Feng Yuan

Dr. Feng Yuan


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2011 in Ore Geology Reviews
Verified
Journal Article
Closed access
FYFeng Yuan
Feng Yuan
TZTaofa Zhou
Taofa Zhou
DZDayu Zhang
Dayu Zhang
SJSimon M. Jowitt
Simon M. Jowitt
RKReid Keays
Reid Keays
YFYu Fan
Yu Fan

23 March 2019 in Mineralium Deposita
Verified
Journal Article
Closed access
PDF file
WSWeian Sun
Weian Sun
FYFeng Yuan
Feng Yuan
Simon M. JowittSimon M. Jowitt
Simon M. Jowitt
TZTaofa Zhou
Taofa Zhou
GLGuangxian Liu
Guangxian Liu
VTValentin R. Troll
Valentin R. Troll

4 September 2010 in International Geology Review
Verified
Journal Article
Closed access
FYFeng Yuan
Feng Yuan
TZTaofa Zhou
Taofa Zhou
JLJun Liu
Jun Liu
YFYu Fan
Yu Fan
DCDavid R Cooke
David R Cooke
SJSimon M. Jowitt
Simon M. Jowitt
The Mesozoic Luzong volcanic basin is located in the Lower Yangtze River fault-depression, along the northern margin of the Yangtze Block. Volcanic and plutonic rocks are widely distributed in the basin and are spatially related to Cu, Fe, Au, Pb, and Zn ore deposits. The magmatic rocks are dominated by an alkali-rich shoshonitic suite of volcanics and intrusives, including both a trachybasalt-basaltic trachyandesite-trachyte series and a diorite-monzonite-syenite-alkali feldspar granite series. Volcanic sequences within the Luzong Basin are subdivided into four stages, namely the Longmenyuan, Zhuanqiao, Shuangmiao, and Fushan stages with magmatism occurring between 136 and 124 Ma. Most mineral deposits were formed during the Zhuanqiao stage from about 134 to 131 Ma, during a longer (140–130 Ma) period of transition from compression to extension within the Luzong Basin. Major element concentrations in the Zhuanqiao volcanic rocks range from 53.97 to 62.59 wt.% SiO2, 0.57–0.94 wt.% TiO2, 3.52–6.07 wt.% Na2O, and 3.60–8.66 wt.% K2O. Combined K2O + Na2O totals lie between 7.87 and 12.49 wt.%, and K2O + Na2O/Al2O3 ranges between 0.47 and 0.71. In comparison, the Zhuanqiao intrusions have SiO2 concentrations between 52.19 and 67.70 wt.%, TiO2 between 0.26 and 1.13 wt.%, Na2O between 1.33 and 6.55 wt.%, and K2O between 2.15 and 8.25 wt.%, with K2O + Na2O values ranging from 5.92 to 12.39 wt.% and K2O + Na2O/Al2O3 ratios between 0.37 and 0.75. The Zhuanqiao volcanic rocks have an average ∑REE (rare earth element) content of 223.17 ppm, whereas the average ∑REE of the Zhuanqiao intrusives is 250.06 ppm. Weak negative Eu anomalies (Eu/Eu* between 0.69 and 1.00) characterize the volcanics, whereas a larger range with more significant negative Eu anomalies (Eu/Eu* values of 0.35–0.94) is present in the plutonics. The Zhuanqiao volcanic rocks and plutons have (Nb/Th)PM ratios of 0.05–0.14 and 0.02–0.14 and (La/Sm)PM of 3.33–4.95 and 3.36–7.29, respectively. Initial 87Sr/86Sr and 143Nd/144Nd ratios and ϵSr(t) and ϵNd(t) of the Zhuanqiao volcanic rocks are 0.7059–0.7067, 0.51194–0.51218, 22.0–33.3, and −10.2 to −5.5, respectively; those of the intrusives are 0.7060–0.7082 and 0.51203–0.51214 and 23.3–54.7 and −8.6 to −6.4, respectively. The geochemistry presented here suggests that both volcanic and intrusive Zhuanqiao stage magmatic rocks were cogenetic and were probably derived from an enriched mantle (EM) source, most probably metasomatized mantle relating to the EM type-I (EM-I). The Zhuanqiao stage magmatism apparently was controlled by differentiation and assimilation of crustal material in a high-level magma chamber. Formation of the Zhuanqiao stage magmatic rocks coincided with the formation of much of the Cu and Fe mineralization within the Luzong Basin. This coeval magmatism and mineralization during the Zhuanqiao stage can be subdivided into three differing mineral deposit affinities: magmatism associated with magmato-hydrothermal vein Cu (e.g. the Jingbian, Shimenan, and Chuanshandong deposits), porphyry-hosted Fe (e.g. the Luohe and Nihe deposits), and skarn Fe (e.g. the Longqiao deposit). Combining geological characteristics with variations in SiO2, K2O + Na2O, and MgO enabled the division of the Zhuanqiao stage magmatism in the Luzong Basin into geochemically distinct units associated with these differing styles of mineralization.

