2014
DOI: 10.1134/s1069351314040181
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The porosity trend and pore sizes of the rocks in the continental crust of the earth: Evidence from experimental data on permeability

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Cited by 12 publications
(18 citation statements)
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“…In general, porosity decreases with increasing lithostatic pressure, which closes pore spaces, cracks, and fractures. Vitovtova et al (2014), for example, estimate Earth's mantle porosity at a few percent at a depth of 10 km, decreasing to 0.01-0.1% at 35 km. The trend can be more complex.…”
Section: Rock Porositymentioning
confidence: 99%
“…In general, porosity decreases with increasing lithostatic pressure, which closes pore spaces, cracks, and fractures. Vitovtova et al (2014), for example, estimate Earth's mantle porosity at a few percent at a depth of 10 km, decreasing to 0.01-0.1% at 35 km. The trend can be more complex.…”
Section: Rock Porositymentioning
confidence: 99%
“…Experimental tests show that voids are closed at pressure larger than 250 MPa [Kern, 1990], unless fluids fill the voids. We test porosity effects on our results by applying empirical laws to model its depth variation [Vitovtova et al, 2014] and influence on compressional wave velocities [Wyllie et al, 1958].…”
Section: Crustal Composition and Calculation Of Physical Propertiesmentioning
confidence: 99%
“…In doing this, we increase the seismically inferred velocities to the values expected for rock that is a pore‐free mineralogical aggregate, which is the underlying approximation in thermodynamic modeling. Porosity as a function of depth is estimated with the empirical, quadratic formula in Vitovtova et al (): logϕ=0.650.16h+0.0019h2 where ϕ is the porosity (%)and h the depth in kilometers. Porosity at depth is then used to correct the observed shear wave velocities using the empirical relation V Scorr = V S +7.07 ϕ in Castagna et al ().…”
Section: Methodsmentioning
confidence: 99%
“…In doing this, we increase the seismically inferred velocities to the values expected for rock that is a pore-free mineralogical aggregate, which is the underlying approximation in thermodynamic modeling. Porosity as a function of depth is estimated with the empirical, quadratic formula in Vitovtova et al (2014):…”
Section: Thermodynamicsmentioning
confidence: 99%