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DE-FE0010808
Fracture Design, Placement, and Sequencing in Horizontal Wells
Mukul M. Sharma
Hisanao Ouchi, Amit Katiyar, John Foster
University of Texas at Austin
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 2
Outline
• Problem statement: The need for a new model
• Model Verification
• Interaction between Hydraulic Fractures and Natural Fractures
• Propagation of multiple fractures in horizontal wells
• Effect of Reservoir Heterogeneity
• Conclusion
• Peridynamics Based Hydraulic Fracturing Model
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 3
Hydraulic Fractures are Complex
To optimize stimulation design and completion strategy, we must consider Complex fracture
geometry (multiple, non-planar)
Fracture networks (interaction with natural fractures)
Impact of natural fractures, heterogeneities, poroelasticity, layering, variation in the in situ confining stresses etc.
Ref: Warpinski, N.R. et al, SPE 114173, 2008
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 4
Peridynamics
Unifies the mechanics of continuous and discontinuous media
Silling S. A., J. Mech. Phys. Solids, 48, 175-209, 2000
Material points (particle-based discretization)Non-local interaction (bonds) inside horizon
Horizon of point
Body
Integral FormClassical model
Peridynamics
Any Known Constitutive Model in Classical Theory
x'
x
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 6
Peridynamics Based Hydraulic Fracturing Model
Ref: Turner D.Z., arXiv:1206.5901, LE Q.V. et al, Int. J. Numer. Meth. Engng, 2014
Solid Mechanics
[ ]( ) ( )2
1
3 3 153GK P GT
m m
α χχ ω − − + = + + − +
η ξx ξ x ξ η ξ ξη ξ
P 𝜃𝜃
Peridynamics Based Poroelastic Model
Ref: Katiyar A., Foster J. T., Ouchi H., and Sharma M. M., J. Comp. Phys., 261, 209-229, 2014.
(for 2D flow)
Porous Flow
Coupling
∅f Pf, 𝐼𝐼Fracture Flow
Ref: Ouchi, H., Katiyar A., York, J., Foster, John T., Sharma, Mukul M., J. Comp. Mech., 2015.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 7
Dual Permeability Concept
Injector Injector
Shmin
Pore Space(Pore Pressure)
Before fracture propagation4 Primary Unknowns : position of element (x,y,z) and matrix pressure
After fracture propagation5 Primary Unknowns : position of element (x,y,z), matrix pressure, and fracture pressure
Pore Space(Pore Pressure)
Fracture Space(Fracture Pressure)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 9
Model Verification
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 10
Biot Consolidation Problem(Verification of Poroelastic Model)
Jaeger J.C et al, Fundamentals of Rock Mechanics, forth edition, 189-P194
t* =
0.4
5
t* =
0.9
7
t* =
4.4
9
PeridynamicsExact
Z=0.053h
Z=0.303h
Z=0.553h
Z=0.803hPeridynamicsExact
Peridynamics
Analytical
Peridynamics
Analytical
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 11
2-D Single Fracture Propagation (Comparison with KGD Model)
• Young’s modulus (GPa) = 60
• Poisson’s ratio = 0.25
• Shmax (MPa) = 12
• Shmin (MPa) = 8
• Permeability (nD) = 10
• Porosity = 0.3
• Initial pore pressure (MPa) = 3.2
• Fluid: Water
• Injection rate (m3/min/m)= 0.12
• Number of elements 200*160
Injector
Hydraulic fracture
ShmaxShmax
Shmin
Shmin
x
y
20 m
16 m
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 12
Results: Fracture Half Length and Wellbore Pressure
0
2
4
6
8
10
12
14
16
0 20 40 60 80
KGD (P@Wellbore = P@Frac. Tip)Our model (Wellbore)Our model (Frac. Tip)Our model (Infinite Conductivity: P@Wellbore = P@Frac. Tip)
0123456789
10
0 20 40 60 80
KGDOur modelOur model (Infinite Conductivity)
Sim: Kf = f(width)KGD
Sim: Tip (Kf = f(width))
Sim: Bottomhole (Kf = f(width))
KGD
Sim: Infinite Conductivity
Sim: Infinite Conductivity
Frac
ture
hal
f len
gth
(m)
Time (s) Time (s)W
ellb
ore
Pre
ssur
e (M
Pa)KGD
Our model (kf = function of width)Our model (infinite conductivity)
KGD assumes constant pressure distribution along a fracture.
Infinite conductivity model shows good agreement with KGD.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 13
(a) (b)
Results: Stress Distribution around Fracture (Infinite Conductivity Case)
fracture fracture
Analytical(Sneddon solution)
Peridynamics
Y axis
Y axis
Peridynamics
Analytical
X axis
X axis Peridynamics
Analytical
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 14
3-D Single Fracture Propagation (Comparison with PKN Model)
• Young’s modulus (GPa) = 60
• Poisson’s ratio = 0.25
• Svmax (MPa) = 60
• Shmin (MPa) = 40
• Permeability (nD) = 10
• Fluid: Water
• Injection rate (m3/min/m)= 0.12
• Number of elements 100*100*20
4m
20 m
20 m
Ty
Tx
Tz
Injector
The eight elements at the center of the simulation domain are representing injection from the injector(dual injection points)
fracture
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 15
Results: Fracture Half Length, Fracture Width, and Wellbore Pressure
0
2
4
6
8
10
12
14
16
0 10 20 30 40 50
Frac
ture
hal
f len
gth
(m)
Time (s)
PKN Peridynamics
0.0E+00
5.0E-05
1.0E-04
1.5E-04
2.0E-04
2.5E-04
3.0E-04
0 10 20 30 40 50
Max
imum
frac
ture
wid
th (m
)
Time (s)
PKN Peridynamics
0
10
20
30
40
50
60
0 10 20 30 40 50
Pres
sure
(MPa
)
Time (s)
PKN Peridynamics
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 16
Effect of Reservoir Heterogeneities
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 17
Effect of Multi-Scale Heterogeneities
http://www.agilegeoscience.com/journal/2011/8/18/niobrara-shale-field-trip.html
Different scale heterogeneitiesin the reservoir
layer scale (m order) heterogeneity
sub-layer scale (cm order)heterogeneity
small scale heterogeneity(mm order)
How does this multi-scale heterogeneity affect fracture propagation?
1.5 mm
1.5 mm
quartz
clay or kerogen
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 18
Effect of Layer Boundary
x
z
In most of the hydraulic fracturing simulators, only “crossing” or “stopping” are simulated due to planar propagation assumption.
hydraulic fracture
However, in many cases, fractures can show the following characteristic propagation behaviors near the layer interface other than “crossing” or “stopping”.
