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Thermal Conductivity of Porous Media. I. Unconsolidated Sands

Woodside, W., Messmer, J. H.·1961·Journal of Applied Physics

Abstract

The problem of determining the effective thermal conductivity of a two-phase system, given the conductivities and volume fractions of the components, is examined. Equations are described which have been proposed as solutions to this problem, including those of Maxwell, de Vries, and Kunii and Smith, the weighted geometric mean equation, and an equation based on a three-element resistor model found applicable to the analogous electrical conductivity problem. Experimental results are presented for five unconsolidated samples: three quartz sand packs, a glass bead pack, and a lead shot pack. The method of conductivity measurement using the transient line heat source (thermal conductivity probe) is described. Data are reported showing the variation of effective thermal conductivity with porosity, solid particle conductivity, saturating fluid conductivity, and the pressure of the saturating gas. From considerations based on the kinetic theory of gases, it is shown that the characteristic dimension of the pore space, with respect to heat conduction in the gas occupying this space, is smaller than the mean particle diameter by a factor of roughly 100. The thermal conductivity equations which best represent the observed data are those of de Vries, and Kunii and Smith, and a slightly modified version of the resistor model equation.

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Metadata

Authors
Woodside, W., & Messmer, J. H.
Venue
Journal of Applied Physics
Published
1961-09-01
Volume
32
Issue
9
Pages
1688-1699
ISSN
  • 0021-8979 (ISSN-L)
  • 1089-7550
OpenAlex
W2091021867
Cited by
934
References
0
FWCI
7.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Thermal Conductivity of Porous Media. I. Unconsolidated Sands. https://app.cochat.ai/papers/10.1063/1.1728419
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Woodside, W., & Messmer, J. H. (1961). Thermal Conductivity of Porous Media. I. Unconsolidated Sands. Journal of Applied Physics. https://doi.org/10.1063/1.1728419

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.