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Shale Gas Transport ModelYou Nan
Professor: Lau Hon Chung
Department of Civil and Environment Engineering
Outline
➢Background
➢Mathematical model
➢Model application
➢Summary
2
Background
(E. Basma, 2016)
1
FE-SEM images of Longmaxi shale(Y. Wang et al., 2014)
Background4
2
SEM of Barnett shale (Ambrose et al., 2010)
Background
SEM of Eagle Ford shale (Naraghi et al., 2015)
c d
3
porosity
Matrix porosity
Organic porosity
Inorganic porosity
Natural fracture
Hydraulic fracture
Background
(Liu et al., 2016)
Na
no-p
ore
• Organic pores
• Inorganic pores
4
Outline
➢Background
➢Mathematical model
➢Model application
➢Summary
7
Bulk gas model
(Song and et al., 2017)
Knudsen number
𝐊𝐧 =𝑴𝒆𝒂𝒏 𝒇𝒓𝒆𝒆 𝒑𝒂𝒕𝒉 𝒐𝒇 𝒈𝒂𝒔𝒎𝒐𝒍𝒆𝒄𝒖𝒍𝒆𝒔
𝒑𝒐𝒓𝒆 𝒅𝒊𝒂𝒎𝒆𝒕𝒆𝒓=
𝛌
𝟐𝒓
Mathematical model
Mean free path of gas molecules
𝝀 =𝝁
𝒑
𝝅𝒛𝑹𝑻
𝟐𝑴
Knudsen diffusionKnudsen diffusion & Slip
8
5
(Song and et al., 2017)
p pressure m Particle mass
μ viscosity r Particle position
v velocity P Momentum
F Force field f(r, P, t) Probability density function of particles
Mathematical model
Darcy’s Law
Navier-Stokes equation
Boltzmann equation
Effect of collisions between particles
Knudsen diffusionKnudsen diffusion & Slip
6
Introduction
(Wu et al., 2016)
• Gas slippage
• Knudsen diffusion
• Surface diffusion
• Molecular diffusion
Mathematical model
Bulk gas
Adsorbed gas
Dissolved gas
10
7
ሶ𝑚𝑣 Mass flux of slip flow (viscous flow) per area ሶ𝑚𝑘 Mass flux of Knudsen diffusion per area
𝜁 Slip coefficient Dk Knudsen diffusion coefficient
ҧ𝑣 Thermodynamic molecular mean velocity 𝐷f Fractal dimension of the pore surface
αTangential momentum accommodation
coefficient at the pore wall (TMAC)δ
Ratio of normalized molecule size to local average
pore diameter
Mathematical modelBulk gas flow = Slip flow + Knudsen diffusion
Knudsen diffusion term
(S. Cruener and P. Huber, 2008)
Modified Hagen-Poiseuille’s equation (Brown et al.,1946)
8
In nano-pores, the number of collisions occurring within
a unit time period can be expressed as
𝑛𝑇 =1
𝑡𝑀+1
𝑡𝑆where
𝑡𝑀 =λ
ҧ𝑣
𝑡𝑆 =2𝑟
ҧ𝑣Therefore
𝜔𝑣 =
1𝑡𝑀
1𝑡𝑀
+1𝑡𝑆
=
ҧ𝑣λ
ҧ𝑣λ+
ҧ𝑣2𝑟
=1
1 +λ2𝑟
=1
1 + 𝐾𝑛
𝜔𝑘 =
1𝑡𝑆
1𝑡𝑀
+1𝑡𝑆
=
ҧ𝑣2𝑟ҧ𝑣λ+
ҧ𝑣2𝑟
=1
2𝑟λ+ 1
=1
1 + Τ1 𝐾𝑛
Mathematical model
Slip flow
𝑴𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝒄𝒐𝒍𝒍𝒊𝒔𝒊𝒐𝒏
𝑶𝒗𝒆𝒓𝒂𝒍𝒍 𝒄𝒐𝒍𝒍𝒊𝒔𝒊𝒐𝒏
Knudsen diffusion
𝑾𝒂𝒍𝒍 −𝒎𝒐𝒍𝒆𝒄𝒖𝒍𝒆 𝒄𝒐𝒍𝒍𝒊𝒔𝒊𝒐𝒏
𝑶𝒗𝒆𝒓𝒂𝒍𝒍 𝒄𝒐𝒍𝒍𝒊𝒔𝒊𝒐𝒏
Weighting coefficients?
Mean free path of gas molecules
Mean velocity of gas molecules
Pore diameter
Mean velocity of gas molecules
9
Gas transport modelMathematical model
2. Surface diffusion
Hopping model (Y.D. Chen, R.T. Yang, 1991)
Molecule-molecule collision
1. Bulk gas flow
Slip flow Knudsen diffusion
Molecule-wall collision
3. Total mass flux for one cylindrical capillary
𝑟𝑒𝑓𝑓
𝑟
4. Definition of flow conductance Viscous/slip flow
Knudsen diffusion
Surface diffusion
13
10
Influence factors
Stress dependence The nano-pore radius considering the
stress-sensitive effect can be expressed as
(Dong et al., 2010)
pc Overburden pressure
pe Effective pressure
p pore pressure
sShale permeability
coefficient
qShale porosity
coefficient
r0
Intrinsic pore radius at
atmospheric pressure
po atmospheric pressure
Mathematical modelInfluence factors
14
11
Influence factors
Ideal gas law
pV=nRT
Real gas equation
pV=znRT
z factor
Real gas effect Gas adsorption
Langmuir adsorption model
θ Gas coverage
𝑝𝐿 Langmuir pressure
𝑑𝑚 Gas molecule diameter
Mathematical modelInfluence factors
15
12
Slip flow
Knudsen diffusion
Surface diffusion
Mathematical model
Flow conductance (N. You model)
13
Bulk gas transport model
S.K. Loyalka and S.A.
