EGU22-11486
https://doi.org/10.5194/egusphere-egu22-11486
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Geopropy: An open source tool to generate 3D geological cross sections 

Ashkan Hassanzadeh1,2, Enric Vázquez-Suñé1, Mercè Corbella2, and Rotman Criollo3
Ashkan Hassanzadeh et al.
  • 1CSIC - Institute of Environmental Assessment and Water Research, IDAEA/CSIC, Barcelona, Spain (ashkan.hassanzadeh@gmail.com)
  • 2Universitat Autònoma de Barcelona (UAB), Departament de Geologia, Edificis C, 08193, Bellaterra, Barcelona, Spain
  • 3Mediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB). C/ Miquel Marquès, 21, 07190 Esporles - Illes Balears, Spain

Cross sections play a significant role in environmental and geological studies. In general, underground models  can be generated by experienced geologists or derived from mathematical-based geological data interpolation. In this work we present Geopropy, a hybrid knowledge-data driven tool that mimics the straightforward stages that a geologist follows to generate a geological cross-section, taking into account the available data but without using complex mathematical algorithms of interpolation. Geopropy separates the areas with one possible geological outcome from those with multiple possible geological scenarios based on the given hard data. The algorithm creates the cross section in the simple areas and in order to reach a unique outcome, the user is asked for decisions or more hard data in semi-automatic and manual stages based on the complexity of the cross section. The outputs are 3D shapefiles that are again checked  with the introduced hard data to avoid inconsistencies or possible personal biases. Geopropy is therefore an open source Python library support tool for geologists in explicit modelling that aims to reach simple, consistent and fast results.

How to cite: Hassanzadeh, A., Vázquez-Suñé, E., Corbella, M., and Criollo, R.: Geopropy: An open source tool to generate 3D geological cross sections , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11486, https://doi.org/10.5194/egusphere-egu22-11486, 2022.