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1. INTRODUCTION
Oil and gas industry is largely developing in more
challenging reservoirs such as shale oil and shale
gas. These reservoirs are known as tight reservoirs
due to very low permeability and matrix porosity
[1]. On one hand their huge amount of reserves
cannot be neglected and on the other hand
traditional recovery techniques looks inefficient.
For the purpose of maximum recovery, stimulation
operations such as hydraulic fracturing encountered
within horizontal drilling seem inevitable. All these
have led to a different set of challenges specifically
related to wellbore instability and regional
geomechanical problems.
For a successful geomechanical model we need
information about rock strength, pore pressure, in-
situ stresses and elastic properties of the rocks.
Besides, stress alteration around the borehole and in
a radius from the wellbore will occur while drilling
and production is in action. For such reasons, these
changes are needed to be predicted prior to the
drilling or stimulation operations. A good
geomechanical model which embraces anisotropic
formation elastic properties will result in an
accurate stress analysis and can simulate regional
geological hazards to prevent future financial
losses.
2. THEORY & BACKGROUND
Formations at depth exist under a state of
compressive in-situ stresses. When a well is drilled
through a formation a significant amount or rock
volume is removed which causes stress alteration.
As a result the surrounding rocks of the borehole
must compensate for the eliminated load. Stress
concentration around the borehole is the direct
result of this process, thus in case of weak
formations such as unsolicited sands or shales the
formation may fail. In anisotropic formations where
the rock strength differs in two or even three
ARMA 13-150
Stress Analysis and Wellbore Stability in Unconventional Reservoirs
Mehdi Ostadhassan1, Steve Benson
1 and Siavash Zamiran
2
1- Dept. of Petroleum Engineering, University of North Dakota, Grand Forks, ND 58202 USA 2- Dept. of Civil Engineering, Science and Research Branch, Islamic Azad University, Markazi, Iran
Copyright 2013 ARMA, American Rock Mechanics Association
This paper was prepared for presentation at the 47th US Rock Mechanics / Geomechanics Symposium held in San Francisco, CA, USA, 23-26
June 2013.
This paper was selected for presentation at the symposium by an ARMA Technical Program Committee based on a technical and critical review of the paper by a minimum of two technical reviewers. The material, as presented, does not necessarily reflect any position of ARMA, its officers, or members. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of ARMA is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 200 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgement of where and by whom the paper was presented.
ABSTRACT: This study will provide insight to evaluate the potential risks involved with the alteration of in situ effective stresses
around the borehole and the risks involved with the reservoir pressure decline. We studied how years of production and reservoir
depletion may cause future major geological hazards in the area understudy. Wellbore instability and stress distribution analysis
around a vertical and horizontal borehole is also carried out in the Bakken Formation including elastic anisotropy of the layer. We
calculated the magnitude of maximum principal horizontal stress as a major input parameter through a new method. This study
shows the importance of geomechanical modeling in petroleum industry with the recent growth of drilling plans in unconventional
reservoirs as a novel source of energy where many of them are thin layered, anisotropic and naturally fractured. To improve
production in such reservoirs horizontal wells seem inevitable which should proceeded by further stimulation operations such as
hydraulic fracturing; All these require a good understanding of formation elastic properties such as Young’s modulus and Poisson’s
ratio, geomechanical response of the formation and stresses around the borehole. For this study, dynamic elastic properties were
collected through the Bakken Formation using advanced sonic logs. The interpretation of these data is significant in estimating the
rock strength, pore pressure, and in situ stresses. In the next step, the measured dynamic elastic moduli were converted to static
ones and were used as input into poroelasticity equations to calculate the magnitude of the horizontal principal stresses. The
direction of the maximum principal horizontal stress was determined to be N70E by analyzing fast shear azimuth (FSA) using
major fractures which have caused more than 2% shear anisotropy. Finally stress analysis and wellbore stability were performed
and compared in the current state of the reservoir stress state and after 5 years of production. The results approve the possible
occurrence of normal faulting in the region and existence of borehole breakouts after years of production.
