Articles | Volume 8, issue 11
https://doi.org/10.5194/gmd-8-3681-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3681-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
12 Nov 2015
Model description paper |
| 12 Nov 2015
GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models
T. Fischer
CORRESPONDING AUTHOR
Helmholtz-Centre for Environmental Research – UFZ Leipzig, Department Environmental Informatics, Permoserstr. 15, 04318 Leipzig, Germany
D. Naumov
Hochschule für Technik, Wirtschaft und Kultur Leipzig, Leipzig, Germany
S. Sattler
LBEG (State Authority for Mining, Energy and Geology), Hannover, Germany
formerly at: Thüringer Landesanstalt für Umwelt und Geologie, Jena, Germany
O. Kolditz
Helmholtz-Centre for Environmental Research – UFZ Leipzig, Department Environmental Informatics, Permoserstr. 15, 04318 Leipzig, Germany
Technische Universität Dresden, Applied Environmental Systems Analysis, Dresden, Germany
M. Walther
Helmholtz-Centre for Environmental Research – UFZ Leipzig, Department Environmental Informatics, Permoserstr. 15, 04318 Leipzig, Germany
Technische Universität Dresden, Contaminant Hydrology, Dresden, Germany
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Cited
15 citations as recorded by crossref.
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- Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions M. Jing et al. 10.5194/hess-23-171-2019
- Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS) M. Jing et al. 10.5194/gmd-11-1989-2018
- Streamline-based simulation in highly heterogeneous and anisotropic petroleum reservoirs using a non-orthodox MPFA method and an adaptive timestep strategy with unstructured meshes J. Teixeira et al. 10.1016/j.petrol.2021.108369
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al. 10.1016/j.advwatres.2021.103849
- Insights on slab-driven mantle flow from advances in three-dimensional modelling M. Jadamec 10.1016/j.jog.2016.07.004
- The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles J. Bathmann et al. 10.1016/j.ecolmodel.2020.108973
- Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling M. Aliyu & H. Chen 10.1016/j.renene.2017.05.032
- ER3D: a structural and geophysical 3-D model of central Emilia-Romagna (northern Italy) for numerical simulation of earthquake ground motion P. Klin et al. 10.5194/se-10-931-2019
- Unstructured-grid approach to develop high-fidelity groundwater model to understand groundwater flow and storage responses to excessive groundwater withdrawals in the Southern Hills aquifer system in southeastern Louisiana (USA) Y. Chen et al. 10.1016/j.ejrh.2023.101342
- Energy storage in the geological subsurface: dimensioning, risk analysis and spatial planning: the ANGUS+ project A. Kabuth et al. 10.1007/s12665-016-6319-5
- Complex unstructured-grid groundwater modeling using centroidal Voronoi tessellation refinement and curve fitting A. Mohamed et al. 10.1016/j.jhydrol.2024.131394
- Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) Z. Yin et al. 10.5194/gmd-13-651-2020
- A new numerical benchmark of a freshwater lens L. Stoeckl et al. 10.1002/2015WR017989
- Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin M. Jing et al. 10.5194/hess-24-1511-2020
15 citations as recorded by crossref.
- Converting heterogeneous complex geological models to consistent finite element models: methods, development, and application to deep geothermal reservoir operation B. Wang & S. Bauer 10.1007/s12665-016-6138-8
- Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions M. Jing et al. 10.5194/hess-23-171-2019
- Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS) M. Jing et al. 10.5194/gmd-11-1989-2018
- Streamline-based simulation in highly heterogeneous and anisotropic petroleum reservoirs using a non-orthodox MPFA method and an adaptive timestep strategy with unstructured meshes J. Teixeira et al. 10.1016/j.petrol.2021.108369
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al. 10.1016/j.advwatres.2021.103849
- Insights on slab-driven mantle flow from advances in three-dimensional modelling M. Jadamec 10.1016/j.jog.2016.07.004
- The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles J. Bathmann et al. 10.1016/j.ecolmodel.2020.108973
- Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling M. Aliyu & H. Chen 10.1016/j.renene.2017.05.032
- ER3D: a structural and geophysical 3-D model of central Emilia-Romagna (northern Italy) for numerical simulation of earthquake ground motion P. Klin et al. 10.5194/se-10-931-2019
- Unstructured-grid approach to develop high-fidelity groundwater model to understand groundwater flow and storage responses to excessive groundwater withdrawals in the Southern Hills aquifer system in southeastern Louisiana (USA) Y. Chen et al. 10.1016/j.ejrh.2023.101342
- Energy storage in the geological subsurface: dimensioning, risk analysis and spatial planning: the ANGUS+ project A. Kabuth et al. 10.1007/s12665-016-6319-5
- Complex unstructured-grid groundwater modeling using centroidal Voronoi tessellation refinement and curve fitting A. Mohamed et al. 10.1016/j.jhydrol.2024.131394
- Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) Z. Yin et al. 10.5194/gmd-13-651-2020
- A new numerical benchmark of a freshwater lens L. Stoeckl et al. 10.1002/2015WR017989
- Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin M. Jing et al. 10.5194/hess-24-1511-2020
Saved (final revised paper)
Latest update: 08 Nov 2024
Short summary
We present a workflow to convert geological models into the open-source VTU format for usage in numerical simulation models. Tackling relevant scientific questions or engineering tasks often involves multidisciplinary approaches. Conversion workflows are needed between the diverse tools of the various disciplines. Our approach offers an open-source, platform-independent, robust, and comprehensible method that is potentially useful for a multitude of similar environmental studies.
We present a workflow to convert geological models into the open-source VTU format for usage in...
