CHAPTER
THIRTY: FRACTURED
RESERVOIRS 3
Dual Porosity Model
Table
of Contents
30.00 Introduction To This Chapter
30.01 Definition of Fractures
30.02 Basic Resistivity Concepts in Fractured
Reservoirs
30.03 The Double Porosity Model in Fractured
Reservoirs
30.04 Water Saturation in the Double Porosity
Model
30.05 Case Histories: Fracture Analysis
30.06 In Conclusion
30.07 Exercises for Chapter Thirty
30.08: Bibliography for Chapter Thirty
Related
Topics - Strongly Recommended
Chapter Twenty-Eight: Fracture Identification
Chapter Twenty-Nine: Simple Quantitative
Models
Continue
to Chapter Thirty-One
Publication
History: This Chapter is an updated version of part of Chapter
Nine of The Log Analysis Handbook Volume Two, originally self-published
in 1990 as a seminar handout and workbook.
CHAPTER
THIRTY: FRACTURED
RESERVOIRS 3
Dual Porosity Model
30.00
Introduction To This Chapter
Natural fractures in reservoir rocks contribute significantly
to productivity. Therefore, it is important to glean every scrap
of information from open hole logs to locate the presence and
intensity of fracturing. The use of conventional open hole logs
for fracture location and fracture intensity calculations was
covered in Chapter Twenty-Eight and
Chapter Twenty-Nine. This Chapter
deals with the dual porosity model as defined by Dr Roberto Aquilera
in his original paper. Dr Aquilera has also published a hard cover
textbook on the dual porosity model and fractured reservoirs in
general. Students should review his material to augment this Chapter,
which is briefer than the original material.
This
Chapter contains some amplified or re-defined terminology that
contrasts with some of Dr Aquilera’s definitions. Please
be aware of these differences when reading both works.
Naturally
fractured reservoirs contain secondary or induced porosity in
addition to their original primary porosity. Induced porosity
is formed by tension or shear stresses causing fractures in a
competent or brittle formation. Fracture porosity is usually very
small. Values between 0.0001 and 0.001 of rock volume are typical
(0.01% to 0.1%). Fracture-related porosity, such as solution porosity
in granite or carbonate reservoirs, may attain much larger values,
but the porosity in the actual fracture is still very small.
Fracture
analysis literature in the 1970’s suggested that fractures
might contribute as much as a few to several percent porosity.
More modern work using fracture aperture calculated from resistivity
micro-scanner logs indicates much lower numbers. To appreciate
this, consider fractures with 1 millimeter aperture spaced 1 meter
apart. This gives a porosity of 0.001 fractional (0.1%). This
is a very large open fracture. Most are only microns in width,
so even 10 fractures of 10 microns each only give 0.0001 fractional
porosity (0.01%.)
The
term “secondary porosity” also includes rock-volume
shrinkage due to dolomitization, porosity increase due to solution
or recrystalization, and other geological processes. “Secondary
porosity” should not be confused with “fracture porosity”.
Secondary porosity formed in this way can be determined from modern
log suites without difficulty (see Chapter
Seven), except for porosity formed by fractures, which is
too small to detect with conventional logs.
Fracture
porosity is found accurately only by processing the formation
micro-scanner curves for fracture aperture and fracture frequency
(also called fracture intensity or fracture density). All other
methods, including the well known “dual-porosity”
model, are extremely inaccurate. These models either over-estimate
fracture porosity by several orders of magnitude, or cannot be
applied because the log data does not fit the model (for example
when the sonic log skips, giving apparent porosity greater than
the density neutron crossplot porosity - a common occurrence on
older logs in fractured reservoirs).
The
effect of fracture porosity on reservoir performance, however,
is very large due to its enormous contribution to permeability.
As a result, naturally fractured reservoirs behave differently
than un-fractured reservoirs with similar porosity, due to the
relative high flow capacity of the secondary porosity system.
This provides high initial production rates, which can lead to
extremely optimistic production forecasts and sometimes, economic
failures when the small reservoir volume is not properly taken
into account.
Reservoir
simulation software that accounts for the fracture system is often
termed a “dual porosity” model. While this is strictly
true, it would be better to think of them as “dual permeability”
models, since the fracture permeability fed by the matrix or reservoir
permeability is far more important than the relatively small storage
capacity of the fractures compared to the matrix porosity. A reservoir
with only fracture porosity is quickly depleted; a decent reservoir
in the matrix rock feeding into fractures will last much longer.