2
different directions, failure could be more
complicated. In general, failures could be
categorized under three main classes as shown in
Figure 1[2]:
1. Formation breakdown or unintended
hydraulic fracturing that will result in loss of
drilling fluid circulation, Figure 1(a).
2. Hole enlargement due to brittle rock fracture
or rupture, Figure 1(b).
3. Hole size reduction which can happen
because of ductile yield of the rock, Figure
1(a).
Fig 1. Three main classes of wellbore failure.
2.1. Wellbore Stability Influencing Parameters
To obtain a good prediction of wellbore stability
and geomechanical behavior of the reservoir, we
should try to recognize the governing parameters
and various possible conditions occurring around
the borehole when the formation is drilled [3].
There is a comprehensive list of factors encountered
in wellbore stability analysis and geomechanical
modeling, but the major ones that are controllable,
predictable and measurable are: rock strength,
stiffness, permeability, temperature, pore pressure
and concentration (Figure 2).
Fig 2. Major factors changing around the borehole.
2.2. In-Situ Stress Calculation (Principal Stresses)
Formation stresses play an important role in
geophysical prospecting and development of oil and
gas reservoirs. Both the direction and magnitude of
these stresses are required in (a) planning for
borehole stability, (b) hydraulic fracturing for
enhanced production, and (c) selective perforation
for sand control. The formation stress state is
characterized by the magnitude and direction of the
three principal stresses, one vertical and two
horizontal. Consequently, formations could be
either normally stressed or tectonically stressed [4].
In a normally stressed formation the maximum
principal stress is the vertical effective stress ( ),
equal to the overburden stress. Total vertical stress
is defined as the sum of the weight of the rock
matrix. It is described as the vertical effective stress
plus the pressure exerted by the fluids in the pore
spaces that overlie the depth of interest [5] as
presented in Eq. (1):
(1)
where is the total vertical stress at depth ,
is the density at depth Z below the surface and
is the acceleration due to the gravity. Eq. (1) can
also be rearranged in the form of Eq. (2):
(2)
In such condition the other two principal in-situ
stresses ( , ) are in the horizontal plane. In
tectonically stressed regions which may contain
active faults, salt domes or severe folding and
fracturing, the principal in-situ stresses are not
necessarily oriented in vertical or horizontal
directions that have led into structural deformations,
thus their magnitudes are usually different and more
complicated to be estimated, comparing to the
normally stressed regions.
To calculate minimum principal horizontal stress
anisotropic poroelasticity equation, Eq. (3) can be
used [6]:
(3)
The anisotropic dynamic elastic parameters (
, , and ) are measured by advanced
sonic log [7] and then the values are transformed to
static ones to better represent the formation
geomechanical characteristics. Wang correlation [8,
3
9] for soft rock is applied to measured data to
transform dynamic values into static ones, Eq. (4):
(4)
Calculating the minimum principal horizontal and
overburden stress’s magnitude as a function of depth
will be used as input to evaluate the magnitude of the
maximum horizontal principal stress [10]. To perform
this task acoustoelastic parameter AE in terms of the far-
field shear moduli C55 and C66 is defined as Eq.(5):
(5)
In the above equation it has been assumed that the
effects of permeability on the shear moduli (C55 &
C66) are similar and negligible [11].
Once the acoustoelastic parameter (AE) has been
determined for a given lithology interval (shale units and
middle member separately), we can calculate the
maximum horizontal principal stress magnitude ( )
as a function of depth from the following equation:
(6)
Where C55 and C44 denote the fast and slow dipole
shear moduli. These values are measured from the
fast and slow shear wave velocities with respect to
the formation density. C66 is similarly shear
modulus from Stoneley shear wave and is
calculated from Stoneley wave velocity and
formation density [12].
