Numerical Simulation of Gas Production Behavior Using Radial Lateral Well and Horizontal Snake Well Depressurization Mining of Hydrate Reservoir in the Shenhu Sea Area of the South China Sea
Abstract
:1. Introduction
2. Methodology
2.1. Method and Process
2.2. Geological Background
2.3. Simulator Code
- Mass conservation equation
- 2.
- Energy conservation equation
2.4. Model Discretization and Simulation Scenarios
2.5. Model Initialization
2.6. Model Validation
3. Results and Discussion
3.1. RLW and HSW Deployed at GHBL
3.1.1. Evolution of Gas and Water Characteristics
3.1.2. Physical Characteristics of the Reservoir
3.2. RLW and HSW Deployed at TPL
3.2.1. Evolution of Gas and Water Characteristics
3.2.2. Physical Characteristics of the Reservoir
3.3. RLW and HSW Deployed at FGL
3.3.1. Evolution of Gas and Water Characteristics
3.3.2. Physical Characteristics of the Reservoir
3.4. Discussion
3.4.1. Comparison of Production Capacity
3.4.2. Summary and Recommendations
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Nomenclature
Abbreviations | |||
L | Open hole completion length of wellbore (m) | OB | Overburden layer |
l | Length of each lateral wellbore (m) | UB | Underburden layer |
n | Quantity of lateral wellbore | GHBL | Gas hydrate bearing layer |
Mass accumulation of component κ, (kg/m3) | TPL | Three phase layer | |
Mass flux of component κ, kg/(m2·s) | FGL | Free gas layer | |
Sink/source of component κ, kg/(m3·s) | NGH | Natural gas hydrate | |
Energy accumulation (J/m3) | RLW | Radial lateral well | |
Energy flux, J/(m2·s) | HSW | Horizontal snake well | |
Sink/source of heat, J/(m3·s) | |||
Volume (m3) | |||
Surface area (m2) | |||
t | Times (s) | ||
φ | Porosity | ||
Qg | Gas production rates at well (m3/d) | ||
Qw | Water production rates at well (m3/d) | ||
Vg | Cumulative gas production at well (m3/d) | ||
Rgw | Ratio of cumulative gas to cumulative gas (ST m3 of CH4/m3 of H2O) | ||
J | Specific production index (-) | ||
β | Phase, β = A, G, H, I is aqueous, gas, hydrate and ice, respectively | ||
κ | Component, κ = w, m, i, h is water, methane, salt, and hydrate, respectively | ||
Sβ | Saturation of phase β | ||
T | Temperature (°C) | ||
Pcap cap | Capillary pressure (Pa) | ||
P0 | Initial capillary pressure (Pa) | ||
S* | Saturation for capillary pressure model | ||
SmxA | Maximum aqueous saturation | ||
SirA | Irreducible saturation of aqueous phase | ||
SirG | Irreducible saturation of gas phase | ||
nA | Permeability reduction index for aqueous phase | ||
nG | Permeability reduction index for gas phase | ||
λ | Porosity distribution index | ||
k | Permeability (m2) | ||
g | Gravity acceleration (m/s2) | ||
krβ | Relative permeability of phase β |
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Author | Year | Input | Work Summary | Output |
---|---|---|---|---|
Cinelli et al. [18] | 2013 | Technical review | Introduced the equipment and technical process of coiled tubing drilling, using a low permeability oilfield as an example to detail the completion process and production statistics for radial jet drilling. | Coiled tubing drilling technique is a low-cost and environmentally friendly method to improve productivity. |
Kamel et al. [19,20] | 2016, 2017 | Technical review | Introduced the theoretical, and technological progress, procedures, applications, and challenges of coiled tubing drilling technique. Several global case studies were discussed. | Coiled tubing drilling technique is effective for increasing production, and is a feasible and cost-effective alternative to marginal oilfield fracturing. |
