Multidisciplinary petro-geo-thermochronological approach to ore deposit exploration

Autor: Mauricio A. Bermúdez, Carlos Zuluaga, Cindy Urueña, Sergio Amaya, Matthias Bernet, Alejandro Piraquive, Nicolás Villamizar, Julián Andrés López-Isaza
Přispěvatelé: Institut des Sciences de la Terre (ISTerre), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Universidad Nacional de Colombia [Bogotà] (UNAL)
Rok vydání: 2019
Předmět:
Zdroj: Ore Geology Reviews
Ore Geology Reviews, Elsevier, 2019, 112, pp.103017-. ⟨10.1016/j.oregeorev.2019.103017⟩
Ore Geology Reviews, 2019, 112, pp.103017-. ⟨10.1016/j.oregeorev.2019.103017⟩
ISSN: 0169-1368
DOI: 10.1016/j.oregeorev.2019.103017
Popis: The continuous search for mineral resources such as gold, copper and base metals etc. requires a refined understanding of the thermal evolution and exhumation history of potential exploration targets, as only ore deposits can be exploited that have been exhumed to the surface or near to the surface. In order to better understand the exhumation history of the ore deposits a multidisciplinary approach using single grain geo- and thermochronology double/triple dating in combination with other geochemical, fluid inclusion and petrological analyses, can significantly support prospecting for such resources, particularly in frontier areas, where little geological information exists. Geo-thermochronology provides information on the timing of initial host rock crystallization, ore deposit formation and subsequent exhumation as the thermal history can be modelled and exhumation rates can be determined. Here we present a methodological outline on which single-grain double/triple-dating techniques can be used, what sampling strategies may be applied, and how the data may be interpreted.
Databáze: OpenAIRE