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The goal ofmIt is to convert The log
evaluation's O is anda*Rw? In the log evaluation's estimation ofRo(Water
saturated formation resistanceivity) Not the core analysis versionRoOr
the "true"Ro. This log analysis is used to determine the
reservoir saturation.mIt is an internal log analysis parameter. It fails to produce RoIt
is not suitable for use and is incorrect in the real world. Because the laboratory scale is cm, the scale of the Rt logged,
which it will be used with, is metre, or possibly dm, the laboratory is not a
good analogy for in-situ conditions. Log
analysis "equations” assume that inputs came from the same piece, but they
may not have if the inputs are different. SCAL
is a perfect example of this. mLogging RtIn heterolithic facies.
Certain water zones (Sw100 from side-walls cuttings and
the chromatograph) span a range O in rocks of similar rock types (similar O-k
Crossplots). We have access to log data's actual Ro and m values - what we
require. We ignore
Nature's reservoir conditions m laboratory, and instead try to create reservoir
conditions within the laboratory. Why? This faith in core data is a mistake.
Focus on the actual data used in the evaluation and
consider the objectives of each step.
Saturation Exponent n.
Converting is the objective of n The log evaluation's
value for Ro/Rt into the actual reservoir Sw. As heterogeneity grows,
the log evaluations metre-scale estimate of Rt/Ro differs from the lab's
cm-scale measurement. The n definition
plot is used to determine the value of n. It is commonly found in core analysis
reports. It shows that n is the slope of Log(Sw vs. log(Rt/Ro). This plot is typically populated with core data, but the
Rt/Ro scale for the log data that will be used in the evaluation is not taken
into account. Log analysis is prone to
erroneous answers.
The n definition plot can work more efficiently if you
consider the objective and concentrate on the data that will be used for the
evaluation. This author
uses sensible data to determine n. This is
Not Unless we have the opportunity to deal with homogeneous
"blockysand" at a metre scale, core data is only available at cm
scale.
Do not be deceived into believing that you know the right
answer for m or n because you have done core SCAL analysis. Think.
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