Huang et al. [22] | 2019 | Technical review | Introduced the technical characteristics, advantages, and limitations of coiled tubing drilling technique. Discussed the drilling performance and trajectory measurement methods. | Coiled tubing drilling technique is a flexible new geo-energy development technology. |
Wan et al. [23] | 2019 | Analytical model | Explored the feasibility of developing NGHs v HSW. Provided an analytical model to calculate the maximum achievable wellbore length (MAWL). Predict the production capacity based on the Furui equation. | The HSW mining technology is feasible for offshore NGHs, and demonstrates how to evaluate its productivity and economy. |
Li et al. [24] | 2020 | Analytical model, experiment, and numerical simulation | Introduced the process flow of developing NGHs via radial lateral wells, the ability of jet rock breaking drilling, the feeding method and extension limit of jet drill bits, wellbore trajectory measurement, and control. | A new approach was proposed to develop marine NGHs using an integrated method of cavitation jet drilling radial horizontal wells and screen tube completion. |
Mahmood et al. [25] | 2021 | Analytical model | Compared the production potential of HSW and RLW using the developed analytical model and on-site case data of NGH reservoirs in the South China Sea. | RLW produce slightly higher gas productivity than HSW. |
Zhang et al. [26,27] | 2020, 2021 | Numerical simulation | Studied the performance of gas hydrate development by combining radial lateral wells with depressurization. | Radial lateral wells can improve gas recovery rates in the early stages of production and slow down secondary hydrates generation. The recovery rate of hydrates is linearly related to the lateral length. |
Zhang et al. [28] | 2022 | Experimental | Experimental studies were conducted on the depressurization and extraction of hydrated sediments in both gas-rich and water-rich using vertical and radial lateral wells, respectively. | When extracting rich gas hydrate sediments, the gas production behavior of vertical and radial lateral wells is almost the same. When extracting rich water hydrate sediments, the cumulative gas production of radial lateral well increased by 20.16% compared to vertical well. |
Wan et al. [29] | 2024 | Numerical simulation | A numerical evaluation was conducted on the gas production capacity of Class-1 type hydrate reservoirs using different radial lateral well deployment schemes. | Compared to a single vertical well, the cumulative gas production of a radial lateral well increased by approximately 208.53%. |
Case | Parameter Settings | |||
---|---|---|---|---|
L/(m) | l/(m) | n | Wellbore Location | |
Single vertical well | 70 | - | - | - |
RLW-4 laterals | 357.05 | 89.26 | 4 | Middle of GHBL/TPL/FGL |
RLW-6 laterals | 467.47 | 77.91 | 6 | |
RLW-8 laterals | 639.67 | 79.95 | 8 | |
HSW-1 circle | 357.05 | - | - | |
HSW-1.5 circles | 467.47 | - | - | |
HSW-2 circles | 639.67 | - | - |
Parameter | Value and Unit | Data Sources |
---|---|---|
Overburden (OB) and Underburden (UB)’s thickness | 20 m | [39] |
GHBL’s thickness | 35 m | [40] |
TPL’s thickness | 15 m | [40] |
FGL’s thickness | 27 m | [40] |
OB and UB’s permeability | 2.0 mD | - |
GHBL’s permeability | 2.9 mD | [40] |
TPL’s permeability | 1.5 mD | [40] |
FGL’s permeability | 7.4 mD | [40] |
OB and UB’s porosity | 0.30 | [40] |
GHBL’s porosity | 0.35 | [40] |
TPL’s porosity | 0.33 | [40] |
FGL’s porosity | 0.32 | [40] |
GHBL and TPL’s hydrate saturation FGL’s gas saturation | Extract from logging curve (Figure 3a) | [7] |
Single vertical wellbore radius | 0.1 m | [25] |
Radial lateral wellbore radius | 0.05 m | [25] |
Horizontal snake wellbore radius | 0.05 m | [25] |
Production pressure difference | 6.0 MPa | - |
Salinity | 3.0% | [40,41,42] |
