Regional integration and 3D modeling of airborne geophysical data: Map of Geophysical Anomalies of Colombia for mineral resources, 2020 version

Authors

  • Manuel Puentes Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Adriana Robayo Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Ismael Moyano Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Eduardo Henrique Consultant, Sao Paulo, Brasil
  • Marcela Lara Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Hernán Arias Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Diana Ospina Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Óscar Rojas Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Ernesto Gómez Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Sergio Torrado Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia
  • Gloria Prieto Rincón Servicio Geológico Colombiano, Dirección de Recursos Minerales, Grupo de Investigación en Geoquímica y Geofísica Aplicada, Bogotá, Colombia

DOI:

https://doi.org/10.32685/0120-1425/bol.geol.48.Spl.1.2021.586

Keywords:

Magnetic anomaly, magnetometry, gamma spectrometry, total-field magnetic anomaly (TFMA), analytic signal (AS), 3D inversion, 3D modeling

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How to Cite

Puentes, M., Robayo, A., Moyano, I., Henrique, E., Lara, M., Arias, H., … Prieto Rincón, G. (2021). Regional integration and 3D modeling of airborne geophysical data: Map of Geophysical Anomalies of Colombia for mineral resources, 2020 version. Boletín Geológico, 48(Spl.1), 11–24. https://doi.org/10.32685/0120-1425/bol.geol.48.Spl.1.2021.586

Published

2021-10-15

Abstract

The Map of Geophysical Anomalies of Colombia for mineral resources, MAGC 2020 version compiles the geophysical information acquired, processed and interpreted by the Servicio Geológico Colombiano (SGC) since 2013. This information was collected via airborne platforms (aircrafts) using magnetometry and gamma spectrometry. This version covers approximately 547 960 km2 of the national territory in the Andean (North and Central), Eastern (Eastern Plains and Amazon) and Caribbean zones (Perijá mountain range). This information consists of 17 blocks of geoscientific interest, covered by flight lines separated by 500 and 1000
m, for a total of more than 907 566 linear km of airborne information, acquired at a nominal altitude of 100 m above the ground, with a sampling resolution that was not previously available at this scale and coverage. This document presents the methodology for compiling, processing and representing the thematic coverage included in MAGC 2020: Map of Total field magnetic anomaly (TFMA), Map of the analytic signal (AS) and radiometric ternary map of the distribution of the relative concentrations of uranium, thorium and potassium. Furthermore, the work identifies 1079 magnetometric anomalies of interest, which were subsequently analyzed and modeled in the Map of magnetic sources modeled from magnetization vector inversion, which contains a total of 1297 magnetic bodies interpreted from these anomalies. Integration of available geological and metallogenic information with each of these bodies allow the suggestion of possible geological sources and possible exploration targets. The objectives of this study were to generate and integrate geophysical information to identify new areas of interest with regards to potential mineral resources, and to generate new geoscientific knowledge about Colombia for land-use planning.

References

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