scholarly journals Numerical Simulation Based Targeting of the Magushan Skarn Cu–Mo Deposit, Middle-Lower Yangtze Metallogenic Belt, China

Minerals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 588 ◽  
Author(s):  
Xunyu Hu ◽  
Xiaohui Li ◽  
Feng Yuan ◽  
Alison Ord ◽  
Simon M. Jowitt ◽  
...  

The Magushan Cu–Mo deposit is a skarn deposit within the Nanling–Xuancheng mining district of the Middle-Lower Yangtze River Metallogenic Belt (MLYRMB), China. This study presents the results of a new numerical simulation that models the ore-forming processes that generated the Magushan deposit and enables the identification of unexplored areas that have significant exploration potential under areas covered by thick sedimentary sequences that cannot be easily explored using traditional methods. This study outlines the practical value of numerical simulation in determining the processes that operate during mineral deposit formation and how this knowledge can be used to enhance exploration targeting in areas of known mineralization. Our simulation also links multiple subdisciplines such as heat transfer, pressure, fluid flow, chemical reactions, and material migration. Our simulation allows the modeling of the formation and distribution of garnet, a gangue mineral commonly found within skarn deposits (including within the Magushan deposit). The modeled distribution of garnet matches the distribution of known mineralization as well as delineating areas that may well contain high garnet abundances within and around a concealed intrusion, indicating this area should be considered a prospective target during future mineral exploration. Overall, our study indicates that this type of numerical simulation-based approach to prospectivity modeling is both effective and economical and should be considered an additional tool for future mineral exploration to reduce exploration risks when targeting mineralization in areas with thick and unprospective sedimentary cover sequences.

Lithosphere ◽  
2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Xunyu Hu ◽  
Xiaohui Li ◽  
Feng Yuan ◽  
Simon M. Jowitt ◽  
Alison Ord ◽  
...  

Abstract Recent exploration has identified a series of Cu-Mo skarn deposits within the Xuancheng-Magushan orefield. The orefield forms part of the Nanling-Xuancheng mining district, which is located within the Middle-Lower Yangtze River Metallogenic Belt (MLYRMB) of central-eastern China. However, this area contains thick and widespread unprospective sedimentary cover sequences that have impeded traditional approaches to mineral exploration. This study presents the results of 3D numerical simulation modeling that identifies possible mineral exploration targets within the entire Xuancheng-Magushan orefield. This modeling enables the identification of unexplored areas with significant exploration potential that are covered by thick sedimentary sequences that cannot be easily explored using traditional exploration approaches. This study outlines the practical value of 3D numerical simulation-based targeting in areas with thick sedimentary cover sequences and uses the Flac3D software package to couple processes involved in ore formation such as stress, pressure, and heat transfer. Here, we use volumetric strain increments calculated during numerical modeling as the thermodynamic representation of the generation of space during prograde skarn formation, with this space filed by sulfides either penecontemporaneously or soon after magmatism. This process occurred during retrograde hydrothermal ore formation and the genesis of the skarn-type mineralization in this area. The results of the volumetric strain increment calculated during this numerical modeling study matches the distribution of known mineralization as well as delineating eight potential targets that have not yet been explored but represent areas of significant exploration potential within the Xuancheng-Magushan orefield, indicating these targets should be considered prospective for future mineral exploration. One of these targets was also identified during our previous Comsol-based numerical modeling of the formation of the Magushan Cu-Mo skarn deposit. The fact that this area has been identified as prospective using two different numerical modeling methods indicates that this area should be prioritized for future exploration and also validates the numerical modeling approaches used here and in our previous research that more specifically focused on the Magushan skarn deposit. Overall, our study indicates that prospectivity modeling using 3D numerical simulation-based approaches can be both effective and economical and should be considered an additional tool for future mineral exploration to reduce exploration risks when targeting mineralization in areas with thick and unprospective sedimentary cover sequences.


1998 ◽  
Author(s):  
Warren J. Nokleberg ◽  
Timothy D. West ◽  
Kenneth M. Dawson ◽  
Vladimir I. Shpikerman ◽  
Thomas K. Bundtzen ◽  
...  

1997 ◽  
Author(s):  
Warren J. Nokleberg ◽  
Timothy D. West ◽  
Kenneth M. Dawson ◽  
Vladimir I. Shpikerman ◽  
Thomas K. Bundtzen ◽  
...  

2019 ◽  
Vol 29 (1) ◽  
pp. 415-438 ◽  
Author(s):  
Leilei Huang ◽  
Gongwen Wang ◽  
Emmanuel John M. Carranza ◽  
Jingguo Du ◽  
Junjian Li ◽  
...  

2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Tian Ma ◽  
Claudio Santarelli ◽  
Thomas Ziegenhein ◽  
Dirk Lucas ◽  
Jochen Fröhlich

Author(s):  
Vivek K. Himanshu ◽  
A.K. Mishra ◽  
M.P. Roy ◽  
Ashish K. Vishwakarma ◽  
P.K. Singh

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