Articles | Volume 8, issue 2
https://doi.org/10.5194/se-8-515-2017
© 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/se-8-515-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Apr 2017
Research article |
| 13 Apr 2017
Uncertainty assessment in 3-D geological models of increasing complexity
Daniel Schweizer
CORRESPONDING AUTHOR
Karlsruhe Institute of Technology (KIT), Institute for Applied Geosciences (AGW), Kaiserstr. 12, 76131 Karlsruhe, Germany
Philipp Blum
Karlsruhe Institute of Technology (KIT), Institute for Applied Geosciences (AGW), Kaiserstr. 12, 76131 Karlsruhe, Germany
Christoph Butscher
Karlsruhe Institute of Technology (KIT), Institute for Applied Geosciences (AGW), Kaiserstr. 12, 76131 Karlsruhe, Germany
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- Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations F. Santibañez et al. 10.1007/s11004-018-09777-2
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Discussed (final revised paper)
Discussed (preprint)
Latest update: 03 Nov 2024
Short summary
Any 3-D geological model is subject to uncertainty. We applied the concept of information entropy in order to visualize and quantify changes in uncertainty between geological models based on different types of geological input data. Furthermore, we propose two measures, the city-block and the Jaccard distance, to directly compare dissimilarities between models. The presented approach helps to locate areas of uncertainty within the model domain and quantify model improvements due to added data.
Any 3-D geological model is subject to uncertainty. We applied the concept of information...
