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The 3D thermal field of the Upper Rhine Graben

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/persons/resource/freymark

Freymark,  J.
6.1 Basin Modelling, 6.0 Geotechnologies, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/sippel

Sippel,  Judith
6.1 Basin Modelling, 6.0 Geotechnologies, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/leni

Scheck-Wenderoth,  Magdalena
6.1 Basin Modelling, 6.0 Geotechnologies, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Bär,  K.
External Organizations;

/persons/resource/manfred

Stiller,  Manfred
2.7 Near-surface Geophysics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Fritsche,  J.-G.
External Organizations;

Kracht,  M.
External Organizations;

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Zitation

Freymark, J., Sippel, J., Scheck-Wenderoth, M., Bär, K., Stiller, M., Fritsche, J.-G., Kracht, M. (2017): The 3D thermal field of the Upper Rhine Graben - Tagungsband, 77. Jahrestagung der Deutschen Geophysikalischen Gesellschaft (Potsdam 2017).


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_2817894
Zusammenfassung
The Upper Rhine Graben (URG) has a large socioeconomic relevance as it provides a great potential for geothermal energy production in Germany and France. For the utilisation of this energy resource it is crucial to understand the structure and the observed temperature anomalies in the rift basin. In the framework of the EU-funded “IMAGE” project (Integrated Methods for Advanced Geothermal Exploration, grant agreement no. 608553), we apply a data-driven numerical modelling approach to quantify the processes and properties controlling the spatial distribution of subsurface temperatures. Typically, reservoir-scale numerical models are developed for predictions on the subsurface hydrothermal conditions and for reducing the risk of drilling non-productive geothermal wells. One major problem related to such models is setting appropriate boundary conditions that define, for instance, how much heat enters the reservoir from greater depths. Therefore, we first build a regional lithospheric-scale 3D structural model, which covers not only the entire URG but also adjacent geological features like the Black Forest and the Vosges Mountains. In particular, we use a multidisciplinary dataset (e.g. well data, seismic reflection data, existing structural models, gravity) to construct the geometries of the sediments, the crust and the lithospheric mantle that control the spatial distribution of thermal conductivity, radiogenic heat production, permeability, and hence temperatures in the URG. By applying a data-based and lithology-dependent para-meterisation of this lithospheric-scale 3D structural model and a 3D finite element method, we calculated in a first step the steady-state conductive thermal field for the entire region. Available measured temperatures (down to depths of 5 km) were used to validate this physics-based 3D thermal model, but also 137 revealed heat trans-port by hydrothermal convection. In a second step we performed numerical simulations of coupled fluid and heat transport on a smaller-scale and higher resolved model, for which the lithospheric-scale model provides the thermal boundary conditions. We show that the Variscan upper crustal domains with their different radiogenic heat production controls the regional thermal field. Highest temperatures are predicted for the URG, where a thermal blanketing effect due to thick thermally low-conductive sediments is locally modified by additional fluid flow.