Origin of data

Data repositories

Registry of Research Data Repositories

Thematic data

3d subsurface temperatures

Involved Institutions: LIAG
Editor: Agemar, T.
Agemar, T., Schellschmidt, R. & Schulz, R. (2012): Subsurface Temperature Distribution of Germany. – Geothermics, 44: 65-77.

Static vertical sections Baden-Wuerttemberg

Involved Institutions: RP Freiburg
Editor: Jodocy, M. & Stober, I.

Static vertical sections Hesse

Involved Institutions: TU Darmstadt & HLUG
Editor: Arndt, D. & Bär, K.

Fault zones

Involved Institutions: BGR, LIAG
Editor: Dittmann, J., Suchi, E.
Schulz et al. (2013): Geothermieatlas zur Darstellung möglicher Nutzungskonkurrenzen zwischen CCS und Tiefer Geothermie.
Endbericht, LIAG, Hannover, URL:
www.geotis.de/homepage/.../Endbericht_Geothermie_Atlas.pdf
Die Rolle von tiefreichenden Störungszonen bei der geothermischen Energienutzung.
Final report, LIAG, Hanover, URL:
www.geotis.de/homepage/.../StoerTief_Endbericht_LIAG.pdf

Salt structures in North Germany

Involved Institutions: BGR
Editor: Reinhold, K., Krull, P. & Kockel, F.
Reinhold et al. 2008: Salzstrukturen Norddeutschlands, Berlin/Hanover

Seismics in Baden-Wuerttemberg

Seismik 2D; © Regierungspräsidium Freiburg, LGRB

Other seismics (via WMS):

Seismik 2D; © Landesamt für Bergbau, Energie und Geologie, LBEG

Areas with potential for geothermal exploitation

Involved Institutions: LIAG
Editor: Agemar, T.
Schulz et al. (2009): Aufbau eines geothermischen Informationssystems für Deutschland.
Final report, LIAG, Hanover, URL:
www.geotis.de/homepage/.../GeotIS_Endbericht.pdf

Formation hydraulic conductivity (T/H) Northeast germany

Involved Institutions: LIAG
Editor: Kuder, J.
Kuder, J. (2012) Berechnung von T/H-Werten und Konstruktion von T/H-Zonen für geothermisch relevante Schichten in Nordostdeutschland. – Report, LIAG, Archive Number 0130617. Hannover, Germany.

Formation hydraulic conductivity (T/H) Molasse basin

Involved Institutions: FU Berlin, (LIAG)
Editor: Birner, J. (modified: Kuder, J.)
Birner, J. (2013): Hydrogeologisches Modell des Malmaquifers im Süddeutschen Molassebecken.
Dissertation FU Berlin, URL:
www.diss.fu‑berlin.de/diss/receive/FUDISS_thesis_000000094628

Atlas to visualise potential conflicts between CO2 storage (CCS) and deep geothermal energy

Involved Institutions: LIAG, BGR
Editor: Suchi, E.
Schulz et al. (2013): Geothermieatlas zur Darstellung möglicher Nutzungskonkurrenzen zwischen CCS und Tiefer Geothermie.
Endbericht, LIAG, Hannover, URL:
www.geotis.de/homepage/.../Endbericht_Geothermie_Atlas.pdf

Sandsteinfazies

Involved Institutions: TU Freiberg, Universität Göttingen, GTN
Map layers Editor
Toarc, Aalen, Bajoc Zimmermann, J. & Franz, M.
Schilfsandstein (Stuttgart-Formation) Nowak, K. & Franz, M.
Exter-Formation (Rhät) Barth, G. & Franz, M.
Franz, M., Wolfgramm, M., Barth, G., Nowak, K., Zimmermann, J., Budach, I., & Thorwart, K. (2015). Verbundprojekt: Identifikation hydraulisch geeigneter Bereiche innerhalb der mesozoischen Sandsteinaquifere in Norddeutschland. - Schlussbericht. 317 S., Technische Universität Freiberg, Freiberg, URL: www.geotis.de/homepage/.../Sandsteinfazies-Schlussbericht.pdf

Franz, M., Barth, G., Zimmermann, J., Budach, I., Nowak, N., Wolfgramm, M., 2018. Deep geothermal resources of the North German Basin: exploration examples of Mesozoic hydrothermal reservoirs.

