Simulation Study on the Effect of Fracturing Technology on the Production Efficiency of Natural Gas Hydrate
Abstract
:1. Introduction
2. Simulation Preparation
2.1. Numerical Model and Simulation Parameters
2.1.1. Numerical Simulation Code
2.1.2. System Parameters and Initialization of the Model
2.2. Design of the Production Well and Fracturing Crack
2.2.1. Production Well Design
2.2.2. Fracturing Crack Design
- To consider the influence of the main fracture, secondary cracks after fracturing were ignored;
- Cracks only formed in the horizontal direction;
- There was only water in the cracks, without hydrate or broken rock particles.
3. Simulation Results and Discussion
3.1. Effect of Crack Quantity on the Efficiency of Natural Gas Hydrate Exploited by Depressurization
3.1.1. Spatial Distributions of SH
3.1.2. Spatial Distributions of P
3.1.3. Production Rate and Cumulative Volume of CH4
3.2. Effect of Crack Spacing on the Efficiency of Natural Gas Hydrate Exploited by Depressurization
3.2.1. CH4 Production Rate and Cumulative Volume
3.2.2. Spatial Distribution of SH
4. Conclusions
- The exploitation of a fractured NGH reservoir using the depressurization method increased the transfer rate of the pressure drop to the interior NGH layer, and adjacent cracks promoted hydrate decomposition.
- The exploitation of a fractured NGH reservoir using the depressurization method increased CH4 production rates by a maximum of 25.62%, and CH4 production rates increased with increasing crack quantity, although the growth range was reduced.
- The exploitation of NGH reservoirs with different crack spacings (Δl = 1 m, 2 m, 3 m and 5 m) using the depressurization method initially increased, and then decreased the CH4 production rate and cumulative volume, which indicated that Δl = 3 m was the most favorable crack spacing for NGH exploitation, and the cumulative volume of CH4 increased by 43.49%.
Acknowledgments
Author Contributions
Conflicts of Interest
Notation
z | position of HBL below ocean surface | (m) |
ZH | HBL thickness | (m) |
H1 | Depth of HBL below seafloor | (m) |
H2 | Depth of seafloor | (m) |
G | Thermal gradient below seafloor | (°C/m) |
P0 | Initial pressure (at base of HBL) | (MPa) |
ΔP | Production pressure | (MPa) |
Pcap | Capillary pressure | (MPa) |
P01 | Atmosphere pressure | (Pa) |
T0 | Initial temperature (at base of HBL) | (°C) |
kx, ky, kz | Intrinsic permeability | (m2) |
kc | Permeability of fracturing cracks (h2 = 10 mm) | (m2) |
krA | Aqueous relative permeability | (m2) |
krG | Gas relative permeability | (m2) |
Kdry | Dry thermal conductivity | (W/(kg·°C)) |
Kwet | Wet thermal conductivity | (W/(kg·°C)) |
KΘ | Thermal conductivity | (W/(kg·°C)) |
Φ | Porosity | |
ρR | Grain density | (kg/m3) |
SH | Saturation of natural gas hydrate | |
SA | Saturation of aqueous | |
r | Radius | (m) |
Xs | Salinity | |
λ | Van Genuchten exponent—Table 1 | |
h | Crack height | (mm) |
Lf | Crack length | (m) |
Δl | Crack spacing | (m) |
Subscripts and Superscripts
A | Aqueous phase |
B | Base of HBL |
cap | Capillary |
G | Gas phase |
HBL | Hydrate-bear layer |
irA | Irreducible aqueous phase |
irG | Irreducible gas |
n | Permeability reduction exponent—Table 1 |
nG | Gas permeability reduction exponent—Table 1 |
OB | Overburden |
UB | Underburden |
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Parameter | Value |
---|---|
Initial pressure P0 (at base of HBL) | 13.83 MPa |
Initial temperature T0 (at base of HBL) | 14.15 °C |
Depth of seafloor | 1108 m |
Thermal gradient | 0.0433 °C/m |
HBL thickness ZH | 22 m |
Depth of HBL H1 | 155–177 m |
Initial saturation in the HBL | SH = 0.44; SA = 0.56 |
Gas composition | 100% CH4 |
Porosity Φ | 0.38 |
Water salinity (mass fraction) Xs | 0.0305 |
Intrinsic permeability kx = ky = kz | 7.5 × 10−14 m2 |
Permeability of fracture fracturing | 5.2 × 10−13 m2 |
Grain density ρR | 2600 kg/m3 |
Dry thermal conductivity Kdry | 1.0 W/(kg·°C) |
Wet thermal conductivity Kwet | 3.1 W/(kg·°C) |
Production pressure ΔP | 5 MPa |
Composite thermal conductivity model | |
Capillary pressure model | |
. | |
SirA | 0.29 |
λ | 0.45 |
P01 | 105 Pa |
Relative permeability model | |
EPM #2 model | |
N | 3.572 |
nG | 3.572 |
SirA | 0.30 |
SirG | 0.05 |
Parameter | Value of Cracks | Value of Original Formation |
---|---|---|
Crack quantity | 1, 3, 5 | 0 |
Crack spacing | 1 m, 2 m, 3 m, 5 m | 0 |
Crack permeability | 5.2 × 10−13 m2 (10 mm) | 7.5 × 10−14 m2 |
Group | Simulation Number | Crack Quantity | Crack Height/mm | Crack Spacing/m |
---|---|---|---|---|
1 | 1-1 | 0 | 0 | 0 |
1-2 | 1 | 10 | 0 | |
1-3 | 3 | 10 | 2 | |
1-4 | 5 | 10 | 1 | |
2 | 2-1 | 3 | 10 | 1 |
2-2 | 3 | 10 | 2 | |
2-3 | 3 | 10 | 3 | |
2-4 | 3 | 10 | 5 |
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Chen, C.; Yang, L.; Jia, R.; Sun, Y.; Guo, W.; Chen, Y.; Li, X. Simulation Study on the Effect of Fracturing Technology on the Production Efficiency of Natural Gas Hydrate. Energies 2017, 10, 1241. https://doi.org/10.3390/en10081241
Chen C, Yang L, Jia R, Sun Y, Guo W, Chen Y, Li X. Simulation Study on the Effect of Fracturing Technology on the Production Efficiency of Natural Gas Hydrate. Energies. 2017; 10(8):1241. https://doi.org/10.3390/en10081241
Chicago/Turabian StyleChen, Chen, Lin Yang, Rui Jia, Youhong Sun, Wei Guo, Yong Chen, and Xitong Li. 2017. "Simulation Study on the Effect of Fracturing Technology on the Production Efficiency of Natural Gas Hydrate" Energies 10, no. 8: 1241. https://doi.org/10.3390/en10081241
APA StyleChen, C., Yang, L., Jia, R., Sun, Y., Guo, W., Chen, Y., & Li, X. (2017). Simulation Study on the Effect of Fracturing Technology on the Production Efficiency of Natural Gas Hydrate. Energies, 10(8), 1241. https://doi.org/10.3390/en10081241