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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 766
Erosion rate prediction in single and multiphase flow using CFD
Allwin P Mathew
Department of Petroleum Engineering, Maharashtra Institute of Technology, Pune, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract: Predicting the erosion in multiphase flow is a
complicated procedure. Erosion is the material degradation
from the material wall, due to the impact of some particle. In
this a CFD approach is using to study about the effect of sand
particle motion through carrier fluids such as methane,
methane-oil, mixed gases. The investigation oferosionprocess
in the single and multiphase flow is analyzing through CFD
package ANSYS Fluent 6.0.The area where material
degradation more prone can be investigate. Apart from this
erosion rate is also calculated through API recommended
standards and comparing the values from CFD and
numerically. Along with the pressure drop, the forces
impinging on the bend section is also calculating.
Key Words: Erosion rate, pressure drop, CFD, Turbulent,
DPM.
1. INTRODUCTION
Erosion is a complicated phenomenon mainly happening in
the oil and gas transport lines and slow process that is
affected due to the several factors in operational conditions
and well conditions. It can significantlyaffectthedamagethe
pipeline and also reduces the life of the pipeline. Measuring
the erosion when it is progresses is very difficult and plant
operators should have a good quality calculation of the
internal condition of the pipework in their whole systems.
This will make erosion management and controllingdifficult
Depending on the production conditions and geography of
the well, solid particles, which are mainly sand and highly
erosive, which is present in the flow. But in corrosive flow,
liquid droplets which are a major factor especially in high
velocity gas streams. The sand particles that trapped or
entrained in the produced gas from the reservoir may
contain very small particles that are hardly separable by
physical means. In this paper a methodology ispresenting to
estimate the erosional rate in productionandtransportation
facilities and their components due to the impingement and
collision of sand particles of different sizes (microns).
1.1 PARAMETERS OF THE FLUID FLOW
The material degradation of material due to impact is highly
depending on the particleimpactvelocity andsanddiameter.
It will generally agree that the erosion rate is directly
proportional to the particle impact velocity .In thecasesthat
erosion problem that the particle impact velocity will very
close and near to the velocity of carrier fluid carrying
particle. Therefore erosion is very bad in the cases where
fluid flow velocity is the high. The small increase in carrier
fluid velocity will cause subsequent increase in the
penetration rate. In the fluid here we considering have mix
of gases, single phase methane gas and methane-oil
multiphase fluid. On the contrary, in low viscosity- low
density fluids particles tend to travel in straight lines,
impacting with the walls when the flow direction changes.
Particulate erosion have more chance to occur in gas flows
when compared to oil due to the change in the viscosity
1.2 FORCE EXERTED ON A PIPE BEND
Figure 1: Force diagram of bend
The average velocity, pressure and the area of flow at the
inlet section (1) and the outlet section (2) are V1, A1, P1 and
V2, A2, P2 respectively. Let the forces Fx and Fy are the
component forces acting on the fluid by the pipe bend in the
x and y directions respectively. the other l forces acting over
the fluid in the control volume area P1A1 acting over the
section (1) and P2A2 over the section (2).Now the
momentum equation is written as :
From this equation we can find Fx
Similarly Fy can be determined from the momentum
equation in the y direction.
If we know about the Fx and Fy, the total resultant force F
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 767
exerted by the pipe bend on the fluid can be measure
radially. The force exerted by the fluid on the pipe-bend
will be equal in magnitude but opposite in direction to F.
2. METHODOLOGY
The methodology that following in this thesis is basically
through the software. A 90 degree bend is modelling in the
ansys design modeler. The model is discretized through hex
hedral meshing. The model is then uploadingintotheANSYS
fluent and analyzing through different conditions.
Figure 2: Mesh window
The dimensions that used for the mesh generation are
Physics preference: CFD
Initial size seed: Active assembly
Smoothening: Medium
Transition: Slow
Span angle center: Fine
Min size: 1.6273e-004
Max size: 3.2546e-002
Max face size: 1.6273e-002
Sizing: 2.e-002
Min edge length: 0.159590 meter
Statistics
Nodes Elements
257664 245448
Figure 3 : Discrete Phase Model
In above window the flow is considering as turbulent, But in
the case of multiphase flows we selecting the multiphase
selection and picking the Eulerian Model and selecting the
eulerian parameters as DDPM (Dense Discrete Phase
Model).The no: of phasesisassigninghere.Generallyimplicit
formulation is providing here. The fluid that considering in
this model are oil, gas and a mix of gases, oil is more viscous
than gas, so we selecting the viscous model and considering
the flow is turbulent. K-epsilon Realizable is the model we
selecting and providing a standard wall function. In the
discrete phase model window we are the physical model
should be Erosion, because the flow of fluid is in continuous
phase.