Grain density | 2650 kg/m3 | [40,41,42] |
Geothermal gradient | 46 °C/km | [30] |
Grain specific heat | 1000 J·kg−1·K−1 | [40,41,42] |
Dry thermal conductivity | 1.0 W·m−1·K−1 | [40,41,42] |
Wet thermal conductivity | 3.1 W·m−1·K−1 | [40,41,42] |
Capillary pressure model | - | |
Maximum aqueous saturation SmxA | 1 | [40,41,42] |
Porosity distribution index λ | 0.45 | [40,41,42] |
Initial capillary pressure P0 | 104 Pa | [40,41,42] |
Relative permeability model | KrA = [(SA − SirA)/(1 − SirA)]nA, KrG = [(SG − SirG)/(1 − SirA)]nG | - |
Aqueous phase permeability reduction index nA | 3.5 | [41] |
Gas phase permeability reduction index nG | 2.5 | [41] |
Irreducible gas saturation SirG | 0.03 | [41] |
Irreducible aqueous saturation SirA | 0.30 | [41] |
Duration/d | Cumulative Gas Volume/104 m3 | Gas Rate/103 m3·d−1 |
---|---|---|
0–8 | 12.80 | 16.00 |
9–16 | 3.20 | 4.00 |
17–22 | 2.37 | 3.95 |
23–31 | 2.71 | 2.98 |
32–42 | 2.42 | 2.20 |
43–60 | 7.40 | 4.11 |
Case | Average Qg (104 m3/d) | Vg (104 m3) | Compared to VW (Ref) |
---|---|---|---|
HSW-2 circles | 2.36 | 849.53 | 232.53% |
RLW-8 laterals | 2.03 | 731.84 | 200.31% |
HSW-1.5 circles | 1.79 | 644.57 | 176.42% |
RLW-6 laterals | 1.66 | 596.20 | 163.19% |
HSW-1 circle | 1.43 | 514.16 | 140.73% |
RLW-4 laterals | 1.26 | 453.83 | 124.22% |
Single vertical well | 1.01 | 365.35 | 100.00% |
Case | Average Qg (104 m3/d) | Vg (104 m3) | Compared to VW (Ref) |
---|---|---|---|
HSW-2 circles | 4.32 | 1554.73 | 425.54% |
RLW-8 laterals | 4.07 | 1463.54 | 400.58% |
HSW-1.5 circles | 3.77 | 1356.88 | 371.39% |
HSW-1 circle | 3.63 | 1305.72 | 357.39% |
RLW-6 laterals | 3.60 | 1294.38 | 354.29% |
RLW-4 laterals | 3.38 | 1215.12 | 332.59% |
Single vertical well | 1.01 | 365.35 | 100.00% |
Case | Average Qg (104 m3/d) | Vg (104 m3) | Compared to VW (Ref) |
---|---|---|---|
HSW-2 circles | 3.88 | 1396.74 | 382.30% |
RLW-8 laterals | 3.62 | 1303.45 | 356.77% |
HSW-1.5 circles | 3.35 | 1207.33 | 330.46% |
HSW-1 circle | 3.19 | 1148.70 | 314.41% |
RLW-6 laterals | 3.17 | 1141.27 | 312.38% |
RLW-4 laterals | 2.85 | 1027.71 | 281.29% |
Single vertical well | 1.01 | 365.35 | 100.00% |
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Wan, T.; Wen, M.; Lu, H.; Li, Z.; Chen, Z.; Tian, L.; Li, Q.; Qu, J.; Wang, J. Numerical Simulation of Gas Production Behavior Using Radial Lateral Well and Horizontal Snake Well Depressurization Mining of Hydrate Reservoir in the Shenhu Sea Area of the South China Sea. J. Mar. Sci. Eng. 2024, 12, 1204. https://doi.org/10.3390/jmse12071204
Wan T, Wen M, Lu H, Li Z, Chen Z, Tian L, Li Q, Qu J, Wang J. Numerical Simulation of Gas Production Behavior Using Radial Lateral Well and Horizontal Snake Well Depressurization Mining of Hydrate Reservoir in the Shenhu Sea Area of the South China Sea. Journal of Marine Science and Engineering. 2024; 12(7):1204. https://doi.org/10.3390/jmse12071204
Chicago/Turabian StyleWan, Tinghui, Mingming Wen, Hongfeng Lu, Zhanzhao Li, Zongheng Chen, Lieyu Tian, Qi Li, Jia Qu, and Jingli Wang. 2024. "Numerical Simulation of Gas Production Behavior Using Radial Lateral Well and Horizontal Snake Well Depressurization Mining of Hydrate Reservoir in the Shenhu Sea Area of the South China Sea" Journal of Marine Science and Engineering 12, no. 7: 1204. https://doi.org/10.3390/jmse12071204
APA StyleWan, T., Wen, M., Lu, H., Li, Z., Chen, Z., Tian, L., Li, Q., Qu, J., & Wang, J. (2024). Numerical Simulation of Gas Production Behavior Using Radial Lateral Well and Horizontal Snake Well Depressurization Mining of Hydrate Reservoir in the Shenhu Sea Area of the South China Sea. Journal of Marine Science and Engineering, 12(7), 1204. https://doi.org/10.3390/jmse12071204