Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5485-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5485-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics
Adrian A. S. Barfod
CORRESPONDING AUTHOR
Department of Groundwater and Quaternary Geological Mapping,
Geological Survey of Denmark & Greenland (GEUS), C.F. Møllers Allé
8, 8000 Aarhus C, Denmark
Hydrogeophysics Group, Department of
Geoscience, Aarhus University, C.F. Møllers Allé 4, 8000 Aarhus C,
Denmark
Troels N. Vilhelmsen
Hydrogeophysics Group, Department of
Geoscience, Aarhus University, C.F. Møllers Allé 4, 8000 Aarhus C,
Denmark
Flemming Jørgensen
Department of Groundwater and Quaternary Geological Mapping,
Geological Survey of Denmark & Greenland (GEUS), C.F. Møllers Allé
8, 8000 Aarhus C, Denmark
Anders V. Christiansen
Hydrogeophysics Group, Department of
Geoscience, Aarhus University, C.F. Møllers Allé 4, 8000 Aarhus C,
Denmark
Anne-Sophie Høyer
Department of Groundwater and Quaternary Geological Mapping,
Geological Survey of Denmark & Greenland (GEUS), C.F. Møllers Allé
8, 8000 Aarhus C, Denmark
Julien Straubhaar
Centre d'Hydrogéologie et de Géothermie (CHYN), Université
de Neuchâtel, Neuchâtel, Switzerland
Ingelise Møller
Department of Groundwater and Quaternary Geological Mapping,
Geological Survey of Denmark & Greenland (GEUS), C.F. Møllers Allé
8, 8000 Aarhus C, Denmark
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Short summary
The focus of this study is on the uncertainty related to using multiple-point statistics (MPS) for stochastic modeling of the upper 200 m of the subsurface. The main research goal is to showcase how MPS methods can be used on real-world hydrogeophysical data and show how the uncertainty related to changing the underlying MPS setup propagates into the finalized 3-D subsurface models.
The focus of this study is on the uncertainty related to using multiple-point statistics (MPS)...