Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3351-2018
© 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-22-3351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods
Adrian A. S. Barfod
CORRESPONDING AUTHOR
Department of Groundwater and Quaternary Geology Mapping, Geological
Survey of Denmark and 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
Ingelise Møller
Department of Groundwater and Quaternary Geology Mapping, Geological
Survey of Denmark and 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 Geology Mapping, Geological
Survey of Denmark and Greenland (GEUS), C.F. Møllers Allé 8, 8000
Aarhus C, Denmark
Júlio Hoffimann
Stanford Center for Reservoir Forecasting, School of Earth, Energy
& Environmental Sciences, Stanford University, Green Earth Sciences, 367
Panama St, Stanford, CA 94305, USA
Julien Straubhaar
Centre d'Hydrogéologie et de Géothermie (CHYN), Université
de Neuchâtel, Switzerland
Jef Caers
Stanford Center for Reservoir Forecasting, School of Earth, Energy
& Environmental Sciences, Stanford University, Green Earth Sciences, 367
Panama St, Stanford, CA 94305, USA
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Zhen Yin, Chen Zuo, Emma J. MacKie, and Jef Caers
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We have developed a towed magnetic gradiometer system for rapid acquisition of magnetic and magnetic gradient maps. This high-resolution system is flexible and has applications to utility detection, archaeology, unexploded ordnance, or any other applications where high-resolution maps of the magnetic field or gradient are required. Processing of the data has been simplified as much as possible to facilitate rapid results and interpretations.
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We present and compare different geostatistical methods for underglacial bedrock interpolation. Variogram-based interpolations are compared with a multipoint statistics approach on both test cases and real glaciers. Using the modeled bedrock, the ice volume for the Scex Rouge and Tsanfleuron glaciers (Swiss Alps) was estimated to be 113.9 ± 1.6 million cubic meters. Complex karstic geomorphological features are reproduced and can be used to improve the precision of underglacial flow estimation.
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Short summary
Three-dimensional geological models are important to securing and managing groundwater. Such models describe the geological architecture, which is used for modeling the flow of groundwater. Common geological modeling approaches result in one model, which does not quantify the architectural uncertainty of the geology.
We present a comparison of three different state-of-the-art stochastic multiple-point statistical methods for quantifying the geological uncertainty using real-world datasets.
Three-dimensional geological models are important to securing and managing groundwater. Such...