Kilhams, B., Kukla, P. A., Mazur, S., McKie, T., Mijnlieff, H. F. & Van Ojik, K. (eds) Mesozoic Resource Potential in the Southern Permian Basin. Geological Society, London, Special Publications, 469, DOI: 10.1144/SP469.11

Zimmermann, J., Franz, M., Schaller, A., Wolfgramm, M., 2018. The Toarcian-Bajocian deltaic system in the North German Basin: subsurface mapping of ancient deltas – morphology, evolution and recent analogue. Sedimentology 65, 897–930, DOI: 10.1111/sed.12410

Concession areas

in Baden-Wuerttemberg: Regierungspräsidium Freiburg, LGRB
in Lower Saxony: Landesamt für Bergbau, Energie und Geologie, LBEG

3D-Models

NE-Model

Involved Institutions: LIAG & LUNG
Editor: Agemar, T., Breuckmann, S., Görne, S., Helms, M. & Tribbensee, K.
Schulz et al. (2009): Aufbau eines geothermischen Informationssystems für Deutschland.
Final report, LIAG, Hanover, URL:
www.geotis.de/homepage/.../GeotIS_Endbericht.pdf
Schulz et al. (2012): Aufbau eines Internet basierten Informationszentrums für geothermische Energienutzung.
Final report, LIAG, Hannover, URL:
www.geotis.de/homepage/.../GeotIS2_Endbericht.pdf

NW-Model

Involved Institutions: LIAG, LBEG
Editor: Agemar, T. & Tribbensee, K.
Schulz et al. (2012): Aufbau eines Internet basierten Informationszentrums für geothermische Energienutzung.
Final report, LIAG, Hannover, URL:
www.geotis.de/homepage/.../GeotIS2_Endbericht.pdf

Molasse-Model

Involved Institutions: LIAG, LfU, RPF & GBA
Editor: Agemar, T. & Tribbensee, K.

Schulz et al. (2009): Aufbau eines geothermischen Informationssystems für Deutschland.
Final report, LIAG, Hanover, URL:
www.geotis.de/homepage/.../GeotIS_Endbericht.pdf

Schulz et al. (2012): Aufbau eines Internet basierten Informationszentrums für geothermische Energienutzung.
Final report, LIAG, Hannover, URL:
www.geotis.de/homepage/.../GeotIS2_Endbericht.pdf

Agemar, T. & Tribbensee, K. (2017) GeotIS-Verbundmodell des Top-Malm im Bereich 1 des nördlichen Vorlandbeckens der Alpen. ZDGG, submitted.

Diepolder et al. (2015): GeoMol – Assessing subsurface potentials of the Alpine Foreland Basins for sustainable planning and use of natural resources – Project Report, 188 pp. (Augsburg, LfU).
GeoMol project page

The accuracy of the model is approx. 100 m for depth information. The presence of 3d seismic survey data in Eastern Bavaria should improve the accuracy in that area. In the very south of the molasse basin higher depths will possibly lead to less reliable values. The eastern Bavarian and upper Austrian part of the 3d model has been developed in the project GeoMol: http://www.geomol.eu.The other parts are based on cross sections and maps (notably the Upper Jurassic maps of the Geothermal Atlas of Bavaria and of the region Lake Constance / Upper Swabia) of the RPF and the LfU.

Hesse-Model

Involved Institutions: TU Darmstadt & HLUG
Editor: Arndt, D.
Arndt, D. (2012): Geologische Strukturmodellierung von Hessen zur Bestimmung von Geopotenzialen.
Dissertation TU Darmstadt, URL:
https://tuprints.ulb.tu-darmstadt.de/3082
Bär, K. M. (2012): Untersuchung der tiefengeothermischen Potenziale von Hessen.
Dissertation TU Darmstadt, URL:
https://tuprints.ulb.tu-darmstadt.de/3067/

GeoPower model Schleswig-Holstein

Involved Institutions: LLUR, GEUS, Aarhus Universitet & CAU Kiel
Editor: Hese, F.
R. Kirsch et al. (2015) Geopower.
Ed.: State Agency for Agriculture, Environment and Rural Areas (LLUR), Flintbek, 70 S.

Background maps

Topography / boundaries

DLM250/1000, GN250/1000, VG250; © 2006 BKG

Satellite images

Landsat 2000; © NASA

Terrain model

DGM 250; © 2001 BGR (AGeoBw, AdV and BKG)

Thematic maps

Statistical data of population density

Federal statistical Office of Germany

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