Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6069-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-6069-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Dec 2017
Research article |
| 01 Dec 2017
Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies
Anne-Sophie Høyer
CORRESPONDING AUTHOR
Groundwater and Quaternary Geology Mapping Department, GEUS, Aarhus, 8000, Denmark
Groundwater and Quaternary Geology Mapping Department, GEUS, Aarhus, 8000, Denmark
Department of Civil, Environmental Engineering and Architecture (DICAAR), University of Cagliari, Cagliari, 09123, Italy
Thomas Mejer Hansen
Niels Bohr Institute, University of Copenhagen, Copenhagen, 2100, Denmark
Le Thanh Vu
I-GIS, Risskov, 8240, Denmark
Donald A. Keefer
Illinois State Geological Survey, Prairie Research Institute, University of Illinois, Champaign, Illinois 61820, USA
Flemming Jørgensen
Groundwater and Quaternary Geology Mapping Department, GEUS, Aarhus, 8000, Denmark
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Latest update: 14 Dec 2024
Short summary
We present a novel approach for 3-D geostatistical simulations. It includes practical strategies for the development of realistic 3-D training images and for incorporating the diverse geological and geophysical inputs together with their uncertainty levels (due to measurement inaccuracies and scale mismatch). Inputs consist of well logs, seismics, and an existing 3-D geomodel. The simulation domain (45 million voxels) coincides with the Miocene unit over 2810 km2 across the Danish–German border.
We present a novel approach for 3-D geostatistical simulations. It includes practical strategies...