2.3. Stress Distribution around the wellbore
To evaluate the stress distribution around the wellbore,
plain strain condition is taken into account. The
complete solution for stress distribution around the
borehole and deeper in the formation are presented in
Eqs. [7-11] [13]:
2 4
H h H hr 2 4
2 2
2 2
(1 ) (1 32 2
3 )cos 2
w w
w ww
R R
r r
R RP
r r
(7)
2 4
H h H h
2 4
2
2
(1 ) (1 3 )2 2
cos 2
w w
ww
R R
r r
RP
r
(8)
2
H h 22 ( ) cos 2w
z v fr
R
r (9)
4 2
H h
4 2(1 3 2 )sin 2
2
w wr
R R
r r
(10)
0rz z (11)
Where Rw is the well radius, is the pressure exerted
on the wellbore wall by the drilling fluid, is
formation Poisson’s Ratio then , , and
are radial, tangential, axial and shear stresses
respectively. is the angle measured relative to the
direction of maximum principal horizontal stress.
2.4. Horizontal Principal Stress Orientation
Various methods have been discussed in the
literature for estimating the direction of maximum
principal horizontal stress [14]. The most reliable
way to determine stress orientation is to identify
features (either geological features or wellbore
failures) which their orientation is controlled by the
direction of the in-situ stresses. Other methods that
rely on the observing if the effect of the stresses on
the rock properties such as using oriented core have
been found to be less reliable and subject to
influence by factors other than the in-situ stresses.
Methods that are the most reliable to identify the
orientation of the principal horizontal stresses are as
follows:
Using wellbore failure or elongations.
Analyzing seismic anisotropy.
Utilizing advanced sonic logs (sonic
scanner) -using the fast shear azimuth
(FSA).
Wellbore failure can consist of breakouts or induced
fractures. Breakouts normally occur in a vertical
well at the azimuth of , and drilling-induced
tensile fractures occur 90° to breakouts parallel to
the azimuth of . By detecting such features,
direction of principal horizontal stresses would be
found with high accuracy.
Acquiring multicomponent seismic survey (source
and receiver) can be helpful to detect the shear
splitting phenomenon which indicates azimuthal
anisotropy within the formation. Azimuthal
anisotropy originates from shear splitting due to the
presence of structural elements such as bedding
planes or joints and fractures (Figure 3) [15].
Advanced sonic logs which are enhanced by
mounted dipole sources and receivers are designed
in such a way to allow computation of the velocity
and orientation propagation of fast and slow shear
dipole modes [17]. In such configuration the fast
shear wave propagation azimuth is recognized to be
in the direction of .
4
Fig 3. Shear wave splitting and advanced sonic logging tool
placement in a vertical well (courtesy of Schlumberger).
2.5. Failure Criterion
A failure criterion should be chosen to predict
wellbore stability conditions in any geomechanical
model. Mohr-Coulomb is a conventional and widely
used failure criterion so far used by the industry for
geomechanical modeling [18]. Mohr-Coulomb
failure model in a linear elastic formation with
horizontal in-situ stresses and drilling fluid exerting
pressure on the borehole wall ( is given by
following equations:
(12)
(13)
Where is the maximum stress and is the
minimum stress, likewise and C are the friction
angle and cohesion respectively. In the case of r=Rw
in Eqs. [7-10], the largest stress difference can be
achieved and Mohr-Coulomb criterion can be
written as:
(14)
and are tangential and radial stresses
respectively.
3. METHODOLOGY
3.1. Preliminary Analysis
Sonic Scanner log (Mark of Schlumberger) was
acquired through the Bakken Formation in a
producing horizontal well (Figure 5) which was
drilled 5 years ago in Williston Basin, North Dakota
(Figure 4). The Bakken Formation is primarily a
shaly unit which is aged late Devonian to early
Mississippian. The Bakken Formation consists of
three members: upper shale member, middle clastic
and carbonate member and lower shale member
[19]. Regarding low porosity and permeability of
this formation, along with the presence of fractures,
this layer is categorized as a unconventional,
naturally fractured reservoir. As a result in order to
enhance the production from this tight formation,
stimulation plans should be performed in a
horizontal section of every well in the Bakken
Formation; Therefore a comprehensive
geomechanical numerical modeling and wellbore
stability analysis is necessary for success in such
operations. Previous studies show that the middle
member which is the producing section of the
Bakken can be considered isotropic for
geomechanical study [20].
