Modeling and Forecasting of Coal Bed Methane Reservoir from Raniganj Coalfield, India
Abstract
:1. Introduction:
2. Methodology
2.1. Numerical Modeling of CBM Process
2.2. Controlling Equations Used in Modeling
2.3. The Assumptions Used for the Development of the Model
- (a)
- There is no thermal change occurring during the gas production from the reservoir.
- (b)
- The reservoir contains two phases: methane and water.
- (c)
- Methane is not soluble in water.
- (d)
- The flow of fluid inside the cleats or fracture system is assumed as laminar flow according to Darcy’s law [58] and flow measurement is done through relative permeability.
- (e)
- All matrix blocks are homogeneous; however, the matrix block is in equilibrium with the fracture system.
- (f)
- The thickness of the seam is alleged to be uniform.
- (g)
- Pseudo steady-state flow condition existed in between the matrix and fractures.
2.4. Model Development
3. Results and Discussions
3.1. Matrix Methane Concentration
3.2. Fracture Gas Saturation
3.3. Water Production
3.4. Scope for Future
4. Conclusions
- (a)
- This study illustrates that the chosen coal seams of the Sitarampur block can produce an expected 18.60 MCM of methane and 22,117.30 m3 of water over a period of 9125 days.
- (b)
- These coals desorbed methane slowly and attain a peak value of the gas production rate of 2713.2 m3/d in 1948 days, which shows that the gas desorption rate is low in both coal seams.
- (c)
- The fracture gas concentration increases with time, and it is observed that fractures are fully saturated with gas in 3000 days. The gas concentration is high near the production well due to a quick diffusion rate of gas and water production.
- (d)
- This study concludes that approximately 70% of gas recovery can be achieved by this method over a period of 9125 days.
- (e)
- A simulation study demonstrates that the extraction of methane can prevent 372 MCM equivalent CO2 emissions.
- (f)
- The desorption study of coal samples shows that the gas content of coal samples increases with depth.
List of Abbreviation
CBM | Coal Bed Methane |
VCBM | Virgin Coal Bed Methane |
VAM | Ventilation Air Methane |
CMM | Coal Mine Methane |
ECBM | Enhanced Coal Bed Methane |
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Value | |
---|---|---|
Seam-I | Seam-II | |
Reservoir temperature (°C) | 61.72 | 64.94 |
Depth (m) | 657.98 | 755 |
Permeability (mD) | 1.84 | 1.25 |
Density of coal (kg/m3) | 1280 | 1320 |
Cleat porosity (%) | 0.50 | 0.50 |
Thickness (m) | 6.25 | 8.68 |
Sorption time (days) | 1.42 | 0.21 |
Initial matrix content (m3/t) | 7.12 | 7.67 |
Fracture spacing (m) | 2.54 × 10−3 | 2.54 × 10−3 |
Langmuir volume for methane (m3/t) | 17.98 | 21.82 |
Langmuir pressure for methane (atm) | 44.76 | 40.51 |
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Panwar, D.S.; Chaurasia, R.C.; Saxena, V.K.; Singh, A.K. Modeling and Forecasting of Coal Bed Methane Reservoir from Raniganj Coalfield, India. Methane 2022, 1, 229-242. https://doi.org/10.3390/methane1040019
Panwar DS, Chaurasia RC, Saxena VK, Singh AK. Modeling and Forecasting of Coal Bed Methane Reservoir from Raniganj Coalfield, India. Methane. 2022; 1(4):229-242. https://doi.org/10.3390/methane1040019
Chicago/Turabian StylePanwar, Deepak Singh, Ram Chandra Chaurasia, Vinod Kumar Saxena, and Ajay Kumar Singh. 2022. "Modeling and Forecasting of Coal Bed Methane Reservoir from Raniganj Coalfield, India" Methane 1, no. 4: 229-242. https://doi.org/10.3390/methane1040019
APA StylePanwar, D. S., Chaurasia, R. C., Saxena, V. K., & Singh, A. K. (2022). Modeling and Forecasting of Coal Bed Methane Reservoir from Raniganj Coalfield, India. Methane, 1(4), 229-242. https://doi.org/10.3390/methane1040019