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Articles | Volume 16, issue 10
Articles | Volume 16, issue 10
https://doi.org/10.5194/se-16-1025-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-16-1025-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 10
Method article
 | 
08 Oct 2025
Method article |  | 08 Oct 2025

Computational modeling and analytical validation of singular geometric effects in fault data using a combinatorial approach

Michał P. Michalak, Janusz Morawiec, and Peter Menzel

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Cited articles

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Allmendinger, R. W., Cardozo, N., and Fisher, D. M.: Structural geology algorithms: Vectors and tensors, Cambridge University Press, 1–289, https://doi.org/10.1017/CBO9780511920202, 2011. 
Aydin, A.: Fractures, faults, and hydrocarbon entrapment, migration and flow, Mar. Pet. Geol., 17, 797–814, https://doi.org/10.1016/S0264-8172(00)00020-9, 2000. 
Aydin, O. and Caers, J. K.: Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework, Tectonophysics, 712–713, 101–124, https://doi.org/10.1016/j.tecto.2017.04.027, 2017. 
Bense, V. F., Gleeson, T., Loveless, S. E., Bour, O., and Scibek, J.: Fault zone hydrogeology, Earth-Sci. Rev., 127, 171–192, https://doi.org/10.1016/j.earscirev.2013.09.008, 2013. 
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This study analyzes geological faults using triangular surface data to model displaced horizons, considering scenarios with and without elevation uncertainties. Formal proofs and computational experiments show that, without elevation errors, identical dip directions occur. Even with uncertainties, the expected dip direction remains consistent. The findings offer insights for predicting fault geometry in data-sparse environments, improving fault modeling with imprecise elevation data.
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