Articles | Volume 7, issue 5
https://doi.org/10.5194/se-7-1365-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-1365-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Sep 2016
Research article |
| 21 Sep 2016
A multi-stage 3-D stress field modelling approach exemplified in the Bavarian Molasse Basin
Moritz O. Ziegler
CORRESPONDING AUTHOR
Helmholtz Centre Potsdam, German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Oliver Heidbach
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
John Reinecker
GeoThermal Engineering GmbH, Baischstrasse 8, 76133 Karlsruhe, Germany
Anna M. Przybycin
Bundesanstalt für Gewässerkunde, Am Mainzer Tor 1, 56068 Koblenz, Germany
Magdalena Scheck-Wenderoth
Helmholtz Centre Potsdam, German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
RWTH Aachen University, Department of Geology, Geochemistry of Petroleum and Coal, Templergraben 55, 52056 Aachen, Germany
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Cited
33 citations as recorded by crossref.
- Modelling principal stress orientations in the Arabian Plate using plate velocities S. Peña Clavijo et al. 10.1144/SP546-2022-327
- Building a 3D Geomechanical Model for the Fitzroy Trough O. Gaede et al. 10.1080/22020586.2019.12073133
- 3D thermo‐hydro‐mechanical simulation of the behaviour of a naturally fractured petrothermal reservoir in deep Upper Jurassic carbonates of the Bavarian Molasse Basin – Case study Geretsried E. Meneses Rioseco et al. 10.1002/geot.202100083
- Stress distribution models in layered, viscoelastic sedimentary basins under tectonic and glacial loads M. Trzeciak et al. 10.1093/gji/ggz469
- Uncertainty assessment of 3D geological models based on spatial diffusion and merging model X. Nie et al. 10.1515/geo-2022-0456
- Control of the stress field on shallow seafloor hydrothermal paths: A case study of the TAG hydrothermal field M. Wang et al. 10.1007/s13131-022-2003-7
- The World Stress Map database release 2016: Crustal stress pattern across scales O. Heidbach et al. 10.1016/j.tecto.2018.07.007
- Increasing accuracy of 3-D geomechanical-numerical models M. Ziegler & O. Heidbach 10.1093/gji/ggae096
- The in situ stress field and microscale controlling factors in the Ordos Basin, central China J. Liu et al. 10.1016/j.ijrmms.2020.104482
- Genetic mechanism of transfer zones in rift basins: Insights from geomechanical models J. Liu et al. 10.1130/B36151.1
- A normal-faulting stress regime in the Bavarian Foreland Molasse Basin? New evidence from detailed analysis of leak-off and formation integrity tests in the greater Munich area, SE-Germany M. Drews et al. 10.1016/j.tecto.2019.02.011
- The present-day stress field of Australia M. Rajabi et al. 10.1016/j.earscirev.2017.04.003
- Stress state at faults: the influence of rock stiffness contrast, stress orientation, and ratio M. Ziegler et al. 10.5194/se-15-1047-2024
- 3D crustal stress state of Germany according to a data-calibrated geomechanical model S. Ahlers et al. 10.5194/se-12-1777-2021
- Rock Properties and Modelled Stress State Uncertainties: A Study of Variability and Dependence M. Ziegler 10.1007/s00603-022-02879-8
- Bayesian Quantification and Reduction of Uncertainties in 3D Geomechanical‐Numerical Models M. Ziegler & O. Heidbach 10.1029/2022JB024855
- Pressure transient analysis to investigate a coupled fracture corridor and a fault damage zone causing an early thermal breakthrough in the North Alpine Foreland Basin M. Fadel et al. 10.1016/j.geoen.2023.212072
- Prediction of the present-day stress field in the Australian continental crust using 3D geomechanical–numerical models M. Rajabi et al. 10.1080/08120099.2017.1294109
- Predictability and controlling factors of overpressure in the North Alpine Foreland Basin, SE Germany: an interdisciplinary post-drill analysis of the Geretsried GEN-1 deep geothermal well M. Drews et al. 10.1186/s40517-020-00175-8