Fig 4. Map of the study area, state of ND- The black arrow
points to the well location and red polygons shows different
fields.
Figure 6 represents the corresponding set of
conventional logs through the Bakken Formation in
the well. The logs include gamma ray (first track),
Density log (second track), compressional wave
velocity (third track) and fast and slow shear wave
velocities (fourth track, blue and red curves
respectively) plus the layers’ tops (first column)
picked on the logs. This formation can be easily
identified from the overlaying Lodgepole Formation
and the underlying Three Forks Formation from its
very distinct high gamma ray response. Likewise
the upper and lower shale members can be
distinguished from the middle member with their
higher gamma ray signature.
5
Fig 5. Top) General overview of well trajectory, Bottom) A
closer look at the kick of point (KOP) and horizontal section
of the well in Middle Bakken (MB).
Fig 6. Set of conventional logs through the Bakken Formation,
gamma ray log (first track), Density log (second track),
compressional wave velocity (third track) and fast-slow shear
wave velocities (fourth track, blue and red curves respectively)
with layers’ tops.
3.2. Stress Analysis (Magnitude & Orientation)
In order to calculate horizontal principal stresses,
C44, C55 and C66 should be calculated from the slow
shear, fast shear and Stoneley wave velocities
respectively including formation density. The
measurements are shown in Figure 7. First column
denotes the formation tops, the first, track blue and
red curve are representing C55 and C44 respectively
and the second track represents C66.
Fig 7. Three shear moduli measured through the Bakken
Formation.
Anisotropic minimum and maximum principal
horizontal stress which means to take the effect of
elastic properties of the formation in horizontal and
vertical direction into consideration is calculated by
Eqs. (3) and (6), and are displayed in the following
figure. The black star in figure 8 shows the
measured pore pressure in Middle Bakken (MB)
from DST (drill stem test).
Fig 8. Anisotropic horizontal principal stresses and
overburden stress through the Bakken Formation- The black
star shows the DST measurement.
6
It’s worth mentioning that in order to estimate the
stress magnitudes in shale which is considered as a
vertical transverse isotropic (VTI) medium with the
latest described methodology, it is necessary to take
the anisotropic characteristic of shale into
consideration to obtaine more accurate results.
Vertical transverse isotropy can be quantified in the
manner of having isotropic planes either in the
horizontal or vertical direction with the axis of
rotational symmetry normal to the plane of isotropy
[16]. In this regard the horizontally aligned clay
particles are known to be the main source of
anisotropy in shales resulting in transverse isotropy
causing a difference between elastic properties in
horizontal and vertical directions.
Clay minerals show a huge impact on the difference
between Stoneley shear modulus C66 and the dipole
shear moduli C44 or C55. Generally, shear modulus
C66 in the isotropic plane of shale (parallel to the
clay minerals surfaces) is larger than shear modulus
C44 or C55 in the orthogonal planes. In such
condition, we need to reduce the measured C66 by
40% before inputting it together with the shear
moduli C44 and C55 for stress magnitude estimation
[10] to calculate stress specifically in the upper and
lower members of the Bakken Formation.
The direction of maximum principal horizontal
stress is found to be N65E by counting and
detecting the orientation of fractures that have
caused slowness or time based anisotropy greater
than 2% shear anisotropy. The results are plotted in
a rose diagram showing the orientation of fracture
planes with their frequency (Figure 9). These
fractures are believed to be tensile and along the
maximum principal horizontal stress which will be
discussed in the further sections. As previously
illustrated where shear splitting takes place, fast
shear azimuth (FSA) which is along the natural
fractures can be utilized to determine the orientation
of the maximum principal horizontal stress. Fast
shear wave is polarized along the fracture planes
and propagates with higher velocity comparing to
the slow shear wave which polarizes across the
fracture planes. The FSA is obtained through a
mathematical procedure known as Alford rotation
[21] by assigning fast and slow shear wave arrivals
on the right orthogonal receivers of the logging tool.
