This article is based on
Chapter 8 of "The Log Analysis Handbook" by E. R. Crain, P.Eng., published by Pennwell Books 1986 Updated 2004,
webpage version is the copyrighted intellectual
property of the author.
Do not copy or distribute in any form without explicit
Water ZONE BASICS
Back calculation of RW@FT from log data in a clean (non shaly)
zone - usually called the Rwa method, or the water zone method,
or the Ro (or
R0) method, is commonly used when obvious water zones exist near the
zone of interest.
In this method, we assume SWa = 1.00, then rearrange the
Archie equation to solve for apparent water resistivity Rwa.
This can be done over many relatively clean intervals and
the lower Rwa values selected as RW@FT. Comparison to lab data in nearby wells or a water
catalog is a useful quality control measure.
RW from a Water Zone
following algorithm is used to back calculate water resistivity
from a known water zone.
1: Rwa = RW@FT = (PHIt ^ M) * RESD / A
2: Rmfa = RMF@FT = (PHIt ^ M) * RESS / A
3: Rmca = RMC@FT = 2.0 * RMF@FT
A = tortuosity exponent (unitless)
M = cementation exponent (unitless)
PHIt = total porosity found by log analysis (fractional)
RESD = deepest resistivity log reading (ohm-m)
RESS = shallowest resistivity log reading (ohm-m)
RMC@FT = mud cake resistivity at formation temperature (ohm-m)
RMF@FT = mud filtrate resistivity at formation temperature (ohm-m)
RW@FT = water resistivity at formation temperatures (ohm-m)
Use this relationship if no measured values of RW are available
and only if data from a clean water zone can be found. A nomographic
solution is given below.
method is often called the Rwa method
should be greater than 0.06.
that results are at the formation temperature. To compare these
values to catalog values at 25 degrees Celsius, use the temperature
transformation from the previous algorithm or the nomograph
carbonates A = 1.00
M = 2.00
N = 2.00 (Archie Equation as first published)
for sandstone A = 0.62
M = 2.15
N = 2.00 (Humble Equation)
A = 0.81 M = 2.00 N = 2.00 (Tixier Equation -
simplified version of Humble Equation)
N is often lower than 2.0
quick analysis use carbonate values. Values for local situations
should be developed from special core data. Results will always
be better if good local data is used instead of traditional values,
such as those given above.
Asquith (1980 page 67) quoted other authors, giving values for A
and M, with N = 2.0, showing the wide range of possible values:
Average sands A = 1.45 M = 1.54
A = 1.65 M = 1.33
A = 1.45 M = 1.70
A = 0.85 M = 2.14
Pliocene sands S.Cal. A = 2.45 M = 1.08
A = 1.97 M = 1.29
A = 1.00 M = 2.05 - PHIe
Water resistivity from water zone data (Rwa Method)
1. Assume data for water zone
Sand A Sand B Sand
C Sand D
6 0 40 0.3 0.5
PHIt 0.33 0.14 0.30 0.11
A = 0.62
M = 2.15
RW@FT 0.89 0.94 0.036 0.007
RW@FT = Rwa = (0.33 ^ 2.15) * 6.0 / 0.62 = 0.89
RW@FT values represent the first approximation to a value of water
resistivity for each of the four zones. The value for Sand D is
not very realistic, and a better one will be found later when
we look at shale corrections.