3. 1. Early Electric Log Interpretation
2. Formation Factor
3. Water saturation
4. The Porosity Exponent, m
5. The Saturation Exponent, n
6. A Thought Experiment For A Logging
Application
4.
5. usefulness of measuring
the resistivity of earth formations
the water saturation Sw
Is the desired petrophysical parameter
from resistivity measurements
In this lecture the empirical basis
for the interpretation of resistivity measurements is reviewed.
For many years, at the outset of well logging,
it was not possible to address
the water saturation question any more precisely than
whether the resistivity of a formation was high or low.
It was through the work of Leverett and Archie
that it became possible to be more quantitative about
the interpretation of a formation resistivity measurement and
to link resistivity to
formation water resistivity, porosity (ϕ), and water saturation (Sw)
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 5
6. a log of SP and formation resistivity
made prior to 1935
The scale “Ohms
m3” presumably
refers to
ohm-m.
It seems
possible, noting
the higher
resistivity,
that zone a-A
contains more
oil
(has a lower Sw)
than zone B-b.
But how can
this be
verified?
An early resistivity-SP log.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 6
7. Early SP log interpretation
The “standard”
procedure at the time
[for verification] was
to take a core sample,
representative of the
zones in question, and
to make laboratory
measurements of
its resistivity under
different conditions of
water saturation.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 7
Resistivity measurements of
two core samples as a function of
water saturation
for use in electric log interpretation.
8.
9. Leverett experiments
M. C. Leverett was conducting experiments
with unconsolidated sands,
to determine
the relative permeability of oil and water (Kro & Krw)
as a function of the water saturation (Sw).
As a by-product of his research,
he measured the conductivity of
the material in a sample chamber,
after a calibration of the system constant,
in order to conveniently determine the fraction of
kerosene and water in his permeable samples.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 9
11. Archie experiments
Shortly after the publication of Leverett’s work,
G. E. Archie of Shell
was making electrical measurements on core samples,
with the aim of
relating them to permeability.
His measurements consisted of
completely saturating core samples
with saltwater of known resistivity Rw and
relating the measured resistivity Ro of
the fully saturated core to the resistivity of the water.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 11
12. Relation between water resistivity
(Rw) and formation resistivity (Ro)
Archie found that,
regardless of the resistivity of the saturating water,
the resultant resistivity of a given core sample
was always related to the water resistivity (Rw)
by a constant factor F.
He called this the formation factor,
and his experiments are summarized by the following relation:
Next slide is an example of Archie work on cores
from two different locations.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 12
13. the formation factor F vs. k and,
almost as an afterthought, porosity, ϕ
Examples of
Archie
attempts to
correlate
the electrical
F
with K and ϕ
for water-
saturated rock
samples from
two regions.
F vs. K and phi (phi on a much compressed scale)
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 13
14. A summary of an exhaustive set of
measurements of formation factor
Although Archie
was searching
for a correlation
with K, he finally
admitted that
a generalized
relationship
between F and
K did not exist,
although one
seemed to exist
for porosity.
His summary
graph shows
the
hopelessness of
a F/k correlation.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 14
15. formation factor calculation
However it indicates that the F is a function of ϕ and
can be expressed as a power law of the form:
the exponent m is very nearly 2 for the data considered.
This empirical observation can be used
to describe the variation in F for
a fixed water resistivity when the ϕ changes:
the lower the porosity, the higher the resistivity will be.
The exponent m was soon named
the cementation exponent, as it was observed
to increase with the cementation of the grains.
In general, it was recognized that m increased
with the tortuosity of the electric path
through the pore space.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 15
16.
17.
18. A synthesis of various
resistivity/saturation experiments
The practical application
of resistivity
measurements
is for the determination
of water saturation (Sw).
This was made possible
by another observation
of Archie.
He noticed that the data
of Leverett and others
could be conveniently
parameterized after
having plotted the data in
the form shown in Figure.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 18
19. water saturation vs. relative resistivity
On log–log paper, the data of
water saturation versus relative
resistivity plotted as a straight line,
suggesting a relationship of the
form:
The exponent n,
called the saturation exponent,
is very nearly 2 for the data
considered.
From this, an approximate
expression for the Sw is:
However,
the fully saturated resistivity Ro
(which is not usually accessible in
formation evaluation), can be
related to the water resistivity. So:
and with the porosity dependence,
the final form is:
which can be used for purposes of
estimation.
However, a more general form, is:
the constants a, m, and n need to
be determined for the particular
field or formation being evaluated.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 19
20. interpret a resistivity measurement in
terms of water saturation (Sw)
in order to interpret
a resistivity measurement
in terms of water saturation (Sw),
two basic parameters need to be known:
the porosity φ and
the resistivity of the water
in the undisturbed formation (Rw).
As a starting point,
the value of the water resistivity Rw needs to be estimated.
• This can be done in water zones (resistivity logs).
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 20
21. Example of interpretation of resistivity
measurement in terms of Sw
the value of the water resistivity Rw
needs to be estimated.