“turning” “kinking”“branching”
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 19
Fracture Propagation in Layered Rocks
x
z
Extracting a small area near layer boundary
Upper Layer
Lower Layer 5 cm
10 cm
30 cm
Inject water from the bottom
Vσ
1Hσ
2Hσ
Important parameters:
Horizontal-vertical stress contrast Young’s modulus contrast Weak connection between layers Layer Dip
Horizontal stress contrast Toughness contrast
E1
E2
KIC1
KIC2
hydraulic fracture
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 20
Effect of Layer Stresses(0 degrees, E2 = 10 GPa)
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.00.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.00.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.00.0
(b) E1 = 20 GPa (c) E1 = 40 GPa
(d) E1 = 80 GPa
: Turning
: Crossing
B : Branching
(a) E1 = 10 GPa
BB
BB
BB
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
0.0
Layer1
Layer2
Layer1
Layer2
Published shale dataRijken and Cooke (2001)
E: 4.5 - 61.0 GPaKIC: 0.7 - 2.16 MPa m0.5
E1
E2=10GPa
0 dip angle
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 21
Turning and Branching
• “Turning” is strongly affected by principal stress difference and fracture toughness contrast.
• A higher fracture toughness contrast• A smaller principal stress difference
More fracture turning
• Very high Young’s modulus contrast (> 8.0)• Low fracture toughness contrast (< 1.0)
e.g. upper layer = calcite vein (E = 83.8 GPa, KIC = 0.19 MPa m0.5)
• Young’s modulus contrast does not have a large influence on fracture turning along the layer interface.
• “Branching” occurs under the following conditions.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 22
Effect of Dip Angle (15 degrees, E2 = 10 GPa)
B1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
B
B1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
(b) E1 = 20 GPa (c) E1 = 40 GPa
(d) E1 = 80 GPa
: Turning
: Kinking
B : Branching
(a) E1 = 10 GPa
: Crossing
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
“Turning” criteria does not change a lot from 0 dipping angle cases.
15 deg
E1
E2=10GPa
layer interface layer 1
layer 2
layer interface
15 deg
Branching
But, “Kinking” is observed in most of the cases below the turning criteria.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 23
Effect of Dip Angle (30 degrees, E2 = 10 GPa)
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
(b) E1 = 20 GPa (c) E1 = 40 GPa
(d) E1 = 80 GPa
: Turning
: Kinking
(a) E1 = 10 GPa
30 deg
E1
E2=10GPa
layer interface
layer 1
layer 230 deg
“Turning” criteria in the high dipping angle cases becomes lower than the lower dipping angle cases.
“Kinking” is observed in every case below the turning criteria.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 24
Mechanism of Kinking
Sxx distribution
damage distribution
(a) after 0.27 sec
The left side stress becomes higher due to smaller strain of upper layer.
The fracture turns to the right side.
(c) after 0.5 sec (b) after 0.47 sec
E=40GPa
E=10GPa
(MPa)
(fraction)
30 cm
15 cm
The left side of the fracture is difficult to deform due to the high Young’s modulus.
The fracture turns as if avoiding the layer interface.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 26
Effect of Young’s modulus contrast on “kinking”
(fraction)
(a) E1/E2=10GPa/10GPa
15deg
E=10GPaKIC = 1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
30 cm
15 cm
(b) E1/E2=20GPa/10GPa
E=20GPaKIC = 1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
(c) E1/E2=40GPa/10GPa
E=40GPaKIC = 1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
(c) E1/E2=80GPa/10GPa
E=80GPaKIC =1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
Kinking angle increases with the Young’s modulus contrast.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 27
Effect of fracture toughness contrast on “kinking”
E=40GPaKIC = 0.5 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
(a) KIC1/KIC2=0.5 MPa m0.5
/0.5 MPa m0.5
15deg
(fraction)
E=40GPaKIC = 1.0 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
E=40GPaKIC =2.0 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
30 cm
15 cm
(b) KIC1/KIC2=1.0 MPa m0.5
/0.5 MPa m0.5
(c) KIC1/KIC2=1.4 MPa m0.5
/0.5 MPa m0.5
(d) KIC1/KIC2=2.0 MPa m0.5
/0.5 MPa m0.5
Kinking angle does not depend on the fracture toughness contrast.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 28
Effect of principal stress difference on “kinking”
E=10GPaKIC = 0.5 MPa m
0.5E=10GPaKIC = 0.5 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5E=10GPaKIC = 0.5 MPa m
0.5
15deg
E=40GPaKIC = 1.4 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5 E=40GPaKIC = 1.4 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5
(a) principal stress difference = 1 MPa
30 cm
15 cm
(b) principal stress difference = 6 MPa
(c) principal stress difference = 10 MPa (d) principal stress difference = 20 MPa
Kinking angle decreases with increase in stress contrast.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 29
Effect of layer dip angle on “kinking”
(a) 15deg (stress difference = 1 MPa)
E=10GPaKIC = 0.5 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5
(b) 15deg (stress difference = 10 MPa)
(c) 30deg (stress difference = 1 MPa) (d) 30deg (stress difference = 10 MPa)
(fraction)
15deg
E=10GPaKIC = 0.5 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5
E=10GPaKIC = 0.5 MPa m
0.5
E=40GPaKIC = 1.4 MPa m
0.5
30 deg
Higher layer dip angle leads to more kinking.30 cm
15 cm
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 30
Effect of Bed Dip
If the upper layer is thinner?3 different layer thickness models
5.0 cm
30 cm
15 cm1.2 cm 2.4 cm
5.0 cm
4.8 cm
5.0 cm
fracture
0 degrees models
1.2 cm5.0 cm
30 cm
15 cm 2.4 cm
5.0 cm
4.8 cm
5.0 cm
30 degrees models
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
0 5 10 15 20
Upp
er la
yer t
ough
ness
MPa
m0.
5
Principal stress difference (MPa)
Frac
ture
toug
hnes
s con
tras
t
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
10.0
Principal stress difference (MPa)20.0
0.0
0degree: E1/E2 = 40 GPa / 10 GPa
30degree: E1/E2 = 40 GPa / 10 GPa
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
0 5 10 15 20
Upp
er la
yer t
ough
ness
MPa
m0.
5
Principal stress difference (MPa)
Frac
ture
toug
hnes
s con
tras
t1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
5.0 10.0 15.0
10.0
Principal stress difference (MPa)20.0
How the criteria changes with bed dip?
