Enhanced Gas Drainage via Gas Injection Displacement Based on Hydraulic Flushing: Numerical Simulation and Field Test
Abstract
1. Introduction
2. Numerical Simulation
2.1. Model Assumptions and Establishment
- (1)
- The coal body is regarded as an elastic porous continuous medium with single permeability and dual porosity;
- (2)
- The migration of ternary gases is an isothermal process, and the adsorption–desorption process conforms to the extended Langmuir equation;
- (3)
- The ternary gases follow the ideal gas law. Gas seepage in fractures follows Darcy’s law, and gas diffusion in the matrix pores follows Fick’s law;
- (4)
- The chemical reactions between CH4/N2/O2 and the coal body are neglected, the temperature variation in the coal seam is neglected, and the influence of the water phase is neglected. This simplification is justified by the low coal seam temperature (~20 °C), relatively high residual moisture content after hydraulic flushing, inherently low spontaneous combustion propensity of the No. 3 coal seam, and the limited time scale of this study (80–300 days).
2.2. Geological Conditions and Numerical Model
2.2.1. Geological Conditions
2.2.2. Numerical Model and Operating Condition Design
2.3. Results Analysis
2.3.1. Optimal Gas Injection Spacing
2.3.2. Optimal Gas Injection Pressure
2.4. Model Validation
3. Field Test
3.1. Field Test Site Overview
3.2. Test System and Scheme Design
3.2.1. Test System Establishment
3.2.2. Test Scheme Design
3.3. Test Results Analysis
4. Discussion and Prospects
5. Conclusions
- (1)
- Through numerical simulation, the optimal process parameters for the synergistic technology were determined as a gas injection spacing of 3.5 m and a gas injection pressure of 1.4 MPa. Under these parameters, the relative coal permeability of the target coal seam reached 1.06, the permeability enhancement zone covered the entire region between the gas injection borehole and the drainage borehole, and the time required for the gas content to fall below the critical threshold of gas outburst (8 m3/t) was the shortest, approximately 235 d. The model was quantitatively validated using field data from the synergistic module, with a relative error of approximately 1.1% between the simulated (18.0%) and field-derived (18.2%) recovery ratios, confirming the model’s reliability, providing precise process parameter guidance for field application.
- (2)
- Compared with conventional drainage, gas injection displacement, and hydraulic flushing, the synergistic technology achieved superior drainage performance. Based on 82-day cumulative pure methane volume, the synergistic technology outperformed conventional drainage by 85.8% (4.83 m3 compared with 2.60 m3), gas injection alone by 23.5% (4.83 m3 compared with 3.91 m3), and hydraulic flushing alone by 52.4% (4.83 m3 compared with 3.17 m3). During the injection phase, the mean flow rate of the synergistic module reached 0.070 ± 0.012 L/min, significantly higher than that of gas injection alone (0.044 ± 0.011 L/min). During the stop-injection phase, the synergistic module maintained 0.035 ± 0.006 L/min, outperforming gas injection alone (0.022 ± 0.006 L/min).
- (3)
- Compared with nitrogen injection displacement technology, the synergistic technology utilizes the existing underground compressed air system as the gas source, achieving low gas source cost without the need for additional nitrogen production equipment, significantly reducing economic costs. In addition, the system integration complexity is low, making it particularly suitable for mines lacking large-scale nitrogen production capacity, providing an economically feasible alternative for gas management in low-permeability coal seams.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Parameter | Value |
|---|---|
| Elastic modulus of coal, Ec | 2700 (MPa) |
| Elastic modulus of coal matrix, Km | 1500 (MPa) |
| Fracture bulk modulus of coal, Kf | 0.048 (GPa) |
| Bulk modulus of coal skeleton, Ks | 2.1 (GPa) |
| Poisson’s ratio of coal, v | 0.2 |
