2006
DOI: 10.2113/101.1.1
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100th Anniversary Special Paper: Numerical Models of Extensional Deformation, Heat Transfer, and Fluid Flow across Basement-Cover Interfaces during Basin-Related Mineralization

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Cited by 40 publications
(40 citation statements)
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“…The results collectively demonstrate that the Zn and Pb contents in saline solutions strongly correlate with temperature and the salinity of the fluid. Besides magmatic fluids exsolved from crystallising plutons (Holland 1972) resulting in, e.g., skarn deposits (e.g., Meinert 1987), proposed metal sources for PbZn include (1) sedimentary basins where Pb and Zn are leached via interaction with formation waters (Leach et al 2005 and therein), (2) crystalline basements where metals are mobilised by sedimentary formation waters (Russell 1978;Oliver et al 2006) and (3) leaching of metals by fluid flow during regional metamorphism (e.g., Lebedev and Nagaytsev 1980;Haack et al 1984). However, in many cases, there are still great uncertainties from where the metals are Editorial handling: D. Huston Electronic supplementary material The online version of this article (doi:10.1007/s00126-015-0600-5) contains supplementary material, which is available to authorized users.…”
Section: Introductionmentioning
confidence: 99%
“…The results collectively demonstrate that the Zn and Pb contents in saline solutions strongly correlate with temperature and the salinity of the fluid. Besides magmatic fluids exsolved from crystallising plutons (Holland 1972) resulting in, e.g., skarn deposits (e.g., Meinert 1987), proposed metal sources for PbZn include (1) sedimentary basins where Pb and Zn are leached via interaction with formation waters (Leach et al 2005 and therein), (2) crystalline basements where metals are mobilised by sedimentary formation waters (Russell 1978;Oliver et al 2006) and (3) leaching of metals by fluid flow during regional metamorphism (e.g., Lebedev and Nagaytsev 1980;Haack et al 1984). However, in many cases, there are still great uncertainties from where the metals are Editorial handling: D. Huston Electronic supplementary material The online version of this article (doi:10.1007/s00126-015-0600-5) contains supplementary material, which is available to authorized users.…”
Section: Introductionmentioning
confidence: 99%
“…The defined zinc metal resource of 1.57×10 7 t [1] at the Mount Isa deposit could be accounted for with a metal deposition efficiency of about 26%. Also given the temperature constraint of the Mount Isa mineralization [21][22][23] and the simulated thermal patterns stated above, cases 1, 3 and 4 seem to be favorable for the formation of a Mount Isa-type ore body adjacent to a major fault system. The numerical modeling studies presented here therefore support the following final conclusion: buoyancy force is an efficient and effective driving mechanism for basin-scale fluid flow and heat transport, and it is viable enough to give rise to the generation of supergiant SEDEX deposits like the Mount Isa deposit, Northern Australia.…”
Section: Discussionmentioning
confidence: 99%
“…Grid discretization of the faults can be found in Figure 1(b). Similar general geological structure of the Mount Isa-McArthur basin region has been also used in previous fluid flow models [12][13][14]18,22,23] . Like in the previous studies [22,23] , Fault 1 on the left is equivalent to the Mount Isa fault system, and Fault 2 on the right simulates a fault zone to farther north, such as the Termite Range fault at the Century deposit.…”
Section: Governing Equations and Finite Element Modelingmentioning
confidence: 99%
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“…In the models considered here, this is usually reached by varying the permeability until optimal values are attained, as recorded by local or averaged values of Nusselt numbers or some other measurement of heat transfer efficiency (such as local measurement of T/q in fluid upflow zones, where q is the fluid flux, e.g. Oliver et al, 2006). At even higher Rayleigh numbers, such as for models with higher permeability than those with optimum stable convection, fluid and heat flow behaviour becomes more unpredictable.…”
mentioning
confidence: 99%