Archie's law – a reappraisal
When scientists apply Archie's first law they often include an extra parameter <i>a</i>, which was introduced about 10 years after the equation's first publication by Winsauer et al. (1952), and which is sometimes called the “tortuosity” or “lithology” parameter. This parameter...
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-07-01
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Series: | Solid Earth |
Online Access: | http://www.solid-earth.net/7/1157/2016/se-7-1157-2016.pdf |
Summary: | When scientists apply Archie's first law they often include an extra
parameter <i>a</i>, which was introduced about 10 years after the equation's first
publication by Winsauer et al. (1952), and which is sometimes called
the “tortuosity” or “lithology” parameter. This parameter is not,
however, theoretically justified. Paradoxically, the Winsauer et
al. (1952) form of Archie's law often performs better than the
original, more theoretically correct version. The difference in the
cementation exponent calculated from these two forms of Archie's law is
important, and can lead to a misestimation of reserves by at least 20 %
for typical reservoir parameter values. We have examined the apparent
paradox, and conclude that while the theoretical form of the law is correct,
the data that we have been analysing with Archie's law have been in error.
There are at least three types of systematic error that are present in most
measurements: (i) a porosity error, (ii) a pore fluid salinity error, and
(iii) a temperature error. Each of these systematic errors is sufficient to
ensure that a non-unity value of the parameter <i>a</i> is required in order to
fit the electrical data well. Fortunately, the inclusion of this parameter in
the fit has compensated for the presence of the systematic errors in the
electrical and porosity data, leading to a value of cementation exponent that
is correct. The exceptions are those cementation exponents that have been
calculated for individual core plugs. We make a number of recommendations for
reducing the systematic errors that contribute to the problem and suggest
that the value of the parameter <i>a</i> may now be used as an indication of data
quality. |
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ISSN: | 1869-9510 1869-9529 |