Porphyry Copper Ore Formation

1988 ◽  
Author(s):  
B.M. Strunin ◽  
V.V. Distler ◽  
A.K. Mkrtychyan
Keyword(s):  
Porphyry Copper ◽  
Copper Ore ◽  
Ore Formation

Model Discrimination in the Flotation of a Porphyry Copper Ore

1985 ◽  
Vol 2 (2) ◽  
pp. 87-101 ◽  
Author(s):  
E. C. Dowling ◽  
R. R. Klimpel ◽  
F. F. Aplan
Keyword(s):  
Porphyry Copper ◽  
Model Discrimination ◽  
Copper Ore

A fluid inclusion and stable isotope study of synmetamorphic copper ore formation at Mount Isa, Australia

1989 ◽  
Vol 84 (3) ◽  
pp. 529-550 ◽  
Author(s):  
Christoph A. Heinrich ◽  
Anita S. Andrew ◽  
Ronald W. T. Wilkins ◽  
David J. Patterson
Keyword(s):  
Stable Isotope ◽  
Fluid Inclusion ◽  
Copper Ore ◽  
Ore Formation ◽  
Mount Isa ◽  
Isotope Study ◽  
Stable Isotope Study

Sulfur isotope systematics of copper ore formation at Mount Isa, Australia

1989 ◽  
Vol 84 (6) ◽  
pp. 1614-1626 ◽  
Author(s):  
Anita S. Andrew ◽  
Christoph A. Heinrich ◽  
Ronald W. T. Wilkins ◽  
David J. Patterson
Keyword(s):  
Sulfur Isotope ◽  
Copper Ore ◽  
Ore Formation ◽  
Mount Isa ◽  
Isotope Systematics

Alteration and Fluid Inclusion Studies of the Porphyry Copper Ore Body at Bingham, Utah

1974 ◽  
Vol 69 (5) ◽  
pp. 631-645 ◽  
Author(s):  
William J. Moore ◽  
J. Thomas Nash
Keyword(s):  
Fluid Inclusion ◽  
Porphyry Copper ◽  
Copper Ore ◽  
Ore Body

scholarly journals A Remote-Sensing-Based Alteration Zonation Model of the Duolong Porphyry Copper Ore District, Tibet

2021 ◽  
Vol 13 (24) ◽  
pp. 5073
Author(s):  
Fojun Yao ◽  
Xingwang Xu ◽  
Jianmin Yang ◽  
Xinxia Geng
Keyword(s):  
Remote Sensing ◽  
Thermal Emission ◽  
Mineral Exploration ◽  
Porphyry Copper ◽  
Principal Component ◽  
Thermal Infrared ◽  
Copper Ore ◽  
Aster Data ◽  
Alteration Zoning ◽  
Ore District

Remote sensing (RS) of alteration zones and anomalies can provide information that is useful for geological prospecting and exploration. RS is an effective method for porphyry copper mineral exploration and prospecting prediction. More specifically, the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) data, which include 14 spectral channels from visible light to thermal infrared, are useful in such cases. This study uses visible-shortwave infrared and thermal infrared ASTER data together with surface material spectra from the Duolong porphyry copper ore district to construct an RS-based alteration zonation model of the deposit. In this study, an RS alteration zoning model is established based on ground-spectral alteration zoning results. The methods include PCA (Principal Component Analysis), Ratio, and Slope methods. The information obtained by each method is different. RS-based alteration zonation is developed based on the intersection of maps, resultant from the different methods for extracting information related to different minerals. The alteration zonation information extracted from ASTER RS data is consistent with geological observations. Using information from the RS-based model, we mapped the alteration minerals and zones of the Duolong ore district, thereby identifying prospecting target areas of the deposit.

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