Three-Dimensional Attribute Modeling and Deep Mineralization Prediction of Vein 171 in Linglong Gold Field, Jiaodong Peninsula, Eastern China
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Le résumé fourni par la source
As shallow mineral resources become increasingly depleted, the search for deep-seated orebodies has emerged as a crucial focus in modern gold exploration. This study investigates Vein 171 in the Linglong gold field, Jiaodong Peninsula, using 3D attribute modeling for deep mineralization prediction and precise orebody delineation. The research integrates surface and block models through Vulcan 2021.5 3D mining software to reconstruct the spatial morphology and internal attribute distribution of the orebody. Geostatistical methods were applied to identify and process high-grade anomalies, with grade interpolation conducted using the inverse distance weighting (IDW) method. The results reveal that Vein 171 is predominantly controlled by NE-trending extensional structures, and grade enrichment occurs in zones where fault dips transition from steep to gentle. The grade distribution of the 1711 and 171sub-1 orebodies demonstrates heterogeneity, with high-grade clusters exhibiting periodic and discrete distributions along the dip and plunge directions. Key enrichment zones were identified at elevations of –1800 m to –800 m near the bifurcation of the Zhaoping Fault, where stress concentration and rock fracturing have created complex fracture networks conducive to hydrothermal fluid migration and gold precipitation. Nine verification drillholes in key target areas revealed 21 new mineralized bodies, resulting in an estimated additional 2.308 t of gold resources and validating the predictive accuracy of the 3D model. This study not only provides a reliable framework for deep prospecting and mineral resource expansion in the Linglong Goldfield but also serves as a reference for exploration in similar structurally controlled gold deposits globally.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Three-Dimensional Attribute Modeling and Deep Mineralization Prediction of Vein 171 in Linglong Gold Field, Jiaodong Peninsula, Eastern China
- Date Crossref
- 27/08/2025
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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East China University of Technology Jiangxi Provincial Key Laboratory of Genesis and Prospect for Strategic Minerals pays non établi dans la noticeUniversité ou école supérieure
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Beijing Research Institute of Uranium Geology pays non établi dans la noticeStructure de recherche
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Zhejiang Research Institute of Chemical Industry pays non établi dans la noticeStructure de recherche
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School of Earth and Planetary Sciences pays non établi dans la noticeUniversité ou école supérieure
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Shandong Gold Geology and Mineral Exploration Co. pays non établi dans la noticeStructure de recherche
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National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing pays non établi dans la noticeStructure de recherche
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Shandong Gold (Beijing) Industrial Investment Co. pays non établi dans la noticeOrganisation à but non lucratif
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Zhejiang Province Nuclear Industry 262 Brigade pays non établi dans la noticeInstitution
Jiangxi Provincial Key Laboratory of Genesis and Prospect for Strategic Minerals — East China University of Technology, Beijing Research Institute of Uranium Geology et Zhejiang Research Institute of Chemical Industry, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.