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ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Geoinformatics
Volume 13 - 2025 |
doi: 10.3389/feart.2025.1489969
Determination of Geospatial Criteria and Prediction of Potential Areas for Porphyry Copper Deposits in Kazakhstan
Provisionally accepted- 1 Nazarbayev University, Nur-Sultan, Kazakhstan
- 2 Natural History Museum (United Kingdom), London, Westminster, United Kingdom
Determining spatial parameters related to mineral deposits is crucial for analysing mineral prospectivity. These spatial parameters, called Geospatial Criteria (GC), can serve as input data for modelling mineral prospectivity. Porphyry Copper (Cu) deposits are the major source of the world's Cu supply, and reliance on these deposits has significantly increased over the past decade. Kazakhstan produces 2-4% of global Cu production, with most sources are porphyry Cu deposits. This study applies data-driven and knowledge-based overlay techniques to define region-scale GC for porphyry Cu deposits in Kazakhstan to be used for mineral prospectivity modelling. The spatial attributes of highly prospective porphyry Cu deposits in Kazakhstan are systematically integrated into a Geographic Information System (GIS) to identify and evaluate the GC. Regional spatial datasets, including tectonics, lithological , geochronological , gravity, and magnetic data related to porphyry Cu deposits in Kazakhstan are comprehensively compiled and integrated within the GIS environment. An overlay analysis and Venn diagram analysis are performed using anomalous geospatial data. This results in a prospective area map based on GC highlighting targeted zones for porphyry Cu deposits in Kazakhstan.
Keywords: Geospatial Criteria, Porphyry Cu deposits, geographic information system, exploration, Kazakhstan
Received: 02 Sep 2024; Accepted: 03 Feb 2025.
Copyright: © 2025 Shah, Bayramov, Neafie and Seltmann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zahid Shah, Nazarbayev University, Nur-Sultan, Kazakhstan
Emil Bayramov, Nazarbayev University, Nur-Sultan, Kazakhstan
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