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 31
Frac
ture
toug
hnes
s con
trast
Layer thickness (cm)
Frac
ture
toug
hnes
s con
trast
Layer thickness (cm)
(a) =1.0 MPa (E1/E2 = 40/10)σ∆ (b) =10.0 MPa (E1/E2 = 40/10)σ∆
layer thickness = 1.2 cm(fracture toughness contrast = 4.0 )
layer thickness = 4.8 cm(fracture toughness contrast = 4.0 )
layer thickness = 2.4 cm(fracture toughness contrast = 4.0 )
layer thickness = 10.0 cm (reference)(fracture toughness contrast = 4.0 )
: turning : crossing
(b) reference (layer thickness = 10.0 cm)
E = 40.0 GPa
E = 10.0 GPa
Effect of Layer Thickness(0 degrees cases)
(a) layer thickness = 1.2 cm
E = 10.0 GPa
E = 10.0 GPa
E = 40.0 GPa
More stress reduction than the reference case
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 32
Frac
ture
toug
hnes
s con
tras
tLayer thickness (cm)
Frac
ture
toug
hnes
s con
tras
t
Layer thickness (cm)
layer thickness = 1.2 cm(fracture toughness contrast = 4.0 )
layer thickness = 4.8 cm(fracture toughness contrast = 4.0 )
layer thickness = 2.4 cm(fracture toughness contrast = 4.0 )
layer thickness = 10.0 cm (reference)(fracture toughness contrast = 4.0 )
(a) =1.0 MPa (E1/E2 = 40/10)σ∆ (b) =10.0 MPa (E1/E2 = 40/10)σ∆
: turning : crossing
Turning criteria is strongly affected by the upper layer thickness.
The kinking angles are almost same regardless of the upper layer thickness.
Effect of Layer Thickness(30 degrees cases)
However, the magnitude of kinking is not affected by the upper layer thickness.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 33
Effect of Weak Surface
If the layer interface is damaged for some reason, how do the turning criteria change?
Investigating the same cases as the previous fully-bonded cases by setting the following shear failure criteria
Shear coefficient = 0.6
Cohesion = 0.0 MPa
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 34
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
: Turning
: Crossing
layer interface layer 1
layer 2
Branching region disappear
criteria without the weaker surface
(a) E1/ E2 = 10 GPa/10 GPa (b) E1/ E2 = 20 GPa/10 GPa (c) E1/ E2 = 40 GPa/10 GPa
(d) E1/ E2 = 80 GPa/10 GPa
Effect of Weak Surface(0 degrees cases)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 36
Effect of Weak Surface(30 degrees cases)
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
BBB
B
B
1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
BBB
B
B1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
BBB B1.0
0.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 5.0 10.0 15.0
: TurningB : Branching
layer interface
layer 1
layer 2
30 deg
Different type of branching appears in these case.
criteria without the weaker surface
(a) E1/ E2 = 10 GPa/10 GPa (b) E1/ E2 = 20 GPa/10 GPa (c) E1/ E2 = 40 GPa/10 GPa
(d) E1/ E2 = 80 GPa/10 GPa
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 37
Shale reservoirs are filled with cm scale heterogeneities (sub-layers)
Investigating how multiple layers affect fracture propagation
30 cm
30 c
m
2 cm
Well
2 cm
Well
30 cm
30 c
m
30 degree
Higher Young’s modulus
Lower Young’s modulus
(a) 0 degrees model (b) 30 degrees model
Represented by two different models with changing layer dip angle
Effect of cm Scale Sub-Layers
Passey, Q.R., et al. (2010)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 38
CaseYoung's
modulus 1(GPa)
Young's modulus 2
(GPa)
Fracture toughness 1(MPa m0.5)
Fracture toughness 2(MPa m0.5)
Energy release rate contrast between layers(hard layer/soft layer)
Layer dip angle
low_contrast 10 20 0.5 0.707 1.00 0middle_contrast 10 40 0.5 1.000 1.00 0high_contrast 10 80 0.5 1.414 1.00 0high_contrast_2 10 80 0.5 0.707 0.25 0low_contrast_dipping 10 20 0.5 0.707 1.00 30middle_contrast_dipping 10 40 0.5 1.000 1.00 30high_contrast_dipping 10 80 0.5 1.414 1.00 30high_contrast_2_dipping 10 80 0.5 0.707 0.25 30
Principal Stress Difference = 20 MPa (Shmin = 40 MPa, Svmax = 60 Mpa)
Effect of cm Scale Sub-Layers(Case Settings)
( )2 21ICc
KG
Eν−
=
The relationship among energy release rate, fracture toughness, Poisson’s ratio,and Young’s modulus in 2-D plane strain condition.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 39
Effect of cm Scale Sub-Layers(0 degrees: Low and Middle E Contrast)
E1/E2 = 20/10; KIC1/KIC2 = 0.7/0.5; Dip angle = 0Low E Contrast
Middle E Contrast
Young’s modulus Damage Sxx (MPa)
E1/E2 = 40/10; KIC1/KIC2 = 1.0/0.5; Dip angle = 0
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 40
Effect of cm Scale Sub-Layers(0 degrees: High E Contrast)
High E Contrast (Gc = const)
High E Contrast(Low Kic contrast)
Young’s modulus Damage Sxx (MPa)
E1/E2 = 80/10; KIC1/KIC2 = 1.4/0.5; Dip angle = 0
E1/E2 = 80/10; KIC1/KIC2 = 0.7/0.5; Dip angle = 0
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 41
Effect of cm scale sub-layers(30 degrees: Low and Middle E Contrast)
propagating parallel to the maximum principal stress direction
Young’s modulus Damage Sxx (MPa)
propagating slightly turning direction
Low E Contrast
Middle E Contrast
E1/E2 = 20/10; KIC1/KIC2 = 0.7/0.5; Dip angle = 30
E1/E2 = 40/10; KIC1/KIC2 = 1.0/0.5; Dip angle = 30
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 42
Effect of cm scale sub-layers(30 degrees: High E Contrast)
High E Contrast (Gc = const)
High E Contrast(Low Kic contrast)
Young’s modulus Damage Sxx (MPa)
Overall fracture propagation direction is inclined.
