Abstract
In order to solve the problem of fluid accumulation in horizontal gas wells and improve the fluid-carrying capacity and recovery efficiency of gas wells, this paper simulates three internal vortex tools using the commercial software ANSYS FLUENT, and analyzes the drainage recovery efficiency of the three vortex structures and the vortex characteristics of the downstream section vortex field. The results show that the axial velocity of the three-bladed spiral tube in the cyclonic field rotates quasi-periodically with the flow field compared with the internal vortex tube and the rifled tube, and the axial velocity, tangential velocity and vortex intensity of the three-bladed vortex tube guided flow field are the highest; meanwhile, the axial velocity, tangential velocity and vortex intensity of the three-bladed spiral tube guided flow field decay the fastest, and the line rifled tube decays the slowest. The liquid phase in the cyclonic field exhibits obvious spiral motion and maintains a long-distance cyclonic flow state under the action of cyclonic flow. The enhancement of the vortex intensity easily leads to the increase of liquid volume fraction and liquid film thickness at the tube wall. Through the analysis of the energy efficiency of the three structures, it is found that the three-leaf spiral tube is more suitable for the initial phase of drainage transport, while the internal vortex tube is more favorable for the stable phase of transport. The study of the gas-liquid swirl flow of the three swirl tools demonstrated the feasibility of the internal swirl tool for application in horizontal wells. It can provide theoretical guidance and practical basis for effective liquid filling with internal vortex tools in the future.
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Abbreviations
- A :
-
Pipeline cross-sectional area
- b :
-
Blade width
- C :
-
Constant
- π :
-
Constant
- d :
-
Drop diameter
- D x :
-
Pipe diameter
- e k :
-
Specific internal energy
- g :
-
Gravitational acceleration
- I :
-
Tensor
- L x :
-
Length of cyclone device
- n :
-
Spiral lead
- P :
-
Fluid total pressure
- P*:
-
The dimensionless total pressure
- P k :
-
Pressure
- q k :
-
Volume heat source
- r :
-
Distance from the droplet to the central axis
- R :
-
Pipeline radius
- R e :
-
Reynolds number
- S w :
-
Swirl number
- t :
-
Time
- T k :
-
Tensor stress
- u k :
-
Fluid velocity
- u * :
-
Near-wall friction velocity
- u r.θ :
-
Axial velocity on polar axis
- u x :
-
Fluid axial velocity
- \(\overline{u_{i}^{\prime}u_{j}^{\prime}}\) :
-
Turbulent kinetic energy per unit mass
- U :
-
Axial velocity
- v r.θ :
-
Radial velocity
- w :
-
Tangential turbulent fluctuation velocity
- W :
-
Tangential velocity
- x k :
-
Phase shift
- Y + :
-
First layer grid height
- ρ k :
-
The density
- ρ g :
-
Gas density
- ρ l :
-
Liquid density
- ∇:
-
Vector operator
- τ :
-
Shearing stress
- τ t :
-
Time variable
- μ :
-
Dynamic viscosity
- α :
-
Helix angle
- η :
-
Energy efficiency of the system
- \(\partial(\rho_{k}\overline{u_{i}^{\prime}u_{j}^{\prime}})/\partial t\) :
-
Time varying rate of Reynolds stress
- \(\partial(\rho_{k}\overline{u_{i}^{\prime}u_{j}^{\prime}})/\partial x_{k}\) :
-
Convection term
- D i,j :
-
Diffusion term
- P i,j :
-
Stress generation term
- G i,j :
-
Buoyancy generation term
- Φ i,j :
-
Pressure-strain redistribution term
- ε i,j :
-
Discrete term
- F i,j :
-
Rotation system generation term
- S i,j :
-
Self-defined source term
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Acknowledgments
The authors wish to thank the Supported by Scientific Research Starting Project of SWPU (No. 2019QHZ006) and the National Key R&D Program of China (Grant No.2019YFC0312 305-02).
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Ruyi Gou is a Ph.D. of School of mechanical and electrical engineering, Southwest Petroleum University, China. He graduated from Mechanical Engineering, School of Mechanical and Electrical Engineering, Southwest Petroleum University in 2016. He mainly engaged in downhole power drilling tool research and development, downhole tool mechanics and physical method of oil production technology research.
Chenchen Kang is a graduate student of School of Mechanical and Electrical Engineering, Southwest Petroleum University, China. His research interests include computational fluid dynamics and structural design and optimization of vortex tools for low-yield wells.
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Gou, R., Kang, C. & Luo, X. Numerical analysis study on the application of three-lobed vortex tube in low-production wells. J Mech Sci Technol 37, 2969–2980 (2023). https://doi.org/10.1007/s12206-023-0523-5
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DOI: https://doi.org/10.1007/s12206-023-0523-5