acquire permeability values at varying void ratios. Multiple flow tests were conducted at
each void ratio. McKieman and Saffer (2005) performed flow through permeability tests
on samples that were 2cm tall and 5cm in diameter of ODP Leg Sites 1253, 1254 and
1255. During flow tests, fresh water was pumped into the top of the sample at a constant
rate while pressure was maintained at the cell base. The pressure difference was
determined by monitoring the pressures at the top of the cell during each flow rate.
Varying flow rates were used to produce varying pressure difference across the sample.
Distilled, de-aired water was used both as the permeant and confining fluid.
Screaton et al. (2005) used constant flow permeability tests and constant pressure
difference tests on samples from ODP Leg 170 Sites 140 and ODP Leg Sites 1253 and
1255. Testing conditions were the same as described in Gamage and Screaton (2003) and
Gamage et al. (2005). The only exception to this method was using a constant pressure
difference to induce flow through the sample rather than applying a constant flow rate for
several of the samples.
Permeability-Porosity Relationship
Bryant et al. (1975) and Neuzil (1994) observed that permeability of argillaceous
sediments follows a log-linear relationship with porosity. The log linear relationship is
given by
log (k)= log (ko)+bn (2)
where ko is the projected permeability at zero porosity, b is a parameter describing the
rate of change of the logarithm of permeability with porosity, and n is the porosity.
Description of Statistical Methods
The coefficient of correlation (R2) of the regression equation describes the
variability of the estimates around the mean. However, it inherits the problem of small