Figure 4: Iteration of Results
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 768
RESULTS
METHANE
Sand dia 12 20 28
150 1.4526E-11 1.436E-11 1.436E-11
250 2.889E-11 2.793E-11 2.809E11
400 4.230E-11 4.1185E-11 4.0706E-11
METHANE – OIL
MIXED GASES
Table 1: Erosion rates of Methane, oil, and mixed gases
3. CONCLUSIONS
In the investigation part, three different cases were carried
out. Sand sizes of 150,250,400 microns sand particles
carried at a velocity of 12, 20, 28 m/s .each case were
studied in gas, gas-oil mix and mixed gases. In the mixed gas
(methane, hydrogen, butane, carbon dioxide), the erosion
rate is higher, in the single phase (methane) erosion rate is
less compared to mix gases. DPM is used for the injection of
the sand particles .constant velocity, mass flow rate and
pressure used at a time for the prediction of erosion. The
erosion rate is very less in multiphase (oil and gas) flow. In
the dense phase erosion is less due to the small drag force.
Hybrid initialization is used for the solution initialization
After 500 iterations the solution converged into results,
1.45E+00
2.89E+00
4.23E+00
1.44E+00
2.79E+00
4.12E+00
1.44E+00
2.81E+00
4.07E+00
0.00E+001.00E+002.00E+003.00E+004.00E+005.00E+00
1.50E+02
2.50E+02
4.00E+02
Erosion Rate(E-11)
Sanddiameter
METHANE
28 20 12
Figure 5 : Methane erosion rate variation
0.00E+00 1.00E-11 2.00E-11 3.00E-11 4.00E-11 5.00E-11
150
250
400
Erosion rate(E-11)
Sanddia
MIXED GAS
28 20 12
Figure 6 : Mixed gases erosion rate variation
Sand
diameter
12 20 28
150 1.0659E-11 1.053E-11 1.064E-11
250 1.937E-11 1.689E-11 1.676E-11
400 2.449E-11 2.609E-11 2.416E-11
Sand
diameter
12 20 28
150 1.424E-11 1.456E-11 1.4845E-11
250 2.216E-11 2.688E-11 2.9053E-11
400 4.11E-11 4.269E-11 4.278E-11
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 769
1.07E-11
1.94E-11
2.45E-11
1.05E-11
1.69E-11
2.61E-11
1.06E-11
1.68E-11
2.42E-11
0.00E+005.00E-121.00E-111.50E-112.00E-112.50E-113.00E-11
1.50E+02
2.50E+02
4.00E+02
Erosion Rate
Sanddia
28 20
GAS-OIL
Figure 7 : Gas-oil erosion rate variation
REFERENCES
1. Finnie, (1958), the mechanism of erosion of ductile
materials. In Proc., 3rd US Natl. Congress of Applied
Mechanics, pp. 527–532.
2 .Salama M. Sand Production Management. Journal of
Energy Resources Technology. 2000; 122
3. Edwards J, McLaurin B, Shiraz S. Modeling Solid Particle
Erosion in Elbows and Plugged Tees. Journal of Energy
Resources Technology. 2001; 123
4. Morsi Alexander AJ. An investigation of particle
trajectories in two-phase flow systems. Journal of Fluid
Mechanics. 1972 Sep 26; 55(02):193-208

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Erosion Rate Prediction in Single and Multiphase Flow using CFD

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 766 Erosion rate prediction in single and multiphase flow using CFD Allwin P Mathew Department of Petroleum Engineering, Maharashtra Institute of Technology, Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract: Predicting the erosion in multiphase flow is a complicated procedure. Erosion is the material degradation from the material wall, due to the impact of some particle. In this a CFD approach is using to study about the effect of sand particle motion through carrier fluids such as methane, methane-oil, mixed gases. The investigation oferosionprocess in the single and multiphase flow is analyzing through CFD package ANSYS Fluent 6.0.The area where material degradation more prone can be investigate. Apart from this erosion rate is also calculated through API recommended standards and comparing the values from CFD and numerically. Along with the pressure drop, the forces impinging on the bend section is also calculating. Key Words: Erosion rate, pressure drop, CFD, Turbulent, DPM. 1. INTRODUCTION Erosion is a complicated phenomenon mainly happening in the oil and gas transport lines and slow process that is affected due to the several factors in operational conditions and well conditions. It can significantlyaffectthedamagethe pipeline and also reduces the life of the pipeline. Measuring the erosion when it is progresses is very difficult and plant operators should have a good quality calculation of the internal condition of the pipework in their whole systems. This will make erosion management and controllingdifficult Depending on the production conditions and geography of the well, solid particles, which are mainly sand and highly erosive, which is present in the flow. But in corrosive flow, liquid droplets which are a major factor especially in high velocity gas streams. The sand particles that trapped or entrained in the produced gas from the reservoir may contain very small particles that are hardly separable by physical means. In this paper a methodology ispresenting to estimate the erosional rate in productionandtransportation facilities and their components due to the impingement and collision of sand particles of different sizes (microns). 1.1 PARAMETERS OF THE FLUID FLOW The material degradation of material due to impact is highly depending on the particleimpactvelocity andsanddiameter. It will generally agree that the erosion rate is directly proportional to the particle impact velocity .In thecasesthat erosion problem that the particle impact velocity will very close and near to the velocity of carrier fