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

Michalak, Michał P.; Morawiec, Janusz; Menzel, Peter

doi:https://doi.org/10.5194/se-16-1025-2025

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

Data sets

Computational modeling and analytical validation of singular geometric effects in fault data using a combinatorial approach - Input and processed data Michał Michalak https://doi.org/10.5281/zenodo.13986509

Model code and software

michalmichalak997/3GeoCombine2: v. 1.0 - Initial release Michał Michalak https://doi.org/10.5281/zenodo.13974878

Short summary

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.