Slowness and time based shear anisotropy can be
defined with the following equations respectively,
Eqs. (15) and (16):
(15)
(16)
Where DT is the wave slowness (µs/ft) and TT is the
travel-time for the arriving fast and slow shear
waves at each receiver spacing on the sonic scanner
tool.
Fig 9. Rose diagram of natural fractures that have caused more
than 2% anisotropy- frequency and fracture plane orientation
are shown.
3.3. Stress Polygons
Stress polygons estimate the range of possible stress
states at any given depth and pore pressure while
that stress in the crust is limited by the frictional
strength of faults favoring normal, strike-slip, and
thrust faulting [22]. For these set of diagrams the
following conditions may exist:
line is the lower limit of
possible stress states.
Lines bounding the composite polygon on
its upper and left sides are thresholds of
failure.
Stress states to the left and above those lines
cannot exist in the natural state.
Different stress polygons apply for differing
depths, pore pressures, and friction
coefficients.
We created stress polygons in Middle Bakken (MB)
at a specific depth for two different stress states
conditions: initial reservoir condition and after 5
years of production when reservoir pressure is
7
declined. This analysis was performed in order to
improve our understanding about the possibility of
the occurrence of any geomechanical hazards in the
region such as: faulting, subsidence and induced
earthquakes specifically after reservoir depletion
when a major decline in reservoir pore pressure has
taken place.
To predict limiting stress differences at any specific
depth and in order to create the stress polygons the
following conditions should be satisfied [23]:
Normal faulting
(17)
Strike slip faulting
(18)
Reverse faulting
(19)
Where and are the principal stresses, Pp is
pore pressure and is the friction angle. The stress
polygons are created under elastic Mohr-Coulomb
failure criterion assumptions in the horizontal
section where the depth of the well is 10311ft TVD
(Figure 5). Table 1 represents the input values for
generating the stress polygons:
Table 1.Input parameters used for stress polygons in the MB.
PR
UCS
(MPa)
Initial
reservoir PP
(psi)
PP (after
production)
(psi)
M B 0.24 63.11 37.3 5800 4900
From Eqs. [17-19] we recognize that pore pressure
and depth (expressed in term of overburden stress,
Sv) are the main governing parameters for such
analysis; Pore pressure was obtained from reservoir
simulation and history matching after 5 years of
production (Figure 10). In addition it was assumed
that the formation shows elastic behavior. This
means that Hook’s Law is the governing relation on
the rock and also the contributing corresponding
parameters such as Poisson’s Ratio, Young’s
Modulus, compressive strength and friction angle
are independent of the processes followed by
reservoir depletion.
Fig 10. Current reservoir pressure obtained from reservoir
simulation.
Figure 11 is the stress polygon created for initial
reservoir stress state. Failure occurrences width in
degrees as a function of compressive strength of the
rock are shown in red contours. The solid black
lines outline the polygon that defines the limits of
Mohr-Coulomb failure for frictional equilibrium of
pre-existing faults in the region. It should be
mentioned that these limits are independent of any
criteria related to the wellbore. These limits are only
dependent on pore pressure, vertical stress (depth)
and the value of sliding friction. Therefore if the
stress state lies inside of this polygon then the
strength of the crust does not allow a larger stress
difference between the greatest and least principal
stresses to occur. The dashed lines separate the
three triangular regions reflecting normal faulting
(NF), strike-slip faulting (SS), and reverse faulting
(RF) stress conditions.
Fig 6. Stress polygon for initial reservoir condition.
8
The red contours in Figure 11 separate the
permissible stress states based on breakout
occurrences for a series of rock strengths. As it can
be found from Figure 11, reservoir stress state
(σhmin=55Mpa and σHmax=60Mpa) lays below the reservoir
rock compressive strength and in the normal fault
region. Figure 11 illustrated that for the presented
range of rock strengths, red contours delimit that
only strike-slip or reverse faulting stress regimes are
consistent with the observations which are even
beyond the principal stresses of the depth
understudy.