| Initial relative gas pressure, p0 | 0.5 (MPa) |
| Initial permeability, k0 | 5.5 × 10−18 (m2) |
| Initial fracture porosity, ϕf0 | 0.02 |
| Initial matrix porosity, ϕm0 | 0.04 |
| Klinkenberg factor, k | 1.44 × 105 (Pa) |
| CH4 Langmuir volume, VL1 | 31.25 (m3/t) |
| N2 Langmuir volume, VL2 | 15.00 (m3/t) |
| O2 Langmuir volume, VL3 | 11.00 (m3/t) |
| CH4 Langmuir pressure, PL1 | 0.781 (MPa) |
| N2 Langmuir pressure, PL2 | 2.61 (MPa) |
| O2 Langmuir pressure, PL3 | 2.8 (MPa) |
| CH4 density under standard conditions, ρsg1 | 0.7174 (kg/m3) |
| N2 density under standard conditions, ρsg2 | 1.25 (kg/m3) |
| O2 density under standard conditions, ρsg3 | 1.43 (kg/m3) |
| CH4 adsorption time, τ1 | 0.33 (d) |
| N2 adsorption time, τ2 | 0.20 (d) |
| O2 adsorption time, τ3 | 0.18 (d) |
| Swelling coefficient, λ | 0.45 |
| Influence coefficient of body stress on permeability, b | 0.10 (MPa) |
| Maximum volumetric strain induced by adsorption, εsmax | 3.01 (%) |
| Langmuir pressure for adsorption deformation | 1 |
| Coal seam temperature, T | 293 (K) |
| CH4 molar mass, M1 | 16 (g/mol) |
| N2 molar mass, M2 | 28 (g/mol) |
| O2 molar mass, M3 | 32 (g/mol) |
| Apparent density of coal, ρc | 1400 (kg/m3) |
| Universal gas constant, R | 8.314 (J/mol/K) |
| Gas molar volume, V | 22.4 (L/mol) |
| CH4 dynamic viscosity, μ1 | 1.08 × 10−5 (Pa·s) |
| N2 dynamic viscosity, μ2 | 1.7 × 10−5 (Pa·s) |
| O2 dynamic viscosity, μ3 | 2.22 × 10−5 (Pa·s) |
| CH4 Langmuir strain coefficient, εL1 | 0.0127 |
| N2 Langmuir strain coefficient, εL2 | 0.0058 |
| O2 Langmuir strain coefficient, εL3 | 0.0152 |
| Case No. | Injection–Drainage Borehole Spacing Si−d (m) | Gas Injection Pressure Pinj (MPa) |
|---|---|---|
| Case 1-1 | 2.5 | 1.0 |
| Case 1-2 | 3.5 | 1.0 |
| Case 1-3 | 4.5 | 1.0 |
| Case 2-1 | Si−d | 0.6 |
| Case 2-2 | Si−d | 1.0 |
| Case 2-3 | Si−d | 1.4 |
| Parameter | Value | Source |
|---|---|---|
| Initial gas content (m3/t) | 12.2 | Measured and model input |
| Cumulative production at 82 days (m3) | 4.83 | Calculated from measured daily flow rates |
| Simulated gas content at 82 days (m3/t) | 10.0 | Model (Case 2-3, interpolated) |
| Simulated content decline (m3/t) | 2.2 | Calculated |
| Simulated decline ratio | 18.0% | Calculated |
| Implied coal mass (t) | 2.20 | =4.83/2.2 |
| Initial gas in place (m3) | 26.8 | =2.20 × 12.2 |
| Field-derived recovery ratio | 18.2% | =4.83/26.8 |
| Relative error | 1.1% | =|18.2 − 18.0%|/18.0% |
| Borehole Type | Test Module | Borehole No. | Borehole Spacing (m) | Gas Injection Pressure (MPa) | Remarks |
|---|---|---|---|---|---|
| Conventional borehole | Module 1 | 1-1 | 3.5 m | / | Gas drainage borehole |
| 1-1-1 | |||||
| 1-1-2 | |||||
| Conventional borehole | Module 2 | 2-1 | 1.4 MPa | Gas injection borehole | |
| 2-1-1 | / | Gas drainage borehole | |||
| 2-1-2 | |||||
| Hydraulic flushing borehole | Module 3 | 3-1 | / | Gas drainage borehole | |
| 3-1-1 | |||||
| 3-1-2 | |||||
| Hydraulic flushing borehole | Module 4 | 4-1 | 1.4 MPa | Gas injection borehole | |
| 4-1-1 | / | Gas drainage borehole | |||
| 4-1-2 |
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Yang, X.; Tan, F.; Zhang, Q. Enhanced Gas Drainage via Gas Injection Displacement Based on Hydraulic Flushing: Numerical Simulation and Field Test. Energies 2026, 19, 2061. https://doi.org/10.3390/en19092061
Yang X, Tan F, Zhang Q. Enhanced Gas Drainage via Gas Injection Displacement Based on Hydraulic Flushing: Numerical Simulation and Field Test. Energies. 2026; 19(9):2061. https://doi.org/10.3390/en19092061
Chicago/Turabian StyleYang, Xin, Feiyan Tan, and Qingcheng Zhang. 2026. "Enhanced Gas Drainage via Gas Injection Displacement Based on Hydraulic Flushing: Numerical Simulation and Field Test" Energies 19, no. 9: 2061. https://doi.org/10.3390/en19092061
APA StyleYang, X., Tan, F., & Zhang, Q. (2026). Enhanced Gas Drainage via Gas Injection Displacement Based on Hydraulic Flushing: Numerical Simulation and Field Test. Energies, 19(9), 2061. https://doi.org/10.3390/en19092061