From zone D’ or zone C’ (water zones)
the porosity is about 28 p.u.
so F is 1/(0.28)^2, or 12.8
the apparent resistivity = 0.2 ohm-m
which is assumed to be
the fully water-saturated resistivity Ro,
water resistivity = 0.2/12.8= 0.016 ohm-m
the increase in deep resistivity in
zone C to about 4 ohm-m
correspond to a decrease in Sw
compared to zone C’
the porosity is constant at 28 p.u.
The saturation in zone C:
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 21
22. Example of interpretation of resistivity
measurement in terms of Sw (Cont.)
zone of hydrocarbon (A) indicates
the same resistivity as zone C.
in zone A the porosity is much lower
and can be estimated about 8 p.u.
Thus F in zone A is 1/(0.08)2, or 156
If it were water-filled,
the resistivity would be expected
to be about 2.5 ohm-m compared
to the 4 ohm-m observed.
Thus the zone may contain
hydrocarbons, but the water
saturation can be expected to be
higher than in zone C.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 22
23. Effective parameters
As Archie was aware,
his equations worked well in
rocks that have simple, uniform pore systems
filled with saline water.
Rocks with
heterogeneous-pore systems,
multiple-conduction mechanisms,
or that are oil-wet need a more complete solution.
The problems can be considered
with reference to Archie’s three equations:
the relation to porosity (m),
the relation to Sw (n),
and the definition of formation factor (F)
is mainly an issue of clay conductivity
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 23
24.
25. The Porosity Exponent, m
Although Archie could fit
his data with
a single parameter, m,
in general a fit of F vs. φ
throughout a reservoir will
require two parameters,
a and m.
In practice the error
caused by fitting with one
parameter is often small.
In either case it would be
better
if the variations
[of a and m]
through the reservoir
could be related to some
physical property,
rather than relying on
a general average.
Early efforts focused on
finding a relation with
porosity,
the idea being that as
porosity decreased it was
likely that the tortuosity,
and hence m, increased.
Many relations were
developed
but proved to be specific
to particular reservoirs or
areas, and
not generally applicable.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 25
26. the total effective m
in a fractured reservoir
Clearer relations can be obtained
if the reservoir contains vugs or fractures.
Fractures offer a straight path for current,
with minimum tortuosity.
in a fractured reservoir,
if we can measure
the proportion of porosity due to fractures and
if we assume that
the conductive paths through the fractures and
the intergranular porosity
are in parallel, with no interaction between them,
we can calculate the total effective m.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 26
27. Methods of m Calculation
More generally,
whatever the cause of the variations in m,
m can be measured directly
from resistivity and porosity in a water zone, and then
assumed to be the same in the hydrocarbon zone.
Alternatively,
if the water saturation can be measured
by another means in addition to resistivity,
One such method
uses dielectric measurements in the invaded zone.
then either m or n can be calculated
from Archie’s equation.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 27
28.
29. saturation exponent measurement
It takes much longer to complete
the type of experiment that
leads to the saturation exponent (n)
than to measure m.
Each core sample must be measured
at several saturation states.
Displacing water with oil or gas takes time,
especially in low permeability samples.
Unlike m,
it is not possible to derive n from logs in a water zone.
As a result there is much less data on n, and
values other than 2 are less often used.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 29
30. condition in which
n can be significantly different than 2
However, laboratory experiments
have highlighted some conditions in which
n can be significantly different than 2.
The first is related to wettability.
in an oil-wet cores
• the oil coats the grains and starts blocking the pore throats
when even small volumes are introduced.
• The result is a sharp increase in resistivity and a high n
• So n values much larger than 2
In a water-wet core
• the water coats the grains and
provides a continuous conduction path down
to water saturations of 20% or less.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 30
32. The Saturation Exponent in
carbonates
Carbonates are particularly
heterogeneous, and also more likely to be oil-wet,
so that the relation between
resistivity and Sw is likely to be complicated,
with n not equal to 2 and also varying with saturation.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 32
33.
34. setup for measuring the resistivity of a
homogeneous formation
It consists of
a current source of intensity
and a voltage-measurement
electrode M
at some distance r
from the current emission
at point A.
The resistivity of the
homogeneous medium is
Rt, so its conductivity σ is
given by σ = 1/Rt .
(Conductivity is usually
written as σ in measurement
physics, and
as C in log interpretation.)
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 34
35. determining formation resistivity
the value of Rt is found to be:
The setup can be considered as a rudimentary
monoelectrode measurement device for
determining formation resistivity.
For this device the tool constant k is seen to be 4πr ,
where r is the spacing between
the current electrode and the measurement point.
Knowing the injected current and
the resultant voltage,
the resistivity of the homogeneous medium Rt
may then be found.
Spring14 H. AlamiNia Well Logging Course (2nd Ed.) 35
36. 1. Ellis, Darwin V., and Julian M. Singer, eds. Well
logging for earth scientists. Springer, 2007.
Chapter 4
37. 1. Unfocused Devices:
A. The Short Normal
B. Estimating the Borehole Size Effect
2. Focused Devices:
A. Laterolog Principle
B. The Dual Laterolog