A three-dimensional lithospheric-scale thermal model of Germany
Denis Anikiev
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, Department Geosystems,
Section Basin Modelling, Potsdam, Germany
Adrian Lechel
GFZ German Research Centre for Geosciences, Department Geosystems,
Section Basin Modelling, Potsdam, Germany
Technical University of Berlin, Department Geotechnology, Berlin,
Germany
Maria Laura Gomez Dacal
GFZ German Research Centre for Geosciences, Department Geosystems,
Section Basin Modelling, Potsdam, Germany
Judith Bott
GFZ German Research Centre for Geosciences, Department Geosystems,
Section Basin Modelling, Potsdam, Germany
Mauro Cacace
GFZ German Research Centre for Geosciences, Department Geosystems,
Section Basin Modelling, Potsdam, Germany
Magdalena Scheck-Wenderoth
GFZ German Research Centre for Geosciences, Department Geosystems,
Section Basin Modelling, Potsdam, Germany
RWTH Aachen University, Faculty of Georesources and Material
Engineering, Aachen, Germany
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Knowledge about the stress state in the upper crust is of great importance for many economic and scientific questions. However, our knowledge in Germany is limited since available datasets only provide pointwise, incomplete and heterogeneous information. We present the first 3D geomechanical model that provides a continuous description of the contemporary crustal stress state for Germany. The model is calibrated by the orientation of the maximum horizontal stress and stress magnitudes.
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Mauro Cacace and Antoine B. Jacquey
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Judith Sippel, Christian Meeßen, Mauro Cacace, James Mechie, Stewart Fishwick, Christian Heine, Magdalena Scheck-Wenderoth, and Manfred R. Strecker
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The Kenya Rift is a zone along which the African continental plate is stretched as evidenced by strong earthquake and volcanic activity. We want to understand the controlling factors of past and future tectonic deformation; hence, we assess the structural and strength configuration of the rift system at the present-day. Data-driven 3-D numerical models show how the inherited composition of the crust and a thermal anomaly in the deep mantle interact to form localised zones of tectonic weakness.
Moritz O. Ziegler, Oliver Heidbach, John Reinecker, Anna M. Przybycin, and Magdalena Scheck-Wenderoth
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Subsurface engineering relies on sparsely distributed data points of the stress state of the earth's crust. 3D geomechanical--numerical modelling is applied to estimate the stress state in the entire volume of a large area. We present a multi-stage approach of differently sized models which provide the stress state in an area of interest derived from few and widely scattered data records. Furthermore we demonstrate the changes in reliability of the model depending on different input parameters.
P. Klitzke, J. I. Faleide, M. Scheck-Wenderoth, and J. Sippel
Solid Earth, 6, 153–172, https://doi.org/10.5194/se-6-153-2015, https://doi.org/10.5194/se-6-153-2015, 2015
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We introduce a regional 3-D structural model of the Barents Sea and Kara Sea region which is the first to combine information on five sedimentary units and the crystalline crust as well as the configuration of the lithospheric mantle. By relating the shallow and deep structures for certain tectonic subdomains, we shed new light on possible causative basin-forming mechanisms that we discuss.
Y. Cherubini, M. Cacace, M. Scheck-Wenderoth, and V. Noack
Geoth. Energ. Sci., 2, 1–20, https://doi.org/10.5194/gtes-2-1-2014, https://doi.org/10.5194/gtes-2-1-2014, 2014
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Short summary
We have developed a first Germany-wide 3D data-based density and temperature model integrating geoscientific observations and physical processes. The model can serve as a reference for local detailed studies dealing with temperature, pressure, stress, subsidence and sedimentation. Our results help to improve subsurface utilization concepts, reveal current geomechanical conditions crucial for hazard assessment and gather information on viable resources such groundwater and deep geothermal energy.
We have developed a first Germany-wide 3D data-based density and temperature model integrating...