E1/E2 = 80/10; KIC1/KIC2 = 1.4/0.5; Dip angle = 30
E1/E2 = 80/10; KIC1/KIC2 = 0.7/0.5; Dip angle = 30
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 43
Effect of Pore Scale Heterogeneity10 cm
10 cm
Core scale heterogeneity
Pore scale heterogeneity
1.5 mm
1.5 mm
quartz or calcite
clay or kerogen
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 44
(1) Borrowing the shape of minerals from the original picture
Mineral type Young’s modulus
(GPa)
Shear modulus
(GPa)
Fracture toughness(MPa m0.5)
Quartz 95.6 44.3 2.40Calcite 83.8 32.0 0.19Clay 10.0 4 0.50
(2) Applying one of these properties to each mineral group
1.5 mm
1.5 mm
water injection
mineral group1
mineral group2
mineral group3
Effect of Pore Scale Heterogeneity(Model Construction)
Carozzi (1993)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 45
Effect of Pore Scale Heterogeneity(Case Settings)
Injection
Case 1: Quartz + Clay (mineral connections : fully bonded)
Case 2: Quartz + Clay (mineral connections: damaged)
Case 3: Quartz + Calcite + Clay (mineral connections : fully bonded)
Case 4: Quartz + Calcite + Clay (mineral connections: damaged)
Injection
(GPa)
1.5 mm
1.5
mm
Quartz
clay(GPa)
1.5 mm
1.5
mm
CalciteQuartz
clay
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 46
Case 1: Quartz + Clay No Interface Damage
Fracture initially propagates in the maximum principal stress direction.
1.5 mm
1.5 mm
(a) after 0.04
(d) after 0.3 sec (c) after 0.23 sec
(b) after 0.06 sec
Fracture turns along the mineral interface.
Fracture bypasses the turning path, and the old path closes.
Another case wherebypassing occurs.
Quartz
Clay
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 47
1.5 mm
1.5
mm
Case 1: Quartz + Clay No Interface Damage
Quartz
Clay
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 48
Case 2: Quartz + ClayInterface damageSH_max
Sh_min
Fracture basically propagates along the mineral interface from the beginning.
1.5 mm
1.5 mm
(a) after 0.16 sec (b) after 0.18 sec
(c) after 0.20 sec
Many branches appear along the mineral interfaces.
Finally the shortest path remains as the main path (bypassing).
Quartz
Clay
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 49
1.5 mm
1.5
mm
Case 2: Quartz + ClayWith Interface damage
Quartz
Clay
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 50
1.5 mm1.
5 m
m
Case 3: Quartz + Calcite + ClayNo Interface DamageSH_max
Sh_min calcitequartz
(a) after 0.01 sec (b) after 0.05 sec
(c) after 0.08 sec (d) after 0.1 sec
pre-damage zone inside the calcite
pre-damage zone inside the calcite
Main path connects pre-damage zone
Main path connects pre-damage zone
pre-damage zone inside the calcite
pre-damage zone along the calcite
Main path connects pre-damage zone
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 51
1.5
mm
1.5 mm
CalciteQuartz
Clay
Case 3: Quartz + Calcite + ClayNo Interface Damage
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 52
1.5 mm1.
5 m
m
Case 4: Quartz + Calcite + ClayInterface DamageSH_max
Sh_min
(a) after 0.01 sec (b) after 0.05 sec
(c) after 0.08 sec (d) after 0.1 sec
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 53
1.5
mm
1.5 mm
Case 4: Quartz + Calcite + ClayInterface Damage
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 54
Interaction between Hydraulic and Natural Fractures
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 55
Comparison with Experimental Results(Zhou et al. 2008)
Well
Hydraulic Fracture
Natural Fracture
30 cm
30 cm
IntractionInteraction
Parameters Value
(degree) 30, 60, 90
(MPa) 3, 5, 7, 10
θσ∆
Case Parameters
Parameters Value
Young’s modulus (GPa) 5.18
Poisson’s ratio 0.25
Matrix Permeability (mD) 0.1
Injection rate (m3/s/m) 1.05x10-9
Distance between well and natural fracture (cm)
4.0
Basic Parameters
Experimental Setting
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 56
Results
Crossed DilatedExperimentalSimulation
*Note that Deformation is exaggerated 150 times.
5MPa
8MPa
θ=30º
5MPa
10MPa
θ=90º
5MPa
8MPa
θ=60º
Fracture Crossing
Fracture Dilation
Angle of interaction, (degree)
Hor
izon
tal d
iffer
entia
l stre
ss, (
MP
a)
Ref: J. Zhou, M. Chen, Y. Jin, G. Zhang, International of Rock Mechanics & Mining Science (2008)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 57
Factors Affecting Interaction of HF with NF Including Poroelastic Effects
Well
Hydraulic Fracture
Natural Fracture
30 cm
30 cm
IntractionInteraction
1 8MPaσ = 3 5MPaσ =60degθ =
Base Case:
• Rock permeability: Poroelastic effects• Shear strength of NF (failure criteria)• NF toughness (NF critical strain)• Rock toughness and Young’s modulus • Initial Natural Fracture Permeability• Injection Rate
Change the following six parameters for sensitivity analysis:
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 58
Effect of Permeability
Permeability = 0.001 mD Permeability = 0.1 mD(Base)
Permeability = 0.01 mD
High leak-off Low effective stress(shear failure)
Fracture turning
Shear Failure Elements
(MPa)
Pore pressure distribution
Shear failure elements
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 59
Effect of Shear Strength of Natural Fracture
Coefficient = 0.89Cohesion = 0.0 MPa
Coefficient = 0.89Cohesion = 7.0 Mpa
Coefficient = 0.89Cohesion = 3.2 MPa
(Base)
0
2
4
6
8
10
12
14
-10 -5 0 5 10 15 20 25
Shea
r stre
ss (M
Pa)
Normal stress (MPa)
Mohr Circle
0.89 3.2τ σ= +
Shear Failure Criteria(Base)
0.89 0.0τ σ= +
Shear Failure Criteria(Low)
0.89 7.0τ σ= +
Shear Failure Criteria(High)
Initial Condition
Low shear strength of NF promotes HF turning
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 60
Effect of Natural Fracture Toughness
Natural FractureCritical Strain
= 0.592*10-3(Base)
Natural FractureCritical Strain = 1.183*10-3
Natural FractureCritical Strain
= 0.0
(KIC=0.87 MPa m-1/2)(KIC=1.74 MPa m-1/2) (KIC=0.0 MPa m-1/2)
Fracture toughness of NF also controls Mode I opening.