Hamoodi (1990) simulated
rarefied nitrogen flow in a
cylindrical tube using linearized
Boltzmann molecule model.
Fitting factor: 𝛼 =0.99
Model validation
Mbi: mass flux of bulk gas
Mci: mass flux of Darcy flow (𝜋𝜌𝑟4
8𝜇
𝑑𝑝
𝑑𝑥)
Mki: mass flux of Knudsen diffusion
14
Outline
➢Background
➢Mathematical model
➢Model application
➢Summary
18
Parameter Symbol Unit Value
Shale permeability coefficient s Dimensionless 0.08
Shale porosity coefficient q Dimensionless 0.04
Overburden pressure pc MPa 50
Temperature T K 423
Gas type CH4 - -
Langmuir pressure pL MPa 6.72
TMAC α - 0.5
Fractal dimension of the pore
surface𝐷𝑓 - 2.6
Ratio of normalized molecule size
to local average pore diameterδ - 0.7
Model application19
15
A quick applicationModel application
Contribution of different mechanisms ( Ct=Cv+Ck+Cs )
20
16
Model application
Extrapolation from lab condition to in-situ condition
Lab condition
In-situ condition
0~50MPa
340K
CH4
5MPa
300K
N2• No gas adsorption
• No surface diffusion
• No stress dependence
• Full flow mechanisms
• All influence factors
17
Model application
Extrapolation from lab condition to in-situ condition
Pore size distribution : {r1, r2, … , rn} → {∅1, ∅2, … , ∅𝑛}
𝐶𝑡 =
1
𝑛
∅𝑖𝐶𝑡𝑖
18
Conclusion
Gas transport model
• Account for all flow regimes
• Consider real gas effect, stress dependence and gas adsorption effect
Gas transport model
• When r>10 nm, gas flow is dominated by slip flow.
• When r<5 nm, gas flow is dominated by surface diffusion.
• Knudsen diffusion only makes a relatively significant contribution to the total flow
conductance when p<1000 psi.
19
Conclusion
Relationship between experimental and in-situ data
• Experimental measurement overestimates permeability of shale.
• As reservoir pressure increases, in-situ permeability decreases to a certain point
(more gas adsorption, less surface diffusion, Knudsen diffusion, gas slippage) and
then increases due to decreasing effective pressure.
Future study
• Lab measurement of shale permeability under reservoir condition, aiming to further
validate and possibly improve the mathematical model.
• Application of the proposed mathematical model in reservoir simulation, helping
predict production and optimize exploitation strategy.
20
Thank you!You Nan
Model application
-100
-50
0
50
100
0 1000 2000 3000 4000 5000 6000 7000
I L(%
)
p (psi)
2 nm
real gas stress dependence adsorption layer
-100
-50
0
50
100
0 1000 2000 3000 4000 5000 6000 7000
I L(%
)
p (psi)
10 nm
real gas stress dependence adsorption layer
-100
-50
0
50
100
0 1000 2000 3000 4000 5000 6000 7000
(IL
(%)
p (psi)
5 nm
real gas stress dependence adsorption layer
Influence level of different factors (T=423 K)
y axis: 𝑰𝑳 =𝑪𝒕 (𝒊𝒈𝒏𝒐𝒓𝒆 𝒐𝒏𝒆 𝒊𝒏𝒇𝒍𝒖𝒆𝒏𝒄𝒆 𝒇𝒂𝒄𝒕𝒆𝒓)−𝑪𝒕
𝑪𝒕× 𝟏𝟎𝟎%
26
Model application
-100
-50
0
50
100
0 1000 2000 3000 4000 5000 6000 7000
I L(%
)
p (psi)
100 nm
real gas stress dependence adsorption layer
-100
-50
0
50
100
0 1000 2000 3000 4000 5000 6000 7000
I L(%
)
p (psi)
50 nm
real gas stress dependence adsorption layer
-100
-50
0
50
100
0 1000 2000 3000 4000 5000 6000 7000
I L(%
)
p(psi)
25 nm
real gas stress dependence adsorption layer
Influence level of different factors (T=423 K)
27
Model application
Influence of real gas effect
-4
-2
0
2
4
6
8
10
12
0 10 20 30
Ψ(%
)
p(MPa)
r=5nm (You) r=50nm (You) r=500nm (You)
T=380 K
-4
-2
0
2
4
6
8
10
12
0 10 20 30
Ψ(%
)
p(MPa)
r=5nm (You) r=50nm (You) r=500nm (You)
T=330 K
-4
-2
0
2
4
6
8
10
12
0 10 20 30
Ψ(%
)
p(MPa)
r=5nm (You) r=50nm (You) r=500nm (You)
T=423 K
28