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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Total article views: 2,856 (including HTML, PDF, and XML)
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- Coupled characterization of stratigraphic and geo-properties uncertainties – A conditional random field approach W. Gong et al. 10.1016/j.enggeo.2021.106348
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- Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo E. Pakyuz-Charrier et al. 10.1016/j.tecto.2018.09.005
- 3D Parametric Modeling of Complex Geological Structures for Geotechnical Engineering of Dam Foundation Based on T-Splines Y. Zhang et al. 10.1111/mice.12343
- Development of Principles and Method for Three-dimensional Geological Modeling T. NEMOTO et al. 10.6010/geoinformatics.30.4_181
- Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis J. Giraud et al. 10.1093/gji/ggz152
- Explicit-implicit-integrated 3-D geological modelling approach: A case study of the Xianyan Demolition Volcano (Fujian, China) J. Guo et al. 10.1016/j.tecto.2020.228648
- Topological analysis in Monte Carlo simulation for uncertainty propagation E. Pakyuz-Charrier et al. 10.5194/se-10-1663-2019
- Prognose und Bewertung von Karstrisiken am Tunnel Albabstieg C. Butscher et al. 10.1002/gete.201700018
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- Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization J. Giraud et al. 10.5194/se-10-193-2019
- Model Selection for Mineral Resource Assessment Considering Geological and Grade Uncertainties: Application of Multiple-Point Geostatistics and a Cluster Analysis to an Iron Deposit J. Hong & S. Oh 10.1007/s11053-021-09813-9
- Coupled characterization of stratigraphic and geo-properties uncertainties – A conditional random field approach W. Gong et al. 10.1016/j.enggeo.2021.106348
- 3D subsurface characterisation of the Belgian Continental Shelf: a new voxel modelling approach V. Hademenos et al. 10.1017/njg.2018.18
- Analyzing the heave of an entire city: Modeling of swelling processes in clay-sulfate rocks D. Schweizer et al. 10.1016/j.enggeo.2019.105259
- Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge A. Krajnovich et al. 10.5194/se-11-1457-2020
- 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
- Imaging the Subsurface: How Different Visualizations of Cross-sections Affect the Sense of Uncertainty A. Bang-Kittilsen & T. Midtbø 10.1007/s41651-020-00071-6
- Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework J. Giraud et al. 10.1190/geo2020-0263.1
- Three-dimensional landslide evolution model at the Yangtze River J. Wang et al. 10.1016/j.enggeo.2021.106275
- Informed Local Smoothing in 3D Implicit Geological Modeling J. von Harten et al. 10.3390/min11111281
- On the dynamic nature of hydrological similarity R. Loritz et al. 10.5194/hess-22-3663-2018
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Discussed (final revised paper)
Discussed (preprint)
Latest update: 07 Jun 2023
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...
