Electrical conductivity, induced polarization, and permeability of the Fontainebleau sandstone

By André Revil, P. Kessouri, C. Torres‐Verdín. 2014

155 citations recorded by the source corpus.

The electrical conductivity of clay-free sandstones is customarily assumed to have negligible surface conductivity contribution. The Fontainebleau sandstone, a clean sandstone with relatively coarse (∼250 μm) and well-rounded silica grains and silica cement, exhibits surface conductivity along the electrical double layer coating the surface of the grains. A recently developed volume-averaging model for the electrical conductivity was used to determine intrinsic formation factor and surface conductivity from electrical conductivity measurements performed at seven salinities with NaCl solutions. The bulk tortuosity of the pore space influenced the surface conductivity in a predictable way. Formation factor and permeability can be determined as a function of the porosity using the equations developed by Archie for the formation factor, and Revil and Cathles for the permeability. In both the cases, the data emphasize the existence of a percolation threshold of about 0.02 (2%) in porosity. Once corrected for the effect of this percolation threshold, the porosity exponent of Archie’s equation was approximately equal to 1.5 as predicted from the differential effective medium theory for a pack of spherical grains suspended in an electrolyte. We illustrated that permeability can be predicted, within one order of magnitude, from surface conductivity, porosity, and formation factor. Spectral-induced polarization data indicated that the in-phase conductivity was nearly frequencyindependent (in the frequency range from 1 to 10 kHz) whereas the quadrature conductivity displayed a relationship between the surface conductivity and a peak frequency likely related to the pore throat size determined from mercury porosimetry measurements.

Subfields: Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/580cdd820cb6475cc826456599e343afd559e8c5

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In Geophysics

  1. André Revil
  2. Nicolas Florsch
  3. Marios Karaoulis
  4. A. Binley
  5. L. Slater
  6. P. Glover
  7. M. Skold

In Ocean Engineering

  1. André Revil
  2. Nicolas Florsch
  3. Marios Karaoulis
  4. L. Slater
  5. P. Glover
  6. M. Skold

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