Junny Kyley Mastop de Oliveira , Adalene Moreira Silva , Felipe Mattos Tavares , Iago Sousa Lima Costa
{"title":"绘制北铜带铜金矿物潜力(IOCG和铜金多金属),Carajás矿产省:数据驱动,基于矿物系统的方法","authors":"Junny Kyley Mastop de Oliveira , Adalene Moreira Silva , Felipe Mattos Tavares , Iago Sousa Lima Costa","doi":"10.1016/j.oregeorev.2025.106770","DOIUrl":null,"url":null,"abstract":"<div><div>Advances in exploration targeting and artificial intelligence have substantially improved mineral potential mapping, but few regional-scale studies have evaluated on the Carajás Mineral Province despite its global metallogenic importance. Hence, we conducted a district-scale study in the Northern Copper Belt, which hosts Brazil’s largest iron oxide–copper–gold (IOCG) deposit, Salobo. Using a mineral systems-based approach, we developed prospectivity models for additional and concealed IOCG deposits. Two copper systems were delineated: (i) an IOCG-type system with multiple mineralizing pulses at 2.72 Ga and 2.55 Ga, and (ii) a granite-related system associated with Paleoproterozoic A-type granites (∼1.88 Ga), linked to smaller-scale Cu–Au polymetallic mineralization in brittle structures. Mapping was performed using GIS-based spatial modeling and Random Forest classification. Key geological criteria and evidential maps were based on geological, geophysical, and mineral resource datasets. The resulting maps delineated high-potential Cu–Au zones, several overlapping known deposits. Structural frameworks and airborne magnetic data were the most significant predictive factors. Statistical validations using stratified k-fold cross-validation confirmed high model accuracies. The final integrated model reached 0.875 (±0.20) training accuracy and 0.866 in testing. Spatial validation using the improved Prediction–Area plot further supported the model’s robustness, with all known occurrences captured within 3,7% of the study area. Field validation corroborated model predictions, reinforcing its reliability. Several new high-potential zones without known deposits were identified, and five key targets were prioritized based on scale, continuity, and favorability. These results reinforce the effectiveness of a data-driven mineral systems approach for district-scale exploration in Carajás.</div></div>","PeriodicalId":19644,"journal":{"name":"Ore Geology Reviews","volume":"185 ","pages":"Article 106770"},"PeriodicalIF":3.6000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping Cu–Au mineral potential (IOCG and Cu–Au polymetallic) in the Northern Copper Belt, Carajás Mineral Province: A data-driven, mineral systems-based approach\",\"authors\":\"Junny Kyley Mastop de Oliveira , Adalene Moreira Silva , Felipe Mattos Tavares , Iago Sousa Lima Costa\",\"doi\":\"10.1016/j.oregeorev.2025.106770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Advances in exploration targeting and artificial intelligence have substantially improved mineral potential mapping, but few regional-scale studies have evaluated on the Carajás Mineral Province despite its global metallogenic importance. Hence, we conducted a district-scale study in the Northern Copper Belt, which hosts Brazil’s largest iron oxide–copper–gold (IOCG) deposit, Salobo. Using a mineral systems-based approach, we developed prospectivity models for additional and concealed IOCG deposits. Two copper systems were delineated: (i) an IOCG-type system with multiple mineralizing pulses at 2.72 Ga and 2.55 Ga, and (ii) a granite-related system associated with Paleoproterozoic A-type granites (∼1.88 Ga), linked to smaller-scale Cu–Au polymetallic mineralization in brittle structures. Mapping was performed using GIS-based spatial modeling and Random Forest classification. Key geological criteria and evidential maps were based on geological, geophysical, and mineral resource datasets. The resulting maps delineated high-potential Cu–Au zones, several overlapping known deposits. Structural frameworks and airborne magnetic data were the most significant predictive factors. Statistical validations using stratified k-fold cross-validation confirmed high model accuracies. The final integrated model reached 0.875 (±0.20) training accuracy and 0.866 in testing. Spatial validation using the improved Prediction–Area plot further supported the model’s robustness, with all known occurrences captured within 3,7% of the study area. Field validation corroborated model predictions, reinforcing its reliability. Several new high-potential zones without known deposits were identified, and five key targets were prioritized based on scale, continuity, and favorability. These results reinforce the effectiveness of a data-driven mineral systems approach for district-scale exploration in Carajás.</div></div>\",\"PeriodicalId\":19644,\"journal\":{\"name\":\"Ore Geology Reviews\",\"volume\":\"185 \",\"pages\":\"Article 106770\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ore Geology Reviews\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169136825003300\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ore Geology Reviews","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169136825003300","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOLOGY","Score":null,"Total":0}
Mapping Cu–Au mineral potential (IOCG and Cu–Au polymetallic) in the Northern Copper Belt, Carajás Mineral Province: A data-driven, mineral systems-based approach
Advances in exploration targeting and artificial intelligence have substantially improved mineral potential mapping, but few regional-scale studies have evaluated on the Carajás Mineral Province despite its global metallogenic importance. Hence, we conducted a district-scale study in the Northern Copper Belt, which hosts Brazil’s largest iron oxide–copper–gold (IOCG) deposit, Salobo. Using a mineral systems-based approach, we developed prospectivity models for additional and concealed IOCG deposits. Two copper systems were delineated: (i) an IOCG-type system with multiple mineralizing pulses at 2.72 Ga and 2.55 Ga, and (ii) a granite-related system associated with Paleoproterozoic A-type granites (∼1.88 Ga), linked to smaller-scale Cu–Au polymetallic mineralization in brittle structures. Mapping was performed using GIS-based spatial modeling and Random Forest classification. Key geological criteria and evidential maps were based on geological, geophysical, and mineral resource datasets. The resulting maps delineated high-potential Cu–Au zones, several overlapping known deposits. Structural frameworks and airborne magnetic data were the most significant predictive factors. Statistical validations using stratified k-fold cross-validation confirmed high model accuracies. The final integrated model reached 0.875 (±0.20) training accuracy and 0.866 in testing. Spatial validation using the improved Prediction–Area plot further supported the model’s robustness, with all known occurrences captured within 3,7% of the study area. Field validation corroborated model predictions, reinforcing its reliability. Several new high-potential zones without known deposits were identified, and five key targets were prioritized based on scale, continuity, and favorability. These results reinforce the effectiveness of a data-driven mineral systems approach for district-scale exploration in Carajás.
期刊介绍:
Ore Geology Reviews aims to familiarize all earth scientists with recent advances in a number of interconnected disciplines related to the study of, and search for, ore deposits. The reviews range from brief to longer contributions, but the journal preferentially publishes manuscripts that fill the niche between the commonly shorter journal articles and the comprehensive book coverages, and thus has a special appeal to many authors and readers.