Articles | Volume 8, issue 2
https://doi.org/10.5194/se-8-515-2017
https://doi.org/10.5194/se-8-515-2017
Research article
 | 
13 Apr 2017
Research article |  | 13 Apr 2017

Uncertainty assessment in 3-D geological models of increasing complexity

Daniel Schweizer, Philipp Blum, and Christoph Butscher

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Cited articles

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Anagnostou, G., Pimentel, E., and Serafeimidis, K.: Swelling of sulphatic claystones – some fundamental questions and their practical relevance, Geomech. Tunn., 3, 567–572, https://doi.org/10.1002/geot.201000033, 2010.
Bárdossy, G. and Fodor, J.: Traditional and New Ways to Handle Uncertainty in Geology, Nat. Resour. Res., 10, 179–187, https://doi.org/10.1023/A:1012513107364, 2001.
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Bistacchi, A., Massironi, M., Superchi, L., Zorzi, L., Francese, R., Giorgi, M., Chistolini, F., and Genevois, R.: A 3-D Geological Model of the 1963 Vajont Landslide, Ital. J. Eng. Geol. Environ., 2013, 531–539, https://doi.org/10.4408/IJEGE.2013-06.B-51, 2013.
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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.