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Towards 4D Joint Inversion for Subsurface Monitoring - Synthetic Study in the Context of the Ketzin CO2 Storage Site

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Bergmann,  P.
6.3 Geological Storage, 6.0 Geotechnologies, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Jordan,  M.
External Organizations (TEMPORARY!);

Querendez,  E.
External Organizations (TEMPORARY!);

Romdhane,  A.
External Organizations (TEMPORARY!);

Eliasson,  P.
External Organizations (TEMPORARY!);

Huang,  F.
External Organizations (TEMPORARY!);

Zhang,  F.
External Organizations (TEMPORARY!);

Ivandic,  M
External Organizations (TEMPORARY!);

Juhlin,  C.
External Organizations (TEMPORARY!);

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Zitation

Bergmann, P., Jordan, M., Querendez, E., Romdhane, A., Eliasson, P., Huang, F., Zhang, F., Ivandic, M., Juhlin, C. (2015): Towards 4D Joint Inversion for Subsurface Monitoring - Synthetic Study in the Context of the Ketzin CO2 Storage Site - Papers, The Third Sustainable Earth Sciences Conference and Exhibition (Celle, Germany 2015).
https://doi.org/10.3997/2214-4609.201414241


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1776916
Zusammenfassung
The Ketzin project provides an experimental test site for the geological storage of CO2 in Germany. During the CO2 injection period, as well as the ongoing post-injection period, a broad range of geophysical monitoring activities was conducted. In particular time-lapse seismic and electrical resistivity tomography (ERT) data sets have been extensively collected. In order to exploit the complementary imaging characteristics of these co-located data sets, we apply a joint inversion algorithm for combined processing. We use for this purpose an approach which enforces common model structure through spatial parameter gradients. Within this ongoing study, this contribution focuses on the validation of the implemented time-lapse joint inversion algorithm by means of two synthetic models. The second model captures the main features of the geology at the site and includes a hypothetical CO2 distribution. The tests are conducted as a benchmark to study how the joint inversion performs in comparison to the individual inversions and to set up the joint inversion for application to the real data sets from the Ketzin site.