manganese deposits
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Minerals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1273
Author(s):  
Lingfeng Gao ◽  
Shan Xu ◽  
Xiangyun Hu ◽  
Shuang Liu ◽  
Qi Zhou ◽  
...  

The break-up of the supercontinent Rodinia in the late Neoproterozoic led to the formation of the Nanhua rift basin within the South China Block. The Datangpo-type manganese deposit, which developed in the Nanhua rift basin, is one of the most important types of manganese deposits in South China. Although it is widely accepted that deep sedimentary structures significantly affect the manganese ore system, the relationship between the manganese deposits in South China and the Nanhua rifting process is still unclear. The origin of the manganese ore layer remains controversial. In this paper, we integrated the audio-frequency magnetotelluric (AMT) data, gravity data, and comprehensive geological and borehole data analysis to characterize the structure of the Datangpo-type manganese deposit in Songtao, Guizhou Province. The resistivity and density models produced an inclined layered structure, which correlated well with the coeval sediment strata of the Nanhua rift basin. A high-resistivity cap was observed from the surface to a depth of 800 m, corresponding to the Cambrian Loushanguan (ϵ3−4ls) and Palang dolomite formation (ϵ2p), which has helped the storage of the manganese ore. The most significant low-resistivity anomaly (25–40 Ω·m) resides at a depth of 1400 m in the Nantuo (Nh3n) gravel sandstone and Datangpo (Nh2d) silty and carbonaceous shale, corresponding to the ore-forming layer. This distinct low-resistivity layer was possibly produced by aqueous fluids and pyrite in the syn-sedimentary fault and alteration zone. The accumulations of sulfide minerals in the rock samples suggest a possible anoxic-euxinic deposition environment during the manganese mineralization and precipitation. The fault revealed in the resistivity models is perhaps a previous fault zone produced by extension in the Nanhua rifting process, which provided migration and upwelling channels for ore-forming minerals. Based on our resistivity models, density models, and geological survey, the manganese ore-forming model was derived, which can help to provide geophysical evidence for the origin of the Datangpo-type manganese deposit.


2021 ◽  
pp. 104259
Author(s):  
Wenchao Yu ◽  
Márta Polgári ◽  
Krisztián Fintor ◽  
Ildikó Gyollai ◽  
Máté Szabó ◽  
...  

Author(s):  
Aleksei V. Vishniakov ◽  
◽  
Iurii O. Fedorov ◽  
Andrei Iu. Chikin ◽  
◽  
...  

Introduction. In addition to the classical methods of manganese ore processing, a lower-cost and more environmentally friendly technology of X-ray radiometric separation (XRS) has been developed in the last twenty years. The technology has been embraced by enterprises and applied to improve the efficiency of manganese deposits development. The article provides original results of the research carried out by Irgiredmet institute concerning the development of the procedure and technology of manganese ore XRS. Research methodology. The XRS methodology is based on the X-ray fluorescence (XRF) method of elements detection common in geophysical practice. A methodological task of these method is to find manganese in ore containing not only manganese but also iron, as soon as the two elements possess characteristic X-ray radiation (CXR) close in energy and mutually affect the accuracy of their detection by the X-ray fluorescence analyzers. The chosen research methodology allowed developing a new way of keeping records of the elements when solving the problems of manganese ore sampling and sorting. Research results. A new and efficient algorithm of sampling manganese and iron has been developed and tested on different types of manganese and ferromanganese ore. The ratio of CXR of the detected elements to the total sum of the scattered radiation (SR) and these elements CXR intensity set by a special spectral coefficient k is such universal criterion which promotes to more accurate detection of manganese and iron content in lumps.


2021 ◽  
pp. 993-1001
Author(s):  
Kira Mizell ◽  
James R. Hein

2020 ◽  
Vol 31 (5) ◽  
pp. 884-895 ◽  
Author(s):  
Muhammad Ayoub Khan ◽  
Muhammad Ishaq Kakar ◽  
Thomas Ulrich ◽  
Liaqat Ali ◽  
Andrew C. Kerr ◽  
...  
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