In
order to understand the behavior of naturally fractured reservoirs,
estimates must be made of hydrocarbons-in-place within both the
primary (matrix rock) and secondary (fracture-only) porosity systems.
To do this, we must first be able to detect the existence of fractures.
Chapter Twenty-Eight covers fracture
detection from the usually available conventional logs. This Chapter
covers the method used to partition porosity into primary and
fracture components. The effect of this partitioning on the Archie
water saturation equation is also described.
30.01
Definition of Fractures
A fracture is a surface along which a loss of cohesion in the
rock texture has taken place. A fracture is sometimes called a
joint and, at the surface, are expressed as cracks or fissures
in the rocks. Figure 30.01 shows the prominent features of a fracture.
The orientation of the fracture can be anywhere from horizontal
to vertical. The rough surface separates the two faces, giving
rise to fracture porosity. The surfaces touch at points called
asperities.
Altered
rock surrounds each surface and infilling minerals may cover part
or all of each surface. Minerals may fill the entire fracture,
converting an open fracture to a healed or sealed fracture. The
altered rock close to the fracture surfaces may contain more porosity
than the unaltered host rock. Conversely, it could contain less
porosity due to infilling by precipitated minerals.

FIGURE 30.01: Fracture Porosity Definitions - Note the distribution
of Altered Rock that can contain “fracture-related”
porosity
Fractures
are caused by stress in the formation, which in turn usually derives
from tectonic forces such as folds and faults. These are termed
natural fractures, as opposed to induced fractures. Induced fractures
are created by drilling stress or by purposely fracturing a reservoir
by hydraulic pressure from surface equipment (see Chapter
Twenty). Both kinds of fractures are economically important.
Induced fractures may connect the wellbore to natural fractures
that would otherwise not contribute to flow capacity.
Natural
fractures are more common in carbonate rocks than in sandstones.
Some of the best fractured reservoirs are in granite - often referred
to as unconventional reservoirs. Fractures occur in preferential
directions, determined by the direction of regional stress. This
is usually parallel to the direction of nearby faults or folds,
but in the case of overthrust faults, they may be perpendicular
to the fault or there may be two orthogonal directions. Induced
fractures usually have a preferential direction, often perpendicular
to the natural fractures. A schematic diagram of these relationships
is shown above in Figure 30.01, bottom right.
A
fracture is often a high permeability path in a low permeability
rock, or it may be filled with a cementing material, such as calcite,
leaving the fracture with no permeability. Thus it is important
to distinguish between open and healed fractures. The total volume
of fractures is often small compared to the total pore volume
of the reservoir.
Most
natural fractures are more or less vertical. Horizontal fracture
may exist for a short distance, propped open by bridging of the
irregular surfaces. Most horizontal fractures, however, are sealed
by overburden pressure. Both horizontal and semi-vertical fractures
can be detected by various logging tools.
The
vertical extent of fractures is often controlled by thin layers
of plastic material, such as shale beds or laminations, or by
weak layers of rock, such as stylolites in carbonate sequences.
The thickness of these beds may be too small to be seen on logs,
so fractures may seem to start and stop for no apparent reason.
To
be an aid in production, fractures must be connected to a reasonable
hydrocarbon bearing reservoir with sufficient volume to warrant
exploitation. If there is no reservoir volume, a lot of fractures
won’t help much unless there is sufficient fracture related
solution porosity to hold an economic reserve. This can be determined
by normal log analysis techniques. In reasonable non-fractured
reservoirs, it is usually possible to estimate permeability, and
hence productivity (see Chapter Ten),
but this is not always possible in fractured reservoirs. Processing
of modern resistivity micro-scanner logs ha s given us the ability
to calculate both fracture porosity and permeability, but such
logs are rare and cannot be run in older wells.
Although
both the presence of fractures and the presence of a reservoir
can be determined from logs, a production test will be needed
to determine whether economic production is possible. The test
must be analyzed carefully to avoid over optimistic predictions
based on the flush production rates associated with the fracture
system. Local correlations between fracture intensity observed
on logs and production rate are also used to predict well quality.
