Abstract

Abstract. The contemporary stress state in the upper crust is of great interest for geotechnical applications and basic research alike. However, our knowledge of the crustal stress field from the data perspective is limited. For Germany basically two datasets are available: orientations of the maximum horizontal stress (SHmax) and the stress regime as part of the World Stress Map (WSM) database as well as a complementary compilation of stress magnitude data of Germany and adjacent regions. However, these datasets only provide pointwise, incomplete and heterogeneous information of the 3D stress tensor. Here, we present a geomechanical–numerical model that provides a continuous description of the contemporary 3D crustal stress state on a regional scale for Germany. The model covers an area of about 1000×1250 km2 and extends to a depth of 100 km containing seven units, with specific material properties (density and elastic rock properties) and laterally varying thicknesses: a sedimentary unit, four different units of the upper crust, the lower crust and the lithospheric mantle. The model is calibrated by the two datasets to achieve a best-fit regarding the SHmax orientations and the minimum horizontal stress magnitudes (Shmin). The modeled orientations of SHmax are almost entirely within the uncertainties of the WSM data used and the Shmin magnitudes fit to various datasets well. Only the SHmax magnitudes show locally significant deviations, primarily indicating values that are too low in the lower part of the model. The model is open for further refinements regarding model geometry, e.g., additional layers with laterally varying material properties, and incorporation of future stress measurements. In addition, it can provide the initial stress state for local geomechanical models with a higher resolution.

Highlights

  • Knowledge about the stress state in the upper crust is of great importance for many economic and scientific questions

  • Using a mean SHmax orientation avoids effects of data clustering which is often the case in the World Stress Map (WSM) database and it filters the data for a wavelength of the stress pattern that is representative of the resolution of the model

  • The model results are interpolated linearly on a plane at 5 km depth, and the nearest value to each grid point is chosen for the comparison with the mean WSM data

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Summary

Introduction

Knowledge about the stress state in the upper crust is of great importance for many economic and scientific questions. Some examples are wellbore stability (Bell, 2003; Kristiansen, 2004), operation and stimulation of hydrocarbon and geothermal reservoirs (Altmann et al, 2014; Azzola et al, 2019; Henk, 2009; Smart et al, 2014), slip and dilation tendency of existing faults and fractures (Hettema, 2020; Konstantinovskaya et al, 2012), underground mining (Brady and Brown, 2004) and deep tunneling (Diederichs et al, 2004) It plays a decisive role in the search for a disposal site for high-level radioactive waste, since it is crucial for the short and long-term safety of a possible repository (StandAG, 2017; Nagra, 2008; BGR, 2015).

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