Articles | Volume 8, issue 5
https://doi.org/10.5194/se-8-987-2017
https://doi.org/10.5194/se-8-987-2017
Method article
 | 
28 Sep 2017
Method article |  | 28 Sep 2017

Methods and uncertainty estimations of 3-D structural modelling in crystalline rocks: a case study

Raphael Schneeberger, Miguel de La Varga, Daniel Egli, Alfons Berger, Florian Kober, Florian Wellmann, and Marco Herwegh

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Cited articles

Abrecht, J.: Geologic units of the Aar massif and their pre-Alpine rock associations: a critical review, Schweizerische Mineral. und Petrogr. Mitteilungen, 74, 5–27, https://doi.org/10.5169/seals-56328, 1994.
Balaban, I. J.: An optimal algorithm for finding segments intersections, in: Proceedings of the eleventh annual symposium on Computational geometry – SCG '95, pp. 211–219, ACM Press, New York, New York, USA, 1995.
Baumberger, R.: Quantification of lineaments: Link between internal 3D structure and surface evolution of the Hasli valley (Aar massif, Central Alps, Switzerland), PhD thesis, University of Bern, Switzerland, 2015.
Belgrano, T. M., Herwegh, M., and Berger, A.: Inherited structural controls on fault geometry, architecture and hydrothermal activity?: an example from Grimsel Pass, Switzerland, Swiss J. Geosci., 109, 345–364, https://doi.org/10.1007/s00015-016-0212-9, 2016.
Bense, F. A., Wemmer, K., Löbens, S., and Siegesmund, S.: Fault gouge analyses: K-Ar illite dating, clay mineralogy and tectonic significance – a study from the Sierras Pampeanas, Argentina, Int. J. Earth Sci., 103, 189–218, https://doi.org/10.1007/s00531-013-0956-7, 2014.
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Short summary
Structural 3-D modelling has become a widely used technique within applied projects. We performed a typical modelling workflow for a study site with the occurrence of an underground facility. This exceptional setting enabled us to test the surface-based extrapolation of faults with the mapped faults underground. We estimated the extrapolation-related uncertainty with probabilistic 2-D interpolation. This research was conducted to improve structural 3-D modelling in less-constrained areas.