Sometimes
the primary reservoir and the fracture system may be so poorly
connected that they are saturated with different fluids. Production
from fractures full of hydrocarbons in a water bearing formation
may initially be very good but very short lived. A more desirable
scenario is a primary reservoir with appreciable hydrocarbon saturation
and a fracture system that is full of water close to the borehole,
showing invasion and hence good permeability, but full of hydrocarbon
in the virgin formation.
Quantitative
analysis of fracture aperture is possible by further processing
of formation micro-imager conductivity data. The algorithm is
based on the concept that higher conductivity means a larger open
fracture. The fracture aperture and fracture frequency can be
combined to obtain fracture porosity and fracture permeability.
Quantitative
Fracture Calculations
1.
PHIf = 0.001 * Wf * Df * KF1
2: Kfrac = 833 * 10^11 * PHIfrac^3 / (Df^2 * KF1^2)
3: Kfrac = 833 * 10^5 * PHIfrac * Wf^2
4: Kfrac = 833 * 10^2 * Wf^3 * Df * KF1 |
|
Where:
KF1 = number of main fracture directions
= 1 for sub-horizontal or sub-vertical
= 2 for orthogonal sub-vertical
= 3 for chaotic or brecciated
PHIfrac = fracture porosity (fractional)
Df = fracture frequency (fractures per meter)
Wf = fracture aperture (millimeters)
Kfrac = fracture permeability (millidarcies)
Note:
Equations 2, 3, and 4 give identical results.
Example
1:
Df = 1 fracture per meter
Wf = 1.0 millimeters
PHIfrac = 0.001 * 1 * 1 = 0.001 fractional (0.1%)
Kfrac = 833 * 100 * 1^3 * 1 * 1 = 83300 millidarcies
Example
2:
Df = 10 fractures per meter
Wf = 0.1 millimeters
PHIfrac = 0.001 * 10 * 0.1 = 0.001 fractional (0.1%)
Kfrac = 833 * 100 * 0.1^3 * 10 * 1 = 833 millidarcies
These
examples represent well fractured reservoirs. You can see that
the volume of hydrocarbon in the fractures is very small but the
permeabilty is very high.
An
example of a fracture aperture log from a program called Frac-View
is shown in Figure 30.02. The permeability calculation was not
available in this program.

FIGURE 30.02: Fracture frequency, aperture, and porosity log
30.02
Basic Resistivity Concepts in Fractured Reservoirs
Quantitative analysis of fractured reservoirs is complicated by
the fact that other forms of porosity exist besides that contained
by the fractures. Thus a dual porosity model has been proposed
to account for both primary and secondary porosity. The theoretical
principles behind the dual porosity model have been published
previously in the literature by Aguilera and have been used by
others with some success in Mexico, Venezuela, the United States,
and Canada.
The
term "dual porosity" should not be confused with the
"dual water" model used for shaly formations. In addition,
the fractured reservoir literature uses the phrase "total
porosity" to mean the sum of effective matrix porosity plus
effective fracture porosity. This is very confusing as the phrase
has a different meaning in the shaly sand situation. Since there
are fractured shaly reservoirs where the distinction between total
and effective porosity is important, we will use the following
definitions.
Effective
porosity
PHIe = PHIm + PHIf Total
porosity
PHIt = PHIe + Vsh * BVWSH
|
WHERE:
PHIe = effective porosity of dual porosity system (fractional)
PHIm = effective matrix porosity in dual porosity system (fractional)
PHIf = effective fracture porosity of dual porosity system (fractional)
PHIt = total porosity of any rock (fractional)
Vsh = shale volume (fractional)
BVWSH = bound water in 100% shale (fractional)
Some
fracture literature also uses the term secondary porosity to mean
fracture porosity, whereas this term has been used by others to
describe the porosity not seen by the sonic log, usually some
portion of the vuggy porosity. We prefer to use secondary porosity
in its geological sense and use the term fracture porosity in
a strictly literal sense.
To
develop the dual porosity model, we invoke the basic Archie equations.