Figure 12 depicts the stress changes at the borehole
wall and in a radius from the wellbore in the
reservoir initial stress conditions. Top left is the
radial stress, top right is hoop stress, lower right is
tangential stress and lower left shows the stress
variations at the borehole wall where the red and
blue curves represents the maximum and minimum
tensile stresses. It’s been realized that tensile stress
which is the main source of tensile fractures seems
to be lower than the critical stress (red line on top of
the plot). This can interpreted as we do not expect
to see any evidence of tensile fracture occurrence
around the borehole wall. This is consistent with the
outcomes obtained from the stress polygon study
which approved no tensile fractures could exist in
the initial reservoir pore pressure and stress state.
Fig 7. Stress variation round the borehole wall for initial
reservoir conditions, top left) radial stress, top right) tangential
stress, lower right) hoop stress and lower left) all of the
aforesaid stresses at the bore hole wall, the values are in Mpa.
Figure 13 displays the stress polygon created for the
reservoir in the horizontal section after 5 years of
production. The main phenomenon of the plot is the
noticeable shift of red contours which represent a
range of breakout width with respect to the rock
strength to the lower left part of the polygon. As a
result the rock strength in the new conditions
mainly covers the possible strike slip (SS) and
normal (N) fault area of the plot. This stress
analysis leads us to the fact that the occurrence of
breakout seems to be more likely for lower rock
strengths. This is concluded from the bound of red
contours laying below the new stress state of the
reservoir (σhmin=58Mpa and σHmax=58Mpa).
Fig 8. Stress polygon of the depth understudy after 5 years of
production with a decrease in pore pressure.
Comparing the reservoir rock strength which was
estimated to be around 63Mpa and the new stress
state conditions after producing from the reservoir,
it’s understood that rock strength sits below the new
reservoir stress conditions and in the normal fault
triangle of the plot. This means that producing from
the reservoir makes the new stress conditions to
exceed the reservoir rock strength. This feature will
finally lead into fault reactivation or new normal
faulting in the area understudy.
The following figure represents the horizontal
section of the well and also the required rock
strength around the borehole required for breakouts
to initiate. From Figure 14 it’s concluded that no
breakout may exist at the initial reservoir condition
in any direction around the borehole.
9
Fig 9. No breakout exists around the borehole with required
compressive strength at initial reservoir pr4ssure and stress.
Figure 15 depicts the stress variations at the
borehole wall and a radius from the wellbore wall
after reservoir pressure decline due to the
production. Top left is radial stress, Top right is
hoop stress, lower right is tangential stress and
lower left represents the stress variations at the
borehole wall for all of the above mentioned
stresses.
Fig 10. Stress variation round the borehole after 5 yrs of
production, top left) radial stress, top right) hoop stress, lower
right) tangential stress and lower left) all of the above stresses
at the bore hole wall, the values are in Mpa.
From previous figure (lower left), It’s realized that
the tensile stress (orange curve) is exceeded the
critical stress of the reservoir at the borehole wall.
This phenomenon will have a huge impact on the
stability of the wellbore thus resulting in failures
such as shear or tensile fractures and breakouts. The
existence of these failures will be discussed in the
following section. The possible breakout region is
marked by black ovals in Figure 16 along with the
required compressive strength (C0) diagram as
shown in colored scale. A more precise look at
Figure 16, the azimuthal direction of minimum
principal horizontal stress (S3) can be understood
from the breakouts presence around the borehole.
Considering the final outcome of the wellbore stress
analysis from 5 years producing from the reservoir,
it can be concluded that the detected fractures to
study the orientation of the maximum principal
horizontal stress are tensile and occurring at the
borehole wall or deeper in the formation. It should
be notified that these fractures exist due to reservoir
stress alteration along the reservoir depletion.