Low NF toughness Easier fracture turning
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 61
Assuming in this case ICK E∝
E = 4.0 GPa E = 8.4 GPa(Base)
E = 20.0 GPa
High matrix toughness Encouraging fracture turning
Effect of Matrix Toughness
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 62
(a) Crossing (b) Turning
(c) Re-initiating
Hydraulic fracture
Natural fracture
3-D interaction Behavior
2-D interaction behaviorIf the NF fills the entire pay zone, these 2-D interactions cover all the patterns of interaction.
However, if
fracture propagation direction
pay zone
Hydraulic FractureNatural Fractures
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 63
3-D interaction Behavior
(a) Bypassing + Turning
(b) Turning + Diverting propagation from side of NF
3-D interaction behaviors
Bahorich et al (2012)
Bahorich et. al (2012) showed more complicated 3-D interaction behavior could appear in the reservoir.
What kind of parameters affect these characteristic fracture propagation behaviors?
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 64
Case Settings(Common Parameters)
Injector
Water injection point
1.6 m
1.6 m
0.64 m
Natural fracture
= 60 MPa
= 40 MPa
= 41 MPa
Common Case ParametersParameters Value
Young’s modulus (GPa) 30.0
Poisson’s ratio 0.25
Shmax (MPa) 41
Shmin (MPa) 40
NF shear trend 0.5
NF cohesion 0.0
Upper and lower boundary were fixed for mimicking boundary layers.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 65
Case SettingsEffect of NF height, Position, and Tensile Strength
fracture propagation direction
pay zone
(0.6m)
Hydraulic Fracture Natural Fracture
0.3 m60deg
fracture propagation direction
pay zone
(0.6m)
Hydraulic Fracture Natural Fracture
60deg
fracture propagation direction
pay zone
(0.6m)
Hydraulic Fracture Natural Fracture
0.3 m60deg
Case 1 (full height)
Case 2 (lower half)
Case 3 (lower half + weak TS)
fracture propagation direction
pay zone
(0.6m)
Hydraulic Fracture Natural Fracture
0.3 m60deg
0.15 m
0.15 m
Case 4 (middle half)
Case 5 (lower one-third)
fracture propagation direction
pay zone
(0.6m)
Hydraulic Fracture Natural Fracture
0.2 m 60deg
0.4 m
weaker tensile strength
weaker tensile strength
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 66
Injector
Natural fracture
1.6 m
0.64 m
1.6 m
Results (Case 1: Reference)
60 deg
Turning
(a) side-top view (b) front-top view
(c) top view
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 67
Results (Case 2: Lower Half NF)
1.6 m
0.64 m
1.6 m
Bypassing + TurningInjector
(a) side-top view (b) front-top view
(c) top view(c) top view
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 73
Growth of Multiple Fractures in Naturally Fractured Reservoirs
8265 psia
7975psia
2600 ft
2600 ft
No-NF model
5 non-competing fractures
200 ft
The same amount of water is injected from the each injection point.
8265 psia
7975psia
2600 ft
2600 ft
NF model
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 74
Fracture Growth from 5 Clusters
Outside ones are lower,Center one is the highest.
Initially outside ones are longer, Center one is thicker
(after 2500 sec)
1300
ft
1300 ft
Damage Distribution Fracture Pressure Distribution
(fraction) (GPa)
10875 psi
7975 psi
Later, the center one grows longer with narrower thickness near wellbore
(after 4000 sec)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 75
Multiple Fracture Growth with NF
(fraction) (MPa)
Damage Distribution Fracture Pressure Distribution
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 76
Conclusions
• A new peridynamics based hydraulic fracturing model was developed by modifying the existing elastic formulation to include poroelasticity and coupling it with the new peridynamics formulation for fluid flow.
• This model can simulate non-planar, multiple fracture growth in arbitrarily heterogeneous reservoirs by solving deformation of the reservoir, fracturing fluid pressure and pore pressure simultaneously.
• The validity of the model was shown through comparing model results with analytical solutions (1-D consolidation problem, the KGD model, the PKN model, and the Sneddon solution) and experiments.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 77
Conclusions
• The effects of different types of layer heterogeneity on fracture propagation were systematically investigated.
• The factors controlling characteristic fracture propagation behaviors (“turning”, “kinking”, and “branching”) near the layer interface were quantified.
• In layered systems, the mechanical property contrast between layers, the dip angle, the stress contrast and poroelastic effects all play an important role in controlling the fracture trajectory.
• It was shown that even at the micro-scale, fracture geometry can be quite complex and is determined by the geometry and distribution of mineral grains and their mechanical properties.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 78
Conclusions
• The principal stress difference, the approach angle, the fracture toughness of the rock, the fracture toughness of the natural fracture, and the shear strength of the natural fracture when hydraulic fractures interact with natural fractures.
• The 3-D interaction study elucidated that the height of the NF, the position of the NF, and the opening resistance of the NF have a huge impact on the three-dimensional interaction behavior between a HF and a NF.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 79
Publications• H. Ouchi, A. Katiyar, J.T. Foster, and M.M. Sharma. A Peridynamics Model for
the Propagation of Hydraulic Fractures in Heterogeneous, Naturally Fractured Reservoirs. In SPE Hydraulic Fracturing Technology Conference, SPE-173361-MS. Society of Petroleum Engineers, February 2015. doi:10.2118/173361-MS
• H. Ouchi, J.R. York, A. Katiyar, J.T. Foster, and M.M. Sharma. A Peridynamics Model of Fully-Coupled Porous Flow and Geomechanics for Hydraulic Fracturing. Computational Mechanics, 2016. doi:10.1007/s00466-015-1123-8, 2015.
• “A Peridynamic Formulation of Pressure Driven Convective Fluid Transport in Porous Media”. Journal of Computational Physics, Vol. 261, pp. 209-229, January, 2014, Amit Katiyar, John T. Foster, Hisanao Ouchi, Mukul M Sharma.
• A Peridynamics Formulation of the Coupled Mechanics-Fluid Flow Problem”, Workshop on Nonlocal Damage and Failure: Peridynamics and Other Nonlocal Models, San Antonio, March 2013.
“A Non-Local Peridynamic Formulation for Convective Flow in Porous Media”, USACM's 12th U.S. National Congress on Computational Mechanics, Raleigh, North Carolina, July 2013.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 80
Future Work
• Improvement of Computation Efficiency
• Model Extension/Improvement
• Effect of heterogeneities at different scales
Integration of peridynamics models with finite element models
More efficient solvers, pre-conditioners
Non-Newtonian fluid
Proppant transport
How smaller scale propagation behavior affects the larger scale propagation behavior
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 81
Acknowledgement
This work is supported by DOE Grant NO. DE-FOA-0000724 and by the generous support of 35 member companies participating in the JIP on Hydraulic Fracturing and Sand Control at The University of Texas at Austin.
