A multi-stage 3-D stress field modelling approach exemplified in the Bavarian Molasse Basin

Ziegler, Moritz O.; Heidbach, Oliver; Reinecker, John; Przybycin, Anna M.; Scheck-Wenderoth, Magdalena

doi:https://doi.org/10.5194/se-7-1365-2016

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.

https://doi.org/10.5194/se-7-1365-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 7, issue 5

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, Oliver Heidbach, John Reinecker, Anna M. Przybycin, and Magdalena Scheck-Wenderoth

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Final revised paper (published on 21 Sep 2016)
Preprint (discussion started on 27 Jun 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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SC1: 'Review of paper by Ziegler et al. A multi stage 3D stress field modelling approach exemplified in the Bavarian Molasse Basin', francois cornet, 19 Jul 2016
- AC3: 'Reply to reviewer/short comment', Moritz Ziegler, 01 Sep 2016
RC1: 'Review of paper by Ziegler et al. A multi stage 3D stress field modelling approach exemplified in the Bavarian Molasse Basin', Francois Cornet, 20 Jul 2016
- AC1: 'Reply to reviewer', Moritz Ziegler, 01 Sep 2016
RC2: 'Review, Ziegler et al. manuscript "A multi-stage 3D stress field modelling approach...."', Anonymous Referee #2, 01 Aug 2016
- AC2: 'Reply to reviewer', Moritz Ziegler, 01 Sep 2016

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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.