Fig 11. Black ovals on the right diagram mark the region of
possible breakouts around the borehole with required rock
compressive strength (C0) after reservoir depletion.
3.4. Stability Analysis
The following figures are representing the stability
status of the wellbore at the specific depth of
10311ft- the horizontal section- which are created
under elasto-plastic Mohr-Coulomb failure criterion
assumptions. Comparing figures 17, wellbore
stability plot for the initial stress conditions and
figure 18, the stability plot after 5 years of
production, we can realize that shear failures will be
possible in the second state of reservoir stress
condition. After 5 years of production and pore
pressure reduction breakouts or non-radial shear
10
planes can occur under specific mud weight and
rock compressive strength. The black circle denotes
the reservoir stress condition and the red counters
are indicating the breakouts.
Fig 12. Fraction of wellbore circumference mode as a function
of mud weight and compressive strength of initial reservoir
condition, circle indicates reservoir stress conditions.
Fig 13. Fraction of wellbore circumference failed in difference
mode as a function of mud weight and compressive strength
after 5 years of production, circle indicates reservoir stress
conditions.
4. SUMMARY
A full geomechanical modeling and stress variation
analysis around the wellbore was performed in a
horizontal well in Williston Basin, ND in Middle
Bakken which is considered to be an
unconventional reservoir. This procedure includes
stress polygons and stability plots generation to
study the possibility of future faulting or breakouts
existence in the study area and at borehole wall.
Results showed the possibility of wellbore non-
radial shear failures also known as breakouts after 5
years of production from the reservoir. This was
found to be due to the reduction in reservoir pore
pressure. Initial reservoir pressure was measured
through DST and current pore pressure was
predicted by reservoir simulation and history
matching. In addition the stress polygons are
showing the possibility of normal faulting after the
production. This means in order to prevent future
hazards reservoir pressure should be maintained by
injection.
Orientation and magnitude of anisotropic horizontal
principal stresses were carried out. The magnitude
of anisotropic minimum horizontal principal stress
was calculated through poroelasticity relations and
the magnitude of maximum principal horizontal
stress was found through measurement of three
shear moduli of the formation. The direction of
maximum principal horizontal stress was found to
be N70E from the direction of fast shear azimuth
(FSA). The direction of fast shear azimuth was
attained by analyzing existing tensile fractures
around the borehole that have caused shear
anisotropy more than 2%. Three shear moduli of the
formation were measured by acquiring advanced
sonic logs.
5. ACKNOWLEGEMENT
The authors would like to thank the following sponsors
for their financial support: US DOE through contract of
DE-FC26-08NT0005643, North Dakota Industrial
Commission together with four industrial sponsors
(Encore Acquisition Company, Hess Corporation,
Marathon Oil Company, and Whiting Petroleum
Corporation) under contract NDIC-G15-031 and North
Dakota Department of Commerce through UND’s
Petroleum Research and Education and Entrepreneurship
Center of Excellence (PREEC). The authors would like
to express special appreciation to Baker-Hughes for
providing us with the software.
REFERENCE
1. National Petroleum Council, “Unconventional Oil,”
Working Document of the NPC North American
Resource Development Study, Paper #1–6, September
15, 2011.
2. McLean, M. R., 1987. Wellbore Stability Analysis.
PhD Thesis, University of London. LTK.
3. Dusseault, M. B., 1994. Analysis of borehole
stability. Computer Methods and Advances in
Geomechanics Balkema: 125-137.
4. Finkbeiner, T., Zoback, M., Flemings, P. et al. 2001.
Stress, Pore Pressure, and Dynamically Constrained
Hydrocarbon Columns in the South Eugene Island
11
330 Field, Northern Gulf of Mexico. Am. Assoc. Pet.
Geol. Bull. 85 (6): 1007-1031.
5. Sayers. M., 2006. An introduction to velocity-based
pore pressure estimation. TLE December 2006, 1496-
1500.
