Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data
Objective Traditional exploration and geochemical studies have primarily focused on the extraction, interpretation and evaluation of metallogenic element anomalies. This approach, however, overlooks valuable ore prospecting information, which may be provided by other major and trace elements. Conseq...
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Editorial Department of Bulletin of Geological Science and Technology
2024-09-01
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| Series: | 地质科技通报 |
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| Online Access: | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20230274 |
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| author | Weikang ZHANG Qing ZHANG Cheng ZHANG Zhengxi GAO Liquan XU Lei CAO Aobing LI Chunwei JIANG |
| author_facet | Weikang ZHANG Qing ZHANG Cheng ZHANG Zhengxi GAO Liquan XU Lei CAO Aobing LI Chunwei JIANG |
| author_sort | Weikang ZHANG |
| collection | DOAJ |
| description | Objective Traditional exploration and geochemical studies have primarily focused on the extraction, interpretation and evaluation of metallogenic element anomalies. This approach, however, overlooks valuable ore prospecting information, which may be provided by other major and trace elements. Consequently, altered minerals cannot be effectively extracted, and geochemical data is under utilized for ore prospecting. Therefore, the author extracts alteration minerals from a mineralogical perspective and make metallogenic prediction. Methods This paper introduces a new method for extracting alteration minerals based on geochemical data and the stoichiometric ratios of different elements in the mineral chemical formula, referred to as the general element ratio analysis. Results Based on geochemical data obtained from 1∶ 25 000 debris geochemical survey in the Gaoshishan area of the Beishan orogenic belt, results show that sericite, K-feldspar and other alteration minerals are closely related to porphyry deposits, which can be effectively identified from SiO2, Al2O3, Na2O, K2O and other data. The mapping results reveal that sericite is mostly distributed along the intrusion's margins, while K-feldspar is mainly concentrated in the center of theintrusion. Then, based on the ore-controlling factors and ore-prospecting information, such as alteration minerals, magmatic rocks, structures, and traditional geochemical anomalies. This study further conducts metallogenic prediction for the Gaoshishan area using the weight-of-evidence method, delineating five target areas. Conclusion The alteration information extracted in this study has been validated through field investigations confirming that the proposed method is feasible and can provide critical prospecting insights beyond those offered by traditional metallogenic prediction methods. |
| format | Article |
| id | doaj-art-81d9869a190c4ec79198f114f65d2155 |
| institution | OA Journals |
| issn | 2096-8523 |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | Editorial Department of Bulletin of Geological Science and Technology |
| record_format | Article |
| series | 地质科技通报 |
| spelling | doaj-art-81d9869a190c4ec79198f114f65d21552025-08-20T01:47:22ZzhoEditorial Department of Bulletin of Geological Science and Technology地质科技通报2096-85232024-09-0143510511610.19509/j.cnki.dzkq.tb20230274dzkjtb-43-5-105Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical dataWeikang ZHANG0Qing ZHANG1Cheng ZHANG2Zhengxi GAO3Liquan XU4Lei CAO5Aobing LI6Chunwei JIANG7Hubei Geological Survey, Wuhan 430034, ChinaInner Mongolia Key Laboratory of Magmatic Mineralization and Ore-Prospecting, Huhhot 010020, ChinaInner Mongolia Key Laboratory of Magmatic Mineralization and Ore-Prospecting, Huhhot 010020, ChinaInner Mongolia Key Laboratory of Magmatic Mineralization and Ore-Prospecting, Huhhot 010020, ChinaInner Mongolia Key Laboratory of Magmatic Mineralization and Ore-Prospecting, Huhhot 010020, ChinaFaculty of Earth Resources, China University of Geosciences (Wuhan), Wuhan 430074, ChinaFaculty of Earth Resources, China University of Geosciences (Wuhan), Wuhan 430074, ChinaFaculty of Earth Resources, China University of Geosciences (Wuhan), Wuhan 430074, ChinaObjective Traditional exploration and geochemical studies have primarily focused on the extraction, interpretation and evaluation of metallogenic element anomalies. This approach, however, overlooks valuable ore prospecting information, which may be provided by other major and trace elements. Consequently, altered minerals cannot be effectively extracted, and geochemical data is under utilized for ore prospecting. Therefore, the author extracts alteration minerals from a mineralogical perspective and make metallogenic prediction. Methods This paper introduces a new method for extracting alteration minerals based on geochemical data and the stoichiometric ratios of different elements in the mineral chemical formula, referred to as the general element ratio analysis. Results Based on geochemical data obtained from 1∶ 25 000 debris geochemical survey in the Gaoshishan area of the Beishan orogenic belt, results show that sericite, K-feldspar and other alteration minerals are closely related to porphyry deposits, which can be effectively identified from SiO2, Al2O3, Na2O, K2O and other data. The mapping results reveal that sericite is mostly distributed along the intrusion's margins, while K-feldspar is mainly concentrated in the center of theintrusion. Then, based on the ore-controlling factors and ore-prospecting information, such as alteration minerals, magmatic rocks, structures, and traditional geochemical anomalies. This study further conducts metallogenic prediction for the Gaoshishan area using the weight-of-evidence method, delineating five target areas. Conclusion The alteration information extracted in this study has been validated through field investigations confirming that the proposed method is feasible and can provide critical prospecting insights beyond those offered by traditional metallogenic prediction methods.https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20230274general element ratio analysisalteration mineralmetallogenic predictionporphyry depositbeishan orogenic beltgeochemistry |
| spellingShingle | Weikang ZHANG Qing ZHANG Cheng ZHANG Zhengxi GAO Liquan XU Lei CAO Aobing LI Chunwei JIANG Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data 地质科技通报 general element ratio analysis alteration mineral metallogenic prediction porphyry deposit beishan orogenic belt geochemistry |
| title | Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data |
| title_full | Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data |
| title_fullStr | Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data |
| title_full_unstemmed | Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data |
| title_short | Alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data |
| title_sort | alteration mineral identification and metallogenic prediction of porphyry deposits based on geochemical data |
| topic | general element ratio analysis alteration mineral metallogenic prediction porphyry deposit beishan orogenic belt geochemistry |
| url | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20230274 |
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