- An open-access stress magnitude database for Germany and adjacent regions S. Morawietz et al. 10.1186/s40517-020-00178-5
- Automatic Calibration of a Geomechanical Model from Sparse Data for Estimating Stress in Deep Geological Formations O. Andersen et al. 10.2118/204006-PA
- Locating Geothermal Resources: Insights from 3D Stress and Flow Models at the Upper Rhine Graben Scale A. Armandine Les Landes et al. 10.1155/2019/8494539
- The crustal stress field of Germany: a refined prediction S. Ahlers et al. 10.1186/s40517-022-00222-6
- Disequilibrium compaction overpressure in shales of the Bavarian Foreland Molasse Basin: Results and geographical distribution from velocity-based analyses M. Drews et al. 10.1016/j.marpetgeo.2018.02.017
- Updated stress dataset of the Circum-Pannonian region: Implications for regional tectonics and geo-energy applications E. Békési et al. 10.1016/j.tecto.2023.229860
- Geological controls on geothermal resources for power generation E. Jolie et al. 10.1038/s43017-021-00154-y
- RETRACTED ARTICLE: Predictability and controlling factors of overpressure in the North Alpine Foreland Basin, SE Germany: an interdisciplinary post-drill analysis of the Geretsried GEN-1 deep geothermal well M. Drews et al. 10.1186/s40517-019-0121-z
- Structural controls on the location of hydrothermal activity at the inside corner revealed by stress state M. Chen et al. 10.1016/j.oregeorev.2024.105938
- The 3D stress state from geomechanical–numerical modelling and its uncertainties: a case study in the Bavarian Molasse Basin M. Ziegler & O. Heidbach 10.1186/s40517-020-00162-z
- Overpressure, vertical stress, compaction and horizontal loading along the North Alpine Thrust Front, SE Germany M. Drews & F. Duschl 10.1016/j.marpetgeo.2022.105806
- Can we estimate far-field stress using the mean of local stresses? An examination based on numerical simulations K. Gao et al. 10.1016/j.compgeo.2019.103188
- 3D in situ stress state modelling and fault reactivation risk exemplified in the Ruhr region (Germany) M. Kruszewski et al. 10.1016/j.gete.2022.100386
- Recent advances in characterizing the crustal stress field and future applications of stress data: perspectives from North America J. Lundstern 10.1144/SP546-2023-195
33 citations as recorded by crossref.
- Modelling principal stress orientations in the Arabian Plate using plate velocities S. Peña Clavijo et al. 10.1144/SP546-2022-327
- Building a 3D Geomechanical Model for the Fitzroy Trough O. Gaede et al. 10.1080/22020586.2019.12073133
- 3D thermo‐hydro‐mechanical simulation of the behaviour of a naturally fractured petrothermal reservoir in deep Upper Jurassic carbonates of the Bavarian Molasse Basin – Case study Geretsried E. Meneses Rioseco et al. 10.1002/geot.202100083
- Stress distribution models in layered, viscoelastic sedimentary basins under tectonic and glacial loads M. Trzeciak et al. 10.1093/gji/ggz469
- Uncertainty assessment of 3D geological models based on spatial diffusion and merging model X. Nie et al. 10.1515/geo-2022-0456
- Control of the stress field on shallow seafloor hydrothermal paths: A case study of the TAG hydrothermal field M. Wang et al. 10.1007/s13131-022-2003-7
- The World Stress Map database release 2016: Crustal stress pattern across scales O. Heidbach et al. 10.1016/j.tecto.2018.07.007
- Increasing accuracy of 3-D geomechanical-numerical models M. Ziegler & O. Heidbach 10.1093/gji/ggae096
- The in situ stress field and microscale controlling factors in the Ordos Basin, central China J. Liu et al. 10.1016/j.ijrmms.2020.104482
- Genetic mechanism of transfer zones in rift basins: Insights from geomechanical models J. Liu et al. 10.1130/B36151.1