Questions?
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 82
Backup Slides
Project Schedule and Outcomes
Project Schedule and Outcomes
Impacts
• The developed fracturing model and procedures would be applicable to all shale oil and gas resources that are more likely to have natural fractures and consequently result in more complex fracture patterns.
• This realistic model of hydraulic fracture propagation will allow better understanding of- the effects of fracture design on the stimulated rock volume and- well performance to potentially improve fracture and well design.
• Both the modeling and the fracturing recommendations from this work are expected to have an immediate and long-term impact and benefit.
• Both items above should result in significant performance improvements and cost savings thereby allowing more wells to be drilled for the same annual budget.
• Cost reductions and smaller overall footage drilled will result in more economic wells and longer economic well lives resulting in a 5 to 10% increase in the recovery of oil and gas from these unconventional plays.
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 86
Classical model: 𝛻. 𝜌[𝒙𝒙]𝜇𝑲 𝒙𝒙 .𝛻Φ 𝒙𝒙 + 𝑟 𝒙𝒙 = 𝟎
Develop its variational problem and infer the quadratic functional
𝐼𝐼 𝒙𝒙 = � 𝑍 𝛻Φ 𝐱 dVx − �𝑟 𝒙𝒙 Φ 𝒙𝒙 𝑑𝑉𝑥ℬℬ
𝑍 𝛻Φ 𝒙𝒙 =12𝛻Φ 𝒙𝒙 .
𝜌 𝒙𝒙𝜇𝜇
𝑲 𝒙𝒙 .𝛻Φ 𝒙𝒙 .
Remove restrictions on Z• Remove Locality: let 𝑍 depend on points 𝒙𝒙′ finite distance away from 𝒙𝒙
• Remove Continuity: let 𝑍 admit discontinuities in Φ
𝑍 ≡ �̂� = �̂� Φ 𝒙𝒙′ ,Φ 𝒙𝒙 , 𝒙𝒙′,𝒙𝒙
= �̂� Φ′,Φ,𝒙𝒙′,𝒙𝒙
= �̂� Φ′ − Φ , 𝒙𝒙′ − 𝒙𝒙
= �̂� Φ, 𝝃
State-based Peridynamic Formulation Derivation (1)
Multiplied by Test function
We want to express Z as a function of potential difference and position difference instead of partial differentiation form
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 87
State-based Peridynamic Formulation Derivation(2)
𝐼𝐼 𝒙𝒙 = � �̂� Φ[𝒙𝒙] 𝑑𝑉𝑥 − �𝑟 𝒙𝒙 Φ 𝒙𝒙 𝑑𝑉𝑥ℬℬ
, Φ 𝒙𝒙 𝝃 = Φ 𝒙𝒙′ − Φ 𝒙𝒙
Assume peridynamic analogue of the quadratic functional
The stationary value of 𝑰� 𝒙𝒙 at 𝜹𝑰� 𝒙𝒙 = 𝟎 leads to peridynamic equation
𝛿𝐼𝐼 𝒙𝒙 = � � −𝛻�̂� 𝒙𝒙 𝝃 + 𝛻�̂� 𝒙𝒙′ −𝝃ℬ
𝑑𝑉𝑥′ + 𝑟 𝒙𝒙 𝛿Φ 𝒙𝒙 𝑑𝑉𝑥 = 0ℬ
Fréchet derivative: 𝛿�̂� Φ 𝒙𝒙 = ∫ 𝛻�̂� 𝝃 . 𝛿Φ 𝝃 𝑑𝑉𝑥′ℬ
𝑄𝑄 𝒙𝒙 𝝃 = −𝛻�̂� 𝒙𝒙 𝝃
Peridynamic model: 𝜕𝜕𝑡
𝜌[𝒙𝒙]∅[𝒙𝒙] = ∫ 𝑄𝑄 𝒙𝒙 𝝃 − 𝑄𝑄 𝒙𝒙′ −𝝃 𝑑𝑉𝑥′ + 𝑅 𝒙𝒙ℋ𝑥
arbitrary
Minimizing this formulation gives us peridynamic fluid flow formulation
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 88
Defining peridynamics way of I[x]
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 89
Same procedure as local mocel with Frechet derivertive
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 90
ρ = −∇⋅u σ
( ) ( )21 1,2 2i ij kk ij ijL L u T U Gε ρ λ ε ε ε = = − = ⋅ − +
u u
2ij kk ij ijGσ λε δ ε= +
2 2
1 1
2
1
2 2
1 1
12
t t
t t V
t
i ijt Vi ij
t t jiiV t t V
i ij j i
Ldt LdVdt
L Lu dVdtu
uuL Lu dtdV dVdtu x x
δ δ
δ δεε
δ δε
=
∂ ∂= ⋅ +
∂ ∂
∂∂∂ ∂= ⋅ + + ∂ ∂ ∂ ∂
∫ ∫ ∫
∫ ∫
∫ ∫ ∫ ∫
2 2
1 1
2
1
3 3
1 1
3
1
12
t t
i i jV t t V Vj ii j ij i ij
t
it Vji j ij
d L L Lu dtdV u u dVdtdt u x x
d L L u dVdtdt u x
δ δ δε ε
δε
= =
=
∂ ∂ ∂ = − ⋅ + − ⋅ + ⋅ ∂ ∂ ∂ ∂ ∂ ∂ ∂ = − − ⋅ ∂ ∂ ∂
∑ ∑∫ ∫ ∫ ∫ ∫
∑∫ ∫
( )
3
1
3
1
0
2 0
2 0
ji j ij
ijkki ij
j j j
i ij kk ijj
d L Ldt u x
u Gx x
u Gx
ε
εερ λδ
ρ λδ ε ε
=
=
∂ ∂− − = ∂ ∂ ∂
∂∂⇔ − − + = ∂ ∂
∂⇔ − − + =
∂
∑
∑
( )( )2 2
1 1
0 0t t
t tLdt T U dtδ δ= − =∫ ∫
( )( ) ( )
( )( ) ( ) ( )( )
( )( ) ( ) ( )( ) ( ){ }
2
1
2
1
2
1
'
'
' '
'
'
t
t
t
t
t
t
dV dV dt
dV dV dt
dV dV dV dV dt
δ δ
δ δ
Β Β
Β Β
Β Β Β Β
= ∇Ψ ⋅∆
= ∇Ψ ⋅ −
= ∇Ψ ⋅ − ∇Ψ ⋅
∫ ∫ ∫
∫ ∫ ∫
∫ ∫ ∫ ∫ ∫
x x
x x
x x x x
Y x ξ Y x ξ
Y x ξ u x u x
Y x ξ u x Y x ξ u x
2 2
1 1
t t
t tTdt p dVdtδ δ
Β= − ⋅∫ ∫ ∫ u u
( )( ) ( )( )( )( )( )2
1'' 0
t
tp dV dV dtδ
Β Β
− − ∇Ψ − −∇Ψ ⋅ = ∫ ∫ ∫ xu Y x ξ Y x ξ u
( )( ) ( )( )( )( ) ( )( )
