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Asymmetric pore throat size histogram is indicative of bimodality due to microporosity.
Mercury injection data permit the calculation of the pore throat size distribution within a particular sample.
The mercury injection data show that two families of pore throat size exist (Fig. 7).
Both properties are sensitive to pore and throat size, connectivity and geometries.
The model assumes a good correlation between porosity, pore throat size and pore connectivity.
The damage increased if the pore throat size increased in high permeability rocks.
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We also calculate pore-throat size distribution from mercury intrusion.
Results show that two Berea sandstone permeability ranges have a bimodal pore-throat-size distribution whereas the other two were dominated by a unimodal pore-throat size distribution.
It is shown that the pore-throat size distribution density functions of the sample in different analysis scales are lognormal.
Open image in new window Fig. 1 Typical capillary curve and lognormal distribution of pore-throat size.
Martin et al. (2007) determined the pore-throat size distribution in plugs by using the centrifuge as a tool.
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