Publication details.

Paper

Year:2022
Author(s):A. Hassanzadeh, E. Vázquez-Suñé, M. Corbella, R. Criollo
Title:An automatic geological 3D cross-section generator: Geopropy, an open-source library
Journal:ENVIRONMENTAL MODELLING & SOFTWARE
ISSN:1364-8152
Volume:149
Pages:
D.O.I.:10.1016/j.envsoft.2022.105309
Web:https://dx.doi.org/10.1016/j.envsoft.2022.105309
Abstract:© 2022 The AuthorsGeological modelling is an essential aspect of underground investigations, with cross-sections being one of the key aspects. This modelling can be done by experienced geologists or using mathematical methods. We present Geopropy, an open-source decision-making algorithm implemented in Python, that generates 3D cross-sections (the boreholes do not have to be aligned). It performs as an intelligent agent that simulates the steps taken by the geologist in the process of creating the cross-section, coupled with data-driven decisions. The algorithm detects zones with more than one possible outcome and, based on the level of complexity (or user preference), proceeds to automatic, semiautomatic or manual stages. Geopropy could be the basis of a new, simpler, more comprehensible way of looking at geological models in industry and academia while at the same time creating the potential for using novel machine learning algorithms in geological modelling.

Related staff

  • Rotman Alejandro Criollo manjarrez
  • Related departments

  • Oceanography and Global Change