Giant Porphyry Deposits: Characteristics, Distribution, and Tectonic Controls

Cooke, David R.; Hollings, Pete; Walshe, John L.

doi:10.2113/gsecongeo.100.5.801

Cited by 740 publications

(106 citation statements)

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“…This paper focuses on porphyry-Cu deposits. This type of mineral deposit has been discussed in many publications (e.g., Boomeri et al, 2009;Cline and Bodnar, 1991;Cooke et al, 2005;Guangsheng et al, 2007;Gustafson and Hunt, 1975;Sillitoe, 1993;Singer et al, 2005). There are many studies that have attempted to explore and to characterize porphyry-Cu deposits.…”

Section: Introductionmentioning

confidence: 98%

Geochemical mineralization probability index (GMPI): A new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping

Yousefi

Kamkar‐Rouhani

Carranza

2012

Journal of Geochemical Exploration

165

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Section: Introductionmentioning

confidence: 98%

Geochemical mineralization probability index (GMPI): A new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping

Yousefi

Kamkar‐Rouhani

Carranza

2012

Journal of Geochemical Exploration

165

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“…Porphyry Cu-Mo deposits mainly occur in island arcs and/or active continental margins and are closely related to the subduction of the oceanic plate, which makes them an important indicator of the regional tectonic setting and geological evolution [1][2][3] . In NE China, this kind of deposit is widely distributed, such as the Wunugetushan and Duobaoshan porphyry Cu deposits, and Daheishan Mo deposit.…”

mentioning

confidence: 99%

Porphyry Cu-Mo deposits in the eastern Xing’an-Mongolian Orogenic Belt: Mineralization ages and their geodynamic implications

et al. 2007

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The eastern Xing'an-Mongolian (Xing-Meng) Orogenic Belt (XMOB) is one of the important areas of porphyry copper (Cu)-molybdenum (Mo) deposits in China.However, studies on the exact ages of mineralization and their geodynamic significance are very limited. In this study, granodioritic rocks from the Duobaoshan Cu deposit and Daheishan Mo deposit were selected to make zircon SHRIMP U-Pb analyses in order to constrain their mineralization ages. Geochronological data indicate that two episodes of mineralization took place in the Duobaoshan Cu deposits. The granodiorite related to the Duobaoshan porphyry Cu deposit was formed in the Early Paleozoic with zircon U-Pb age of 485±8 Ma, whereas the granodiorites related to the Sankuanggou skarn-type Cu deposit were emplaced in the Jurassic with zircon U-Pb ages of 176±3 and 177±3 Ma. In the Daheishan area of Jilin Province, the emplacement age of the granodiorite porphyry related to the porphyry Mo deposit was dated at 170±3 Ma, and the unmineralized monzogranite at 178±3 Ma. Therefore, two episodes of Cu-Mo mineralization were developed in the eastern XMOB, at ~485 Ma and ~175 Ma, respectively. Based on the geological history and spatial-temporal distribution of the granitoids in northeastern (NE) China, it is proposed that the Duobaoshan Cu deposit was related to the collision of the Xing'an and Erguna blocks in the Early Paleozoic, and the Sankuanggou Cu and Daheishan Mo deposits were related to subduction of the Paleo-Pacific plate during the Jurassic.

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“…The deposit is located approximately 70 km NNE of the Chilean capital Santiago on the western side of the Andean cordillera. Together with the adjacent Los Bronces mine, the district is classified as a "behemothian" (sensu Clark [29]) porphyry copper system [30].…”

Section: Deposit Geology and Mineralogymentioning

confidence: 99%

Optimization and Quality Control of Automated Quantitative Mineralogy Analysis for Acid Rock Drainage Prediction

Pooler¹,

Dold

2017

Minerals

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Low ore-grade waste samples from the Codelco Andina mine that were analyzed in an environmental and mineralogical test program for acid rock drainage prediction, revealed inconsistencies between the quantitative mineralogical data (QEMSCAN ® ) and the results of geochemical characterizations by atomic absorption spectroscopy (AAS), LECO ® furnace, and sequential extractions). For the QEMSCAN ® results, biases were observed in the proportions of pyrite and calcium sulfate minerals detected. An analysis of the results indicated that the problems observed were likely associated with polished section preparation. Therefore, six different sample preparation protocols were tested and evaluated using three samples from the previous study. One of the methods, which involved particle size reduction and transverse section preparation, was identified as having the greatest potential for correcting the errors observed in the mineralogical analyses. Further, the biases in the quantities of calcium sulfate minerals detected were reduced through the use of ethylene glycol as a polishing lubricant. It is recommended that the sample preparation methodology described in this study be used in order to accurately quantify percentages of pyrite and calcium sulfate minerals in environmental mineralogical studies which use automated mineralogical analysis.

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Giant Porphyry Deposits: Characteristics, Distribution, and Tectonic Controls

Cited by 740 publications

References 67 publications

Geochemical mineralization probability index (GMPI): A new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping

Geochemical mineralization probability index (GMPI): A new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping

Porphyry Cu-Mo deposits in the eastern Xing’an-Mongolian Orogenic Belt: Mineralization ages and their geodynamic implications

Optimization and Quality Control of Automated Quantitative Mineralogy Analysis for Acid Rock Drainage Prediction

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