( )t t T∇Ψ = = =⋅
Y x ξY x ξ M x ξ
Y x ξ Y x ξ
( ) ( )( ) ''p T T dVΒ
= − −∫ xu x ξ x ξ
( )( )2 2
1 1
t t
t tUdt dV dtδ δ
Β= Ψ∫ ∫ ∫ xY x ξ
( )( ) ( ) ( )( ) ( )( )( )( ) ( ) ( )( )2
dV O
δ
Β
Ψ = Ψ + ∆ −Ψ
= ∇Ψ ⋅∆ + ∆∫ ξ
Y x ξ Y x ξ Y x ξ Y x ξ
Y x ξ Y x ξ Y x ξ
Local Theory Peridynamics Theory
Kinetic Strain Energy Density
Frechet Derivative
( ) ( )( )1,2i ijL L u T U dV dVε ρ
Β Β= = − = ⋅ − Ψ∫ ∫ xu u Y x ξ
Kinetic Strain Energy Density
Inserting
finding stationary value
finding stationary value
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 91
Local Theory Peridynamics Theory
[ ] 0Iδ =x
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 92
Results for a Benchmark Flow Problem
Steady State
Injector
Producer
5-spot well pattern
y (m
)x (m)
Pressure contours, (Analytical)MPa
𝑘𝑘 =100 mD = 10−13 𝑚𝑚2
𝜇𝜇 =0.001 Pa.s
𝑄𝑄𝑇𝑇 𝒙𝒙 = 0.001 𝑚𝑚3
𝑠𝑠
𝑁𝑁 =100
x
y
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 93
Results for a Benchmark Flow Problem
Steady State
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 94
Constitutive Equations Porosity equations
( )( )
( ) ( ) ( )( ){ }( )( ) ( ) ( )( ) ( ) ( )( ){ }
11 1
1 1_ _ _
1
1
npin n n n
i i r i ibi
n n n n nmlocal i r i i mlocal i mlocal i
VC P P
V
C P P
φ φ
α θ θ θ
++ +
+ +
= = − −
+ + − + −
( )( )
( )1
1 1_ @ _
nfin n
fi local i local crit damagebi
VV
φ θ θ+
+ += = −
{ }2
_1
localN
local i i j i jj
m dVω=
= −∑ x x
( )( ) ( ) ( )( )1 11
1_
1 1_ _
local localn nnN N i j i j i j i ji j i i jn
local ij jlocal i local i
dVe dV
m m
ωωθ
+ +++
= =
− − − − − = =
∑ ∑x x y y x xx x
( )( ) ( ) ( )( )( )1 1* 1
1_
1 1_ _
min ,slocal local
n nnN N i j i j i crit j i ji j i i jnmlocal i
j jlocal i local i
dVe dV
m m
ωωθ
+ +++
= =
− − − − = =
∑ ∑x x y y x xx x
where,
xixj
yi
yj
( )* min ,si j i crit j i j ie = − − − −y y x x x x
Injector
Shmin
Matrix Volume = Pore Volume = Fracture Volume =
bV
pV
fV
Fracture Permeability Equation
( )22
0 ( )
2( )
12 12
f crit
ini fcrit
k if d d
Lw if d dφ
= <
= = ≥
w
Fracture Width
2 ini fw L φ
Initial Element Length
matrix
fracture
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 95
Constitutive Equations( ),iI x t• Flow between pore and fracture in a element
( )( )_, mi i fi mii inner
ibi bi i
k A P PqI x t
V V lµ
−= =
∆
[ ] ( )( ) ( )( )( ) ( )
1 1
1 1, , 3 5 3 15
n nj ij j j j ji i i i i
i j i j i j j i i n ni j i j i j j i
PPT t T t K G G em m m m m m
θ ω ω ωθ ω ω ωα+ +
+ +
− − − − = − + − + − + + −
y yx x x x x x x x
y y
For bonds not passing through fracture surface
[ ]( ) ( )( )( ) ( )
1 1
1 1, , 3
n nj iji
i j i j i j fk j i n ni j j i
T t T t Pm m
ωω+ +
+ +
− − − − = + − −
y yx x x x x x x x
y y
For bonds passing through fracture surface
• Flow Scalar State
• Force Scalar State
[ ]( )( ) ( )4
0.25, , mi mimi
m i j i m j i j mj mi
traceQ t Q t P P
γρµ ξ
− − − − = −
ξ K K I ξx x x x x x
For matrix
For fracture[ ] ( )_
2, ,2
fi i ijf i j i f j i j fj fi
kQ t Q t P P
γρµ ξ
− − − = − x x x x x x
Pj
Pi
Fracture SurfacePfk
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 96
How to apply constant stress boundary condition?Constant stress boundary condition is given as a body force in the elements which distance from the boundary is less than horizon size.
Example case: horizon size = 3 delta (boundary forces are given to three layers from the boundary)
- First layerBoundary
- Second layerBoundary
- Third layerBoundary
Ghost node
Actual node
13
ghostNji
boundary bounary j i jj i j
b x x Vm m
ωω ξτξ=
= − + − ∑
Body force
*note that the equation above is for 3D.
12
ghostNji
boundary bounary j i jj i j
b x x Vm m
ωω ξτξ=
= − + − ∑
(for 2D)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 97
Fracture Surface ConnectionWe want to limit our fracture elements in 1st line even if 2nd line damage exceeds a critical damage. How?
