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For over a century, hydrogeologists have estimated hydraulic conductivity (
K
) from grain-size distribution curves. The benefits of the practice are simplicity, cost, and a means of identifying spatial variations in
K
. Many techniques have been developed over the years, but all suffer from similar shortcomings: no accounting of heterogeneity within samples (i.e., aquifer structure is lost), loss of grain packing characteristics, and failure to account for the effects of overburden pressure on
K
. In addition,
K
estimates can vary by an order of magnitude between the various methods, and it is not generally possible to identify the best method for a given sample. The drawbacks are serious, but the advantages have seen the use of grain-size distribution curves for
K
estimation continue, often using a single selected method to estimate
K
in a given project. In most cases, this restriction results from convenience. It is proposed here that extending the analysis to include several methods would be beneficial since it would provide a better indication of the range of
K
that might apply. To overcome the convenience limitation, an Excel-based spreadsheet program, HydrogeoSieveXL, is introduced here. HydrogeoSieveXL is a freely available program that calculates
K
from grain-size distribution curves using 15 different methods. HydrogeoSieveXL was found to calculate
K
values essentially identical to those reported in the literature, using the published grain-size distribution curves.