2017
DOI: 10.1007/s11771-017-3473-1
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Effects of porosity heterogeneity on chemical dissolution-front instability in fluid-saturated rocks

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Cited by 10 publications
(7 citation statements)
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“…The increase in porosity in the stratified model in which the mineral zones do not extend from the left to the right boundaries (scenario 4) is only 1%. This result agrees with the findings of Min et al [19] and Zhao et al [26], who reported that heterogeneities in mineral distribution can greatly affect the evolution of karst systems. In addition, the reactive transport models confirm that the dissolution of these highly soluble sulfate minerals is responsible for the excess of dissolved sulfate, sodium, and magnesium detected in the hydrogeochemical conceptual model of the Villar de Cañas area [77][78][79].…”
Section: Discussionsupporting
confidence: 93%
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“…The increase in porosity in the stratified model in which the mineral zones do not extend from the left to the right boundaries (scenario 4) is only 1%. This result agrees with the findings of Min et al [19] and Zhao et al [26], who reported that heterogeneities in mineral distribution can greatly affect the evolution of karst systems. In addition, the reactive transport models confirm that the dissolution of these highly soluble sulfate minerals is responsible for the excess of dissolved sulfate, sodium, and magnesium detected in the hydrogeochemical conceptual model of the Villar de Cañas area [77][78][79].…”
Section: Discussionsupporting
confidence: 93%
“…In addition, the generalized use of permeability-porosity relationships in numerical models is another source of uncertainty, since it depends on many factors, such as the structure of the rock, the mineralogy, and the dissolution processes [22]. One of the most accepted models relating porosity to permeability is the Kozeny-Carman model [23][24][25][26][27][28][29][30]. However, additional permeability-porosity relationships have been proposed recently and have been implemented in numerical codes, such as the modified Fair-Hatch model [31] and the Verma-Pruess model [32].…”
Section: Introductionmentioning
confidence: 99%
“…With the drive of finding new mineral resources in nature, computational simulation methods have been broadly used to simulate hydrothermal ore‐forming systems within the upper crust of the Earth 1–11 . From the scientific point of view, a hydrothermal ore‐forming system usually involves the following four main processes: a pore‐fluid flow process, a heat transfer process, a mass transport process and a chemical reaction process in the fluid‐saturated porous medium.…”
Section: Introductionmentioning
confidence: 99%
“…From the scientific point of view, a hydrothermal ore‐forming system usually involves the following four main processes: a pore‐fluid flow process, a heat transfer process, a mass transport process and a chemical reaction process in the fluid‐saturated porous medium. This means that for the purpose of computationally simulating a hydrothermal ore‐forming system, it is necessary to mathematically consider a nonlinearly coupled problem containing the abovementioned four main processes, 6,7 so as to derive mathematical governing equations of the coupled problem in the fluid‐saturated porous medium.…”
Section: Introductionmentioning
confidence: 99%
“…(5) What was the post-cooling influence of the solidified magma and tectonic faults on the orebody distribution in the oreforming system? Obviously, these five fundamental questions involved in the formation of the Ergu Pb-Zn deposit need to be answered through considering the controlling dynamic processes and mechanisms in a strictly scientific manner [19][20][21][22][23][24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%