1st line
2nd lineAdditional constraints for fracture flow
1st line2nd line
• Defining which surface has fracture in each element• One element cannot have two independent frac. Surface• New fracture surface must connecting pre existing fracture surface
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 98
Comparison with KGD solution(Fracture Pressure Distribution after 80 sec)
Permeability as a function of width Infinite Conductivity
Simulation
KGD
Simulation
KGD
*note that Shmin = 8 MPa, Deformation is exaggerated 2000 times.(MPa)
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 99Ref:
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 100
0
5
10
15
20
0
10
20
30
40
0 20 40 60 80 100 120 140
CALC
ULAT
ION
TIM
E (H
OUR)
SPEE
D UP
NUMBER OF CPU
Speed upCalc. time
Parallel Performance
About 30 times speed up by 128 CPU
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 101
Biot Consolidation Validation
• Young’s modulus (GPa) = 30
• Poisson’s ratio = 0.25
• Porosity = 0.02
• Permeability (mD) = 6
• Biot coefficient = 0.6667
• Initial pore pressure (MPa) = 3.82
• Fluid: Water
Jaeger J.C et al, Fundamentals of Rock Mechanics, forth edition, 189-P194
x
yz
Roller no-flow boundary
Fixed no-flow boundary
Pref = 3.82 MPa
Stress = 10 MPaConstant pressure boundary
(Pb =0.1 Mpa)
flow
h
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 102
Results: Pressure and Deformation
x
yz
x
yz
time < 0 time > 0
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 103
i
j
Disassembling original force vector state into two directions
Natural FractureSurface
NFn
sijf_sij nf_tsijf
1NF =n
Deleting tangential force vector state once shear failure criteria is satisfied
Shear Failure Model in Peridynamics
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 104
Results (Case 2: Lower Half NF)
NF
HF
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 105
Results (Case 4: Middle Half NF)
NFHF
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 106
Investigation of Fracture Propagation Behavior in 3 Layers
Injector
If the layer is sanded by the two different Young’s modulus layers, the fracture always propagate more to the softer layer at first.
High E
Low EHowever, after reaching the layer interface with the low Young’s modulus layer, the fracture propagation behavior changes with mechanical properties of each layer.
Which parameter governs the preferential fracture propagation direction?
Injector
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 107
30 cm
10 cm
10 cm
10 cm
Vσ
1Hσ
2Hσ
3Hσ
Layer 1
Layer 2
Layer 3
Injector
E1, KIC1
E2, KIC2
E3, KIC3
Model Description
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 108
E 40/20/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (Gc 11.7/11.7/11.7 J/m2)
E 20/40/10 GPa, KIC 0.5/0.707/0.354 MPa m0.5
Sxx 40/40/40 MPa (Gc 11.7/11.7/11.7 J/m2)
E 40/12/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (Gc 11.7/19.5/11.7 J/m2)
E 40/20/10 GPa, KIC 1.2/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (Gc 23.4/11.7/11.7)
E 40/20/10 GPa, KIC 1.6/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (Gc 33.8/11.7/11.7)
E 40/20/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 45/40/40 MPa (Gc 11.7/11.7/11.7 J/m2)
E 40/10/20 GPa, KIC 0.707/0.354/0.5 MPa m0.5
Sxx 40/40/40 MPa(Gc 11.7/11.7/11.7 J/m2)
E 40/20/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 50/40/40 MPa (Gc 11.7/11.7/11.7 J/m2)
Results
Which parameter controls the preferential propagation direction?
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 109
Theoretical Consideration(Critical Displacement)
[ ] [ ]{ }( ) * *
0, ',finalt
T t T t dω = − −∫η
ξ x ξ x ξ η( )2 2
3 3
9 194 4
ICcc
KGE
νω
δ δ
−= =
If
[ ]
( )
*
23 8,
23 8
2 3 5 83
d
d
GKGT t x e
m m
GKGx e
m m
K G Gem
θω ω
θω ω
ω θ
− + = + +
− + = + + + = − + +
ξ ηx ξ ξ ξξ η
ξ ηξ ξξ η
ξ ηξ η
cω ω>ξ , bond will break.
[ ] [ ] [ ]*0, ,T t t t T+
= ++
ξ ηx ξ x ξ x ξξ η
background force vector state
For the simplicity, here we neglect back ground vector state term and poroelastic effect.
3de e xθ
= −ξ ξ ξinserting
If we assume Poisson's ratio = 0.25 and for the simplicity, the equation above becomes the function of E and delta.
( ) ( ) ( )4 4
31648585
EG Em πδ πδ
+ + + = + − = + − = + − + + +
ξ η ξ η ξ ηξ η ξ ξ η ξ ξ η ξξ η ξ η ξ η
e = + −ξ ξ η ξ
1.0ω =
42 2
0 0 2m r rd dr
δ π πδω ϕ= =∫ ∫
To break a bond, how much deformation is necessary?
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 110
If we consider the element separation in the same direction as ,
Theoretical Consideration
[ ] [ ]{ }( )
( )( )
* *
0
40
, ',
965
final
final
t
t
T t T t d
E d
ω
πδ
= − −
+= + −
+
∫
∫
η
ξ
η
x ξ x ξ η
ξ ηξ η ξ ηξ η
ξ
+ξ ηξ
[ ] [ ]{ }( )
( )( )
* *
0
40
24
, ',
965
485
final
final
t
t
T t T t d
E d
E
ω
πδ
πδ
= − −
+= + −
+
∫
∫
η
ξ
η
x ξ x ξ η
ξ ηξ η ξ ηξ η
η
( )
( )
2 22
4 3
2 2
2
9 1485 4
15 1
6445256
c
IC
IC
IC
KEE
K
EKE
ω ω
ν
πδ δ
ν δ
δ
>
−⇔ >
−⇔ >
⇔ >
ξ
η
η
η
The critical displacement for breaking a bond is proportional to
ICKE
DOE Project Review, Sharma, University of Texas at Austin8/23/2016 111
K/E and horizontal stress control the preferential stress direction.
E 40/20/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (KIC/E 0.018/0.025/0.035)
E 20/40/10 GPa, KIC 0.5/0.707/0.354 MPa m0.5
Sxx 40/40/40 MPa (KIC/E 0.025/0.018/0.035)
E 40/10/20 GPa, KIC 0.707/0.354/0.5 MPa m0.5
Sxx 40/40/40 MPa(KIC/E 0.018/0.035/0.025)
E 40/12/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (KIC/E 0.018/0.042/0.035)
E 40/20/10 GPa, KIC 1.2/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (KIC/E 0.03/0.025/0.035)
E 40/20/10 GPa, KIC 1.6/0.5/0.354 MPa m0.5
Sxx 40/40/40 MPa (KIC/E 0.04/0.025/0.035)
E 40/20/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 45/40/40 MPa (KIC/E 0.018/0.025/0.035)
E 40/20/10 GPa, KIC 0.707/0.5/0.354 MPa m0.5
Sxx 50/40/40 MPa (KIC/E 0.018/0.025/0.035)