reducing anthropogenic emissions of CO2 and thus mitigating climate change. One of the main storage options proposed are deep saline formations, as they provide the largest potential storage capacities among the geologic options. A thorough assessment of this type of storage site therefore is required. The CO2-MoPa project aims at contributing to the dimensioning of CO2 storage projects and to evaluating monitoring methods for CO2 injection by an integrated approach. For this, virtual, but realistic test sites are designed geometrically and fully parameterized. Numerical process models are developed and then used to simulate the effects of a CO2 injection into the virtual test sites. Because the parameterization of the virtual sites is known completely, investigation as well as monitoring methods can be closely examined and evaluated by comparing the virtual monitoring result with the simulation. To this end, the monitoring or investigation method is also simulated, and the (virtual) measurements are recorded and evaluated like real data. Application to a synthetic site typical for the north German basin showed that pressure response has to be evaluated taking into account the layered structure of the storage system. Microgravimetric measurements are found to be promising for detecting the CO2 phase distribution. A combination of seismic and geoelectric measurements can be used to constrain the CO2 phase distribution for the anticline system used in the synthetic site.

Document Type:	Article
Keywords:	CO2 storage, Saline Formation, Numerical Simulation, Monitoring
Research affiliation:	Kiel University > Kiel Marine Science OceanRep > The Future Ocean - Cluster of Excellence Kiel University
Refereed:	Yes
Open Access Journal?:	No
Publisher:	American Medical Associati
Projects:	Future Ocean
Date Deposited:	14 May 2014 10:22
Last Modified:	19 Aug 2019 10:15
URI:	https://oceanrep.geomar.de/id/eprint/23821

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