Archie’s
Laws
1: I = RESD / (F * RW@FT)
2: F = A / (PHIe ^ M)
Rearranged, these become the Pickett plot definition
3: RESD = F * RW@FT * I
4: RESD = (PHIe ^ (- M)) * (A * RW@FT) * I
5: log RESD = - M * log (PHIe) + log (A * RW@FT) + log (I)
|
WHERE:
A = tortuosity exponent (unitless)
F = formation factor (unitless)
I = resistivity index (unitless)
M = cementation exponent (unitless)
PHIe = effective porosity of dual porosity system (fractional)
RESD = true )deep) formation resistivity (ohm-m)
RW@FT = formation water resistivity (ohm-m)
Analysis
of equation 5 indicates that a crossplot of porosity vs resistivity
on log-log coordinate paper will result in a straight line with
a slope of -M for zones of constant water resistivity (A * RW@FT)
and constant resistivity index (I). A constant resistivity index
implies that the zone has constant water saturation (Sw), where
Sw = (1 / I) ^ (1 / N). This plot has been called the Pickett
plot and is widely used to find both A * RW@FT and M for water
zones and Sw for hydrocarbon zones in conventional reservoirs.
IMPORTANT:
This method is not suitable for shaly reservoirs as no shale term
is included in the Pickett plot (see Figure 30.03). Therefore,
be sure to exclude shale or shaly zones from a Pickett plot.

FIGURE 30.03: Porosity - resistivity crossplot (Pickett plot)
identifies M
For
reservoirs with fracture porosity, the value of M found from the
Pickett plot is smaller than the cementation exponent, M, determined
from a primary porosity sample in the laboratory, or estimated
from lithological descriptions, or from an un-fractured portion
of the reservoir. This is reasonable because fracture porosity
results in a reduction in tortuosity and cementation. In addition,
fractures can be invaded deeply by drilling fluids, thus reducing
RESD and the derived value of M from the crossplot. The lower
M may be compensating for invasion as much as for the fractured
nature of the rock. In any case, a lower value for M decreases
water saturation and this is needed whether the lower resistivity
is due to invasion or to lower cementation.
Values
of M from the Pickett plot in the range 1.2 to 1.7 can be expected
for fractured reservoirs, as opposed to 1.8 to 2.4 for the un-fractured
portion of the same rock. The laboratory measurement of M for
a well-fractured rock is seldom successful, so there is not much
real data to use, except in competent samples with minor micro-fractures.
We
can then redefine M to reflect these differences.
Definition
of Md and Mb
Md = cementation exponent for dual porosity model, found from
a Pickett plot
Mb = cementation exponent for un-fractured matrix rock, found
from laboratory measurement, a Pickett plot in an un-fractured
zone, or from assumption based on lithology
|
Choosing
Md and Mb
Normally,
Md is chosen once for each fractured interval from the Pickett
plot, but there is no reason to believe it is a constant because
fracture intensity varies dramatically from foot to foot within
the reservoir. It is clear on Figure 30.03 that every data point
could have a unique value of Md, assuming all are 100% wet.
A
method has been proposed by Rasmus whereby Md is calculated and
used at each level, thus providing a "variable M" method
throughout the zone. It is based on the sonic versus density neutron
porosity:
Rasmus
variable M
6: Md = log ((1 - (PHIe - PHIsc)) * (PHIsc ^ Mb) + (PHIe
- PHIsc)) / log PHIe
Thus
for un-fractured rock:
8: log RESD = - Mb * log (PHIe) + log (A * RW@FT) + log
(I)
And
for fractured rock:
9: log RESD = - Md * log (PHIe) + log (A * RW@FT) + log
(I)
|
The
derivation is rather lengthy and not shown here. A fracture tortuosity
term has also been omitted because it is often assumed to be 1.
This presumes that PHIe >= PHIsc and PHIsc has been adequately
corrected for lithology and shale. When there are no fractures,
PHIsc = PHIe and Md = Mb.
In
many cases, it is possible to carry out the evaluation by crossplotting
(DELT - DELTMA) vs RESD, or (DENS - DENSMA) vs RESD on log-log
paper instead of PHIe vs RESD. The sonic log method is not recommended
if vuggy porosity exists, because the sonic log does not see all
this porosity. Thus PHIsc will be too low and Md would be wrong.
Likewise, if PHIsc > PHIe, the method should be abandoned.
The
value of Md is determined by calculating the slope of the line
drawn through the south west points in the Pickett plot, which
are assumed to be water bearing levels. If no water bearing points
are available because there is no water zone in the fractured
interval, it is possible to make the plot by replacing RESD with
RESS, the shallow resistivity, based on the assumption that the
invaded zone will be more nearly 100% wet than the un-invaded
zone. The constant in the equation becomes (A * RMF@FT), but this
value is known as well or better than (A * RW@FT).