1 February 2020 in Ore Geology Reviews
Verified
Journal Article
Closed access
GLGuangxian Liu
Guangxian Liu
FYFeng Yuan
Feng Yuan
YDYufeng Deng
Yufeng Deng
FWFangyue Wang
Fangyue Wang
NWNoel C. White
Noel C. White
TZTaofa Zhou
Taofa Zhou

16 December 2020 in Lithosphere
Verified
Journal Article
Open access
PDF file
XHXunyu Hu
Xunyu Hu
XLXiaohui Li
Xiaohui Li
FYFeng Yuan
Feng Yuan
Simon M. JowittSimon M. Jowitt
Simon M. Jowitt
AOAlison Ord
Alison Ord
XLXiangling Li
Xiangling Li
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.

16 May 2017 in Geochemistry: Exploration, Environment, Analysis
Verified
Journal Article
Closed access
XLXiaohui Li
Xiaohui Li
FYFeng Yuan
Feng Yuan
Simon M. JowittSimon M. Jowitt
Simon M. Jowitt
KZKefa Zhou
Kefa Zhou
JWJinlin Wang
Jinlin Wang
YLYang Li
Yang Li
Porphyry Cu-Au type mineralization forms as a result of magmato-hydrothermal activity and involves the migration of hydrothermal fluids through rock fractures, a process that causes the precipitation of fracture-filling minerals with a volume that is much larger than the orebodies themselves. This means that the mineralization-related geochemical anomalies within the minerals that fill these fractures (i.e. fracture fills) can be used to identify areas prospective for deep-seated or otherwise concealed porphyry-type mineralization. This study focuses on the Shaxi deposit, a concealed porphyry Cu-Au deposit located in the Anhui Province, China, and uses singularity techniques to identify and extract geochemical anomalies associated with porphyry Cu-Au-related fracture fills. These data were used to examine the relationships between geochemical anomalies and known deep and concealed mineralization distinguished from unaltered and unmineralized wall-rock material using a concentration–volume (C–V) model in the study area. This analysis indicates that the geochemical anomalies identified in this study are associated with known areas of mineralization in the Shaxi deposit. Areas defined by fracture fills containing anomalous concentrations of Cu only effectively delineate known areas of shallower Cu mineralization, whereas areas with fracture fills containing anomalous concentrations of Au effectively delineate areas containing either Au mineralization and/or deep-seated Cu mineralization. Our study also identified several other targets that have not been explored in the peripheral areas of the Shaxi deposit, some of which should be considered high priority targets for future exploration for concealed orebodies. This indicates that combining singularity mapping with fracture fill geochemical analysis can effectively delineate geochemical anomalies associated with deep-seated or concealed porphyry-type mineralization, an approach that also may well be applicable to exploration for other types of magmato-hydrothermal or hydrothermal mineral deposits.