2013
DOI: 10.1002/ggge.20103
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Prediction of silicate melt viscosity from electrical conductivity: A model and its geophysical implications

Abstract: [1] Our knowledge of magma dynamics would be improved if geophysical data could be used to infer rheological constraints in melt-bearing zones. Geophysical images of the Earth's interior provide frozen snapshots of a dynamical system. However, knowledge of a rheological parameter such as viscosity would constrain the time-dependent dynamics of melt bearing zones. We propose a model that relates melt viscosity to electrical conductivity for naturally occurring melt compositions (including H 2 O) and temperature… Show more

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Cited by 19 publications
(29 citation statements)
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“…Because the self-diffusion coefficients of the ions in the melt increase with the temperature, the viscosity is negatively correlated with the temperature when the electrical conductivity is positively correlated to it. Therefore, one recovers the well-known result that, at a given pressure, and are negatively correlated with each other (Pfeiffer, 1998;Harris, 2010;Pommier et al, 2013). However, the quantification of this correlation with the help of an analytical expression is difficult for silicate melts because the viscosity is mainly governed by the least mobile ions (network formers) whereas the electrical conductivity is governed by the most mobile ones (network modifiers).…”
Section: Discussionmentioning
confidence: 68%
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“…Because the self-diffusion coefficients of the ions in the melt increase with the temperature, the viscosity is negatively correlated with the temperature when the electrical conductivity is positively correlated to it. Therefore, one recovers the well-known result that, at a given pressure, and are negatively correlated with each other (Pfeiffer, 1998;Harris, 2010;Pommier et al, 2013). However, the quantification of this correlation with the help of an analytical expression is difficult for silicate melts because the viscosity is mainly governed by the least mobile ions (network formers) whereas the electrical conductivity is governed by the most mobile ones (network modifiers).…”
Section: Discussionmentioning
confidence: 68%
“…The simulation data give some clues concerning the relationship between viscosity and electrical conductivity, a relationship which, among other things, can be useful to improve the interpretation of magnetotelluric data (Pommier et al, 2013). Because the self-diffusion coefficients of the ions in the melt increase with the temperature, the viscosity is negatively correlated with the temperature when the electrical conductivity is positively correlated to it.…”
Section: Discussionmentioning
confidence: 99%
“…See text for details. Optical Basicity calculated using Pommier et al []. Pr et al: Presnall et al []; WW: Waff and Weill []; RM: Rai and Manghnani []; K et al: Kawahara et al []; TW: Tyburczy and Waff [, ]; LT: Li and Tomozawa []; S et al: Simonnet et al []; G: Gaillard []; P et al: Pommier et al [, ]; N et al: Ni et al [, ]; No et al: Noritake et al [].…”
Section: Electrical Conductivity Of Peridotites During Partial Meltinmentioning
confidence: 99%
“…In silicate melts, network modifying cations (e.g., Mg 2+ , Ca 2+ , Fe 2+ , Na + , K + , and H + ) are considered as bases (electron donors) and network forming cations (Si 4+ and Al 3+ ) as acids (electron receivers). The interested reader is referred to Pommier et al [] for details regarding the Optical Basicity calculation for silicate melts and its effect on electrical conductivity.…”
Section: Electrical Conductivity Of Peridotites During Partial Meltinmentioning
confidence: 99%
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