2020
DOI: 10.1016/j.oregeorev.2019.103230
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Numerical modeling of ore-forming processes within the Chating Cu-Au porphyry-type deposit, China: Implications for the longevity of hydrothermal systems and potential uses in mineral exploration

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Cited by 29 publications
(11 citation statements)
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“…(1) Geothermal/lithostatic pressure gradient The calculation formula of geothermal and lithostatic pressure gradient is as follows 39 .…”
Section: Governing Equations During the Mineralization Process Of The...mentioning
confidence: 99%
“…(1) Geothermal/lithostatic pressure gradient The calculation formula of geothermal and lithostatic pressure gradient is as follows 39 .…”
Section: Governing Equations During the Mineralization Process Of The...mentioning
confidence: 99%
“…The metal deposits found in the region are all located inside or at the edge of the low resistivity range, reflecting the relationship of them. In addition, a small-scale conductor body C6 appears at this depth, and its surface location is the Chating copper-gold mine [34], [35]. There are two conductors (C1 and C2) on the west side and east side of the Zhouwang Fault (ZWF).…”
Section: A Depth Sectionsmentioning
confidence: 99%
“…Its top depth is about 1 km, and the bottom depth is about 6 km with a resistivity value less than 10Ω•m. C6 is located directly below the newly discovered Chating copper-gold deposit in the study area, reflecting the location of the mineralized body and the deep source of the ore body [34], [35]. There is a continuous low resistivity distribution near the surface of the JNF.…”
Section: B Vertical Slicesmentioning
confidence: 99%
“…Geochemical sampling environments include water and soil samples (undercover areas), stream sediment samples and rock samples (rock outcrop areas and core-drilling) environments. These studies by using modelling geochemical anomalies, based on the type of sampling at the study area, could lead to the identification of geochemical halos formed at the surface of the deposit and also mineralisation on the surface (surface sampling) or lead to the identification of mineralisation zones at depth (borehole sampling) (Hezarkhani and Ghannadpour 2015a; Hu et al 2020).…”
Section: Introductionmentioning
confidence: 99%