- A normal-faulting stress regime in the Bavarian Foreland Molasse Basin? New evidence from detailed analysis of leak-off and formation integrity tests in the greater Munich area, SE-Germany M. Drews et al. 10.1016/j.tecto.2019.02.011
- The present-day stress field of Australia M. Rajabi et al. 10.1016/j.earscirev.2017.04.003
- Stress state at faults: the influence of rock stiffness contrast, stress orientation, and ratio M. Ziegler et al. 10.5194/se-15-1047-2024
- 3D crustal stress state of Germany according to a data-calibrated geomechanical model S. Ahlers et al. 10.5194/se-12-1777-2021
- Rock Properties and Modelled Stress State Uncertainties: A Study of Variability and Dependence M. Ziegler 10.1007/s00603-022-02879-8
- Bayesian Quantification and Reduction of Uncertainties in 3D Geomechanical‐Numerical Models M. Ziegler & O. Heidbach 10.1029/2022JB024855
- Pressure transient analysis to investigate a coupled fracture corridor and a fault damage zone causing an early thermal breakthrough in the North Alpine Foreland Basin M. Fadel et al. 10.1016/j.geoen.2023.212072
- Prediction of the present-day stress field in the Australian continental crust using 3D geomechanical–numerical models M. Rajabi et al. 10.1080/08120099.2017.1294109
- Predictability and controlling factors of overpressure in the North Alpine Foreland Basin, SE Germany: an interdisciplinary post-drill analysis of the Geretsried GEN-1 deep geothermal well M. Drews et al. 10.1186/s40517-020-00175-8
- An open-access stress magnitude database for Germany and adjacent regions S. Morawietz et al. 10.1186/s40517-020-00178-5
- Automatic Calibration of a Geomechanical Model from Sparse Data for Estimating Stress in Deep Geological Formations O. Andersen et al. 10.2118/204006-PA
- Locating Geothermal Resources: Insights from 3D Stress and Flow Models at the Upper Rhine Graben Scale A. Armandine Les Landes et al. 10.1155/2019/8494539
- The crustal stress field of Germany: a refined prediction S. Ahlers et al. 10.1186/s40517-022-00222-6
- Disequilibrium compaction overpressure in shales of the Bavarian Foreland Molasse Basin: Results and geographical distribution from velocity-based analyses M. Drews et al. 10.1016/j.marpetgeo.2018.02.017
- Updated stress dataset of the Circum-Pannonian region: Implications for regional tectonics and geo-energy applications E. Békési et al. 10.1016/j.tecto.2023.229860
- Geological controls on geothermal resources for power generation E. Jolie et al. 10.1038/s43017-021-00154-y
- RETRACTED ARTICLE: Predictability and controlling factors of overpressure in the North Alpine Foreland Basin, SE Germany: an interdisciplinary post-drill analysis of the Geretsried GEN-1 deep geothermal well M. Drews et al. 10.1186/s40517-019-0121-z
- Structural controls on the location of hydrothermal activity at the inside corner revealed by stress state M. Chen et al. 10.1016/j.oregeorev.2024.105938
- The 3D stress state from geomechanical–numerical modelling and its uncertainties: a case study in the Bavarian Molasse Basin M. Ziegler & O. Heidbach 10.1186/s40517-020-00162-z
- Overpressure, vertical stress, compaction and horizontal loading along the North Alpine Thrust Front, SE Germany M. Drews & F. Duschl 10.1016/j.marpetgeo.2022.105806
- Can we estimate far-field stress using the mean of local stresses? An examination based on numerical simulations K. Gao et al. 10.1016/j.compgeo.2019.103188
- 3D in situ stress state modelling and fault reactivation risk exemplified in the Ruhr region (Germany) M. Kruszewski et al. 10.1016/j.gete.2022.100386
- Recent advances in characterizing the crustal stress field and future applications of stress data: perspectives from North America J. Lundstern 10.1144/SP546-2023-195
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Short summary
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.
Subsurface engineering relies on sparsely distributed data points of the stress state of the...