6. Higgings, S., S. Goodwin, Q. Donald, A. Donald, T.
Bratton, and G. Tracy, 2008, Anisotropic stress
models improve completion design in the Baxter
shale, In Proceedings of SPE ATCE, Denver, 21-24
September 2008, SPE 115736.
7. Waters, G, R. Lewis and D. Bently, 2011. The effect
of mechanical properties anisotropy in the generation
of hydraulic fractures in organic shales. In
Proceedings of SPE ATCE, Denver, 30 Oct- 2 Nov
2011, SPE 146776.
8. Wang, Z., 2000. Dynamic vs. static properties of
reservoir rocks. In Wang, Z., A. Nur and A. Eds,
Seismic and acoustic velocities in reservoir rocks.
Volume 3: Recent developments, Published by SEG.
9. Chang, C., M. Zoback and A. Khaksar, 2006.
Empirical relations between rock strength and
physical properties in sedimentary rocks, J. Pet. Sc.
and Eng., 51, 223-237.
10. Sinha, B., J. Wang, S. Kisra, V. Pistre, T. Braton and
M. Sanders, 2008. Estimation of formation stresses
using borehole sonic data. Proceedings of 49th the
SPWLA, Edinburgh, Scotland, 25-28 May 2008.
11. Sinha, B., Vissapragada, B., Wendt, A., Kongslien,
M., Eser, H., Skomedal, E., Renile, L. and Pedersen,
E., 2007. Estimation of formation stresses using
radial variation of three shear moduli- a case study
from a high-pressure, high-temperature reservoir in
Norwegian continental shelf, In Proceedings of SPE
ATCE, Anaheim, 11-14 November, SPE 109842.
12. Sinha, B., B. Vissapragada, L. Renlie and S. Tysse,
2006. Radial profiling of the three formation shear
moduli and its application to well completions. J
Geophys.,71:6, E65-E77.
13. Fjar, A., R. Holt, A. Raaen, R. Risnes and P. Horsud,
1992, Petroleum related rock mechanics, Elsevier
Publishing.
14. Zoback, M., 2007, Reservoir Geomechanics,
Cambridge University Press, First edition.
15. Aki, K. and P. Richards, 2002, Quantitative
Sesimoloy, University Science Books, Second
edition.
16. Tsvankin, I. 2005. Seismic signatures and analysis of
reflection data in anisotropic media. 2nd
ed. Elsevier
Science.
17. Pistre, V., T. Kinoshita, T. Endo, K. Schilling,
J.Pabon, B.Sinha, B.,T.Plona, T. Ikegamiand D.
Johnson, 2005, A New modular wireline logging
sonic tool for measurement of 3D (Azimuthal, radial
and Axial) formation acoustic properties, In
Proceedings of SPWLA 46th
annual logging
symposium, New Orleans, June 26-29.
18. Jeager, J. and N. Cook, 2007. Fundamentals of rock
mechanics. 4th
ed. Blackwell Publishing.
19. Price, L. and LeFever, J., 1994, Dysfunctionalism in
Williston Basin: The Mid-Madison/Bakken
petroleum system, Bulletin of Canadian Petroleum
Geology, 42, 187-218.
20. Ostadhassan, M., Z. Zeng, H. Jabbari, Anisotropy
analysis in shales by acquiring advanced sonic data,
2012. In Proceedings of AAPG ACE, Long Beach,
22-25 April.
21. Alford, R., 1986, Shear data in the presence of
azimuthal anisotropy: Dilley, Texas presented at the
56th SEG annual meeting, Houston, 2-6 November,
expanded abstracts.
22. Zoback, M., C.A. Barton, M. Brudy, D.A. Castillo, T.
Finkbeiner, B.R. Grollimund, D.B. Moos, P. Peska,
C.D. Ward and D.J. Wiprut, 2003, Determination of
stress orientation and magnitude in deep wells,
International Journal of Rock Mechanics & Mining
Sciences, 40 (2003) 1049–1076.
23. Anderson E.M., 1951. The dynamics of faulting and
dyke formation with applications to Britain.
Edinburgh: Oliver and Boyd.