Abstract

GOMEZ-SANTAMARIA, Luisa; GOYES-PENAFIEL, Paul  and  AVELLANEDA-CACERES, William. A 3D geomodeling with scarce data in an open-source framework: a case study in the Llanos basin in Colombia. Bol. geol. [online]. 2026, vol.48, n.1, pp.65-76.  Epub Apr 23, 2026. ISSN 0120-0283.  https://doi.org/10.18273/revbol.v48nl-2026004.

3D geological models are representations of subsurface geology generated by integrating information from multiple data sources. These models play a crucial role in identifying areas with potential geological resources. The quality of geological models depends on data availability and interpolation algorithms. However, algorithms often struggle to represent subsurface properties accurately. Furthermore, 3D geomodeling is commonly performed using commercial software, thereby limiting research and development in this field. This paper proposes a framework that uses an open-source Python-based library and implements the potential-field interpolation method to address these issues. This framework enhances the geological sense and promotes interoperability. Furthermore, it enables the assessment of modeling uncertainty and ensures efficient performance, even in data scarcity scenarios. The framework was tested in a study area of the Llanos basin. We performed experiments to evaluate its accuracy, robustness, and interoperability. The results demonstrated that the potential-field interpolation method employed in the framework yields a representation with greater precision and geological realism than other algorithms. Regarding robustness, it was efficient up to 90 % data scarcity. Finally, we demonstrated the model's interoperability by integrating it with geophysical modeling software. The experiments showed that the proposed framework provides a more geologically meaningful approach to modeling, supports interoperability with diverse modeling algorithms, and facilitates uncertainty analysis. This open-source framework is validated by comparing results from the open-source Python-based libraries and commercial software. This demonstrates that equivalent results can be achieved using only open-source tools, reducing costs and fostering research development.

Keywords : Geological modeling; Open-source tools; Potential-field interpolation method; Interpolation algorithms; Uncertainty analysis; Geophysical modeling.

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