Use of Mercury Intrusion Data, Combined with Nitrogen Adsorption Measurements, as a Probe of Pore Network Connectivity

Abstract

The coordination number of the pore network of a mesoporous solid can be determined from its nitrogen adsorption and desorption isotherms, using an analysis method based on percolation theory. However, measurement of these isotherms is time-consuming and problematical very close to the bulk condensation pressure of nitrogen. In this paper, we demonstrate that mercury intrusion and nitrogen desorption share the same mechanism so that the mercury intrusion curve can be used in place of the nitrogen desorption isotherm in the connectivity analysis.

The Influence of Mercury Contact Angle, Surface Tension, and Retraction Mechanism on the Interpretation of Mercury Porosimetry Data

“…The pore connectivities of the materials studied here are possibly quite low. For example, a combined percolation analysis (24,38) of the pore size distributions obtained by mercury intrusion and nitrogen adsorption for sample S1, shown in Fig. 16, gives estimates of pore connectivity and lattice size of 3.4 and 7, respectively.…”

Impact of Effective Pressure on Threshold Pressure of Kazusa Group Mudstones for CO₂ Geological Sequestration

“…However, if not measured specially, the angle of 130°is most likely to be a suitable angle in cement-bonded materials such as rocks because this angle was being widely accepted by cement and concrete researchers. 13) In fact, for cementbonded materials, Kaufmann et al 14) has conducted the work on the basis of 130°angle as well as the optimized angle (134°) obtained by Murray et al (1999). 15) …”

“…13) In fact, for cementbonded materials, Kaufmann et al 14) has conducted the work on the basis of 130°angle as well as the optimized angle (134°) obtained by Murray et al (1999). 15) …”

Random Trajectory Modeling of Limited-Volume Percolation in a Microporous Structure

“…[12] [14] where f min , f max , V min , V max are the limits of spectra of the fractal dimensionality and fractal volume of the porous structure, respectively; Q 0 is the normalization coefficient, D(V, f ) is the characteristic volume of a cluster having fractal dimensionality f and volume V , and ψ(V, f ) is distribution function of clusters in volume and fractal dimensionality (6).…”