With
the value of Md determined from the crossplot or equation 6 and
Mb determined in the laboratory or estimated from lithology, it
is possible to complete the evaluation to quantify primary and
fracture porosities, as proposed by Aguilera.
30.03
The Dual Porosity Model in Fractured Reservoirs
The first assumption made is that matrix and fractures are connected
in parallel and 100 per cent saturated with formation water:
Aquilera’s
partitioning concept:
1: V = (PHIe - PHIm) / (PHIe * (1 - PHIm))
2: 1 / Rfo = V * PHIe / RW@FT + (1 - V) / Ro |
Since
it is the breakdown of PHIe into PHIm and PHIf that we are seeking,
the above equation cannot help us find V directly. A useful approximation
is:
A
practical partition factor
3: V = (PHIe - PHIsc) / PHIe
|
This
also assumes that PHIe >= PHIsc and that PHIsc is properly
corrected for lithology and shale.
Combining
equations 1 and 2 and the facts that Fd = Rfo / RW@FT and
F = Ro / RW@FT gives:
4: Fd = 1 / (V * PHIe + (1 - V) / F)
5: PHIm = (((PHIe ^ Md) - (V * PHIe)) / (1 - V)) ^ (1/Mb)
6. PHIf = PHIe - PHIm |
WHERE:
PHIe = effective porosity of dual porosity system (fractional),
usually taken equal to PHIxnd from density neutron crossplot
PHIm = effective matrix porosity in dual porosity system (fractional)
PHIf = effective fracture porosity of dual porosity system (fractional)
PHIsc = sonic porosity (fractional)
Rfo = composite system resistivity at 100% Sw (ohm-m)
Ro = primary porosity resistivity at 100% Sw (ohm-m)
RW@FT = formation water resistivity at formation temperature (ohm-m)
F = formation factor for matrix rock (unitless)
Fd = formation factor for dual porosity model (unitless) Md =
cementation exponent for dual porosity model, found from a Pickett
plot
Mb = cementation exponent for un-fractured matrix rock, found
from laboratory measurement, a Pickett plot in an un-fractured
zone, or from assumption based on lithology
V = partitioning coefficient (fractional)

FIGURE 30.04: Pickett plot, partition factor, and probability
graphs for Aguilera’s dual porosity model
Figure
30.04, top right, shows the graphical solution to Equation 5 for
various values of Mb. If, for example, Md is 1.4, Mb = 2.0, and
effective porosity (PHIe) is 0.04, then the partitioning coefficient
V is 0.26; thus, the fracture (-related) porosity (PHIf) is 0.0106
and the matrix porosity (PHIm) is 0.0294.
The
fracture porosity in this example is impossibly high. It must
contain some vuggy or solution (fracture-related) porosity
as well, so this method should be used with caution at all
times. |
To
compare this result to core analysis, we must find matrix porosity
from logs as a function of the matrix bulk volume (PHIcore), eliminating
the volume of the fractures:
Comparing
to core porosity
7: PHIcore = PHIm / (1 - PHIf) |
WHERE:
PHIcore = effective matrix porosity corrected to match core (fractional)
PHIm = effective matrix porosity in double porosity system (fractional)
PHIf = effective secondary porosity of double porosity system
(fractional)
For
example, if V is 0.26 and PHIe is 0.04, then fracture porosity,
PHIf, is 0.0106 and PHIm is 0.0294 as before, and:
PHIcore = 0.0294 / (1 - 0.0106) = 0.0297
NOTE:
If the partitioning coefficient V cannot be found from sonic versus
density neutron crossplot porosity, then equation 2 and 7 must
be solved iteratively.
Fracture
detection methods described in Chapter
Twenty-Eight require that the fractures intersect the borehole
and be invaded by mud of relatively low resistivity. This is not
the case with the method presented here. In some cases it has
been possible to detect fractures located within the radius of
investigation of the logging tools, but not intercepted by the
borehole.
RECOMMENDED
PARAMETERS:
Md is in the range 1.0 to 1.8
Mb is in the range 1.6 to 2.6
V is in the range 0.0 to 0.5
30.04
Water Saturation in the Dual Porosity Model
The average water saturation of the composite system is calculated
using a statistical parameter, P, originally introduced to the
oil industry by Porter, Pickett, and Whitman. Empirically, it
has been found that P has a normal distribution for intervals
which are 100 per cent saturated with water. Intervals with some
hydrocarbon saturation deviate from the normal distribution.
Calculating
P
For
sonic logs:
1: P = (RESD * (DELT - DELTMA) ^ Md) ^ (1/2)
For
density logs:
2: P = (RESD * (DENS - DENSMA) ^ Md) ^ (1/2)
If
effective porosity has been computed from density neutron
crossplot:
3: P = (RESD * (PHIe ^ Md) ^ (1/2)
|
WHERE:
DELT = sonic log reading (usec/ft or usec/m)
DELTMA = sonic matrix transit time (usec/ft or usec/m)
DENS = density log reading (g/cc or Kg/m3)
DENSMA = matrix density (g/cc or Kg/m3)
Md = cementation exponent for double porosity model, found from
a Pickett plot
P = statistical parameter (unitless)
PHIe = effective porosity of double porosity system (fractional)
RESD = deep resistivity log reading (ohm-m)
Figure
30.04, bottom left, shows a schematic of P vs cumulative frequency
on probability paper for a water and hydrocarbon system. The 100
per cent water saturated zones form a straight line, and the hydrocarbon
intervals deviate from this line and are thus easily recognized.
Figure
30.04, bottom right, shows the same type of plot for only the
water bearing intervals. The mean value of P for water zone, Pmean,
is determined from this graph at a cumulative frequency of 50
per cent. An arithmetic average of the P values from the water
leg is usually satisfactory, so the probability plot is not necessary.
Having
the mean value of P from the water zone allows us to calculate
the water saturation of the dual porosity system from the following.
Partitioning
water saturation
4: Swd = (Pwtr / Phyd) ^ (1/N)
5: Swf = (VISW * WOR) / (Bo * VISO + VISW * WOR)
6: Swe = (Swd - V * Swf) / (1 - V)
|
WHERE:
Bo = oil formation volume factor (vol/vol)
N = water saturation exponent (unitless)
Phyd = parameter P for each hydrocarbon zone (unitless)
Pwtr = mean value of P for water bearing intervals (unitless)
Swd = water saturation for the double porosity system (fractional)
Swe = water saturation for the matrix rock (fractional)
Swf = water saturation for the fracture (fractional)
VISW = water viscosity (cp)
VISO = oil viscosity (cp)
WOR = water/oil ratio, (vol/vol)
This
long evaluation process requires the reading, plotting, and crossplotting
of large volumes of data, and requires a large number of calculations.
This makes it an ideal computer application and hand calculation
is not recommended. A solution for a gas reservoir was never published.
In many cases Swf is assumed to be 0.0 (because WOR = 0)so this
assumption can be used for gas wells also.
NOTE:
This is essentially an "Rwa type" saturation method
and relies on the presence of a water zone. In the absence of
a water zone, an Archie water saturation solution (Swa) will have
to suffice, giving the equivalent of Swe. Swf is not derived from
log data. If parameters are unknown, start with VISW =1.0, VISO
= 2.0, WOR = 0.0, and Bo = 0.8. This makes Swf = 0.0 during production,
which is close to the truth.
Standard
Archie solution
7: Swa = (A * RW@FT / (PHIe ^ Md) / RESD) ^ (1/N)
|
WHERE:
A = tortuosity exponent (unitless)
Md = cementation exponent for matrix rock with fractures (unitless)
N = saturation exponent (unitless)
PHIe = effective porosity (fractional)
RESD = deep resistivity log reading (ohm-m)
RW@FT = water resistivity at formation temperature (ohm-m)
Swa = effective water saturation (fractional)

FIGURE 30.05: Dual porosity model results in a Williston Basin
well
RECOMMENDED
PARAMETERS:
If zone is not heavily fractured:
For sandstones:
A = 0.62
Mb = 2.15
N = 2.00
For
carbonates:
A = 1.00
Mb = 2.00
N = 2.00
If
zone is fractured:
Mb = 1.4 to 2.0
A = 1.00
N = 2.00
NOTE:
The symbol M is used elsewhere in this book as the cementation
exponent for the Archie equation. Mb is used here to indicate
the use of Archie for the fractured reservoir case.
Figure
30.05 shows the computed log results for a Williston Basin Mississippian
fractured zone. The contribution of fracture porosity is about
1% porosity, but water saturation is 5 to 10% lower than the analysis
without the fractures. The partitioning coefficient varies and
was solved by iteration.
30.05
Case Histories: Dual Porosity Fracture Analysis
**** Waiting on release of data from client
30.06
In Conclusion
Fractures are an important economic component in many reservoirs,
and may be the only socially redeeming factor in most tight reservoirs.
Fractures can be found in nearly all sedimentary basins and in
nearly all types of traps. Many are unsuspected until an anomalous
production test is run or a production history match fails on
a reservoir simulator.
Most
open hole logs show some indication of the fractures, although
the effect may be subtle, and hard to see. Some logs show fractures
better than others, and these should be run if fractures form
a significant fraction of the reservoir permeability.
Even
with the dual porosity model, it is difficult to quantify the
log response to fractures and thus their net effect on reservoir
quality is usually not well defined. The specific definitions
of porosity involved in the dual porosity model should be well
understood before using the method. In addition, accurate lithology
and shale corrections are required before the method can be applied.
Fracture porosity and permeability from resistivity micro-scanner
processing may be more useful and more illuminating than the “fracture-related”
porosity from the dual water model.
The
mere presence of fractures, however, is usually a good sign, unless
the fractures also penetrate the water leg of the pool. In this
case it is difficult to stop water from being produced with the
oil or gas. A good quantitative analysis of the porosity and water
saturation will help prevent completions too close to the water
contact.
30.07
Exercises for Chapter Thirty
Exercise 30.01: Dual Porosity Fracture Concepts
1. Define a fracture and its porosity components. Why are fractures
important? (5 marks)
2.
Contrast the definition of fracture porosity as used in the dual
porosity model with the definition used in this book. (5 marks)
3.
Describe the dual porosity/dual permeability model for fractured
reservoirs. (5 marks)
4.
Define the porosity partition factor V as used in this model.
(5 marks)
5.
How are Pickett plots used to help evaluate fractured reservoirs?
(5 marks)
6.
Which log can be processed to provide fracture porosity. (5 marks)
7.
Given 10 fractures per meter with an average aperture of 50 microns,
what is the fracture porosity and fracture permeability. (5 marks)
Exercise
30.02 - Dual Porosity Example (130 marks)
1. Using the visual log analysis procedure of The Petrophysical
Pocket Pal, identify shale zones, clean zones, porous zones,
and possible hydrocarbon zones. Draw bed boundaries (horizontal
lines) and pick log values in each rock layer (vertical lines).
Label each zone with a number, starting with your top zone.
2.
Are these logs in English or Metric units?______ Is the hole in
good condition?_________
3.
What is the approximate porosity of the cleanest zone? ___________
4.
Is there a water zone? __________What depth?____________________
5.
Is there a hydrocarbon zone? ___________What depth?_________________
Based on log response and test data, identify gas/oil contact____________
and oil/water contact_________________ .
6.
Pick the following values from the logs:
Shale properties: Gamma Ray clean line (GR0) ___________ _______
Gamma Ray shale line (GR100) _________ _______
Density shale line (PHIDSH) ___________ _______
Neutron shale line (PHINSH) ___________ _______
Sonic shale line (DELTSH) ___________ _______
Resistivity shale line (RSH) __________ _______
Other
useful well history (if data is not provided, make rational assumptions):
Catalog water resistivity (RW) ____ @ 25'C (77'F)
Bottom hole temperature (BHT) __'C
Bottom hole depth (BHTDEP) ____ meters
Surface temperature (SUFT) __'C
Perforated interval ____ - ____ meters
Initial production ____ m3/day of ______
Sample
description: dolomite, some calcite, vuggy porosity
7.
Calculate shale volume from the SP and density neutron separation.
Why is the GR method not used?__________
LEVEL
TOP BOTTOM
NUMBER DEPTHS GR SP PHIN PHID Vshx Vshs Vshmin
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
8.
Calculate effective porosity from one log sonic and density neutron
crossplot. Which porosity method is best for this zone?_________
Why?___________________ How much vuggy porosity is present?
LEVEL
TOP BOTTOM
NUMBER DEPTHS Vsh DELT PHIN PHID PHIsc PHInc PHIdc PHIxnd PHIsec
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
__ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
9.
Calculate lithology from the photo electric method. Which two
end point minerals did you use for the two mineral model?________________________
What values did you use for:
PE of shale (PESH) ______________
PE of mineral one (PE1) ______________
PE of mineral two (PE2) ______________
Can you calculate a three mineral model in each zone?_________
Why (not)? ______________________________________
LEVEL
TOP BOTTOM
NUMBER DEPTHS Vsh PHIe PE V1 V2
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
10.
Calculate water resistivity from the water zone, using Rwa (water
zone) method. Show all data and method. Do you think this value
is accurate?________ Why (not)?_ _________________________________
11.
Calculate water saturation from Archie method. Is this method
OK for this example?_______ What value of RW @ FT did you use?_________
RSH?_____ A?_____ M? ______ N?__________
LEVEL
TOP BOTTOM
NUMBER DEPTHS Vsh PHIe RESD Rwa Swa
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
12.
Make a Pickett Plot for the water zone this example. Is M constant
or variable?
13.
List fractured intervals and state which log curves show the fractures.
Pick Md from the Pickett plot for these intervals.
LEVEL
TOP BOTTOM Interval
NUMBER DEPTHS Thickness Indicator Logs Md Mb
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
14.
Calculate partition factor V, fracture and matrix porosity, statistical
factor P, and water saturation from the dual porosity model. What
value did you choose for Pwtr? __________
LEVEL
TOP BOTTOM
NUMBER DEPTHS PHIe PHIsc V PHIf PHIm P Swd Swf Swe Swa
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
___ ______ ______ _____ _____ _____ _____ _____ _____ _____ _____
_____ _____
15.
Explain the differences between Swe and Swa.
16.
If this was your well, what logs would you run in addition to
those presented? _________________ Why?
Which
would you omit? ________________Why?

FIGURE 30X02A: Induction log segment for Exercise 30.02

FIGURE 30X02B: Sonic waveform log segment for Exercise 30.02

FIGURE 30X02C: Density neutron log segment for Exercise 30.02

FIGURE 30X02D: Sonic log segment for Exercise 30.02

FIGURE 30X02E: Sonic amplitude log segment for Exercise 30.02

FIGURE 30X02F: Stoneley waveform log segment for Exercise
30.02

FIGURE 28X04F: Stoneley wave amplitude log segment for Exercise
30.02

FIGURE 30X02G: Lithology analysis log segment for Exercise
30.02
30.08
Bibliography for Chapter Thirty
1. Analysis of naturally fractured reservoirs from conventional
well logs; Aguilera,R.; The Journal of Canadian Petroleum Technology,
p. 764-772, 1976
2.
Current status on the study of naturally fractured reservoirs;
Aguilera,R., van Poollen,H.K.; Society of Professional Well Log
Analysts: The Log Analyst, p. 3-23, 1977
3.
Geologic aspects of naturally fractured reservoirs explained;
Aguilera,R., van Poollen,H.K.; The Oil and Gas Journal, 13 sections,
1978
4.
FCL: a computerized well log interpretation process for the evaluation
of naturally fractured reservoirs; Aguilera,R., Acevedo,L.A.;
The Journal of Canadian Petroleum Technology, p. 31-36, 1982
5.
A variable cementation exponent, M, for fractured carbonates;
Rasmus,J.C.; Society of Professional Well Log Analysts: The Log
Analyst, p. 13-23, 1983
ABOUT THE AUTHOR
E.
R. (Ross) Crain, P.Eng. is a Consulting Petrophysicist and a Professional
Engineer with over 35 years of experience in reservoir description,
petrophysical analysis, and management. He has been a specialist
in the integration of well log analysis and petrophysics with
geophysical, geological, engineering, and simulation phases of
oil and gas exploration and exploitation, with widespread Canadian
and Overseas experience.
His textbook, "Crain's Petrophysical Handbook on CD-ROM"
is widely used as a reference to practical log analysis. Mr. Crain
is an Honourary Member and Past President of the Canadian Well
Logging Society (CWLS), a Member
of Society of Petrophysicists and Well Log Analysts (SPWLA),
and a Registered Professional Engineer with Alberta Professional
Engineers, Geologists and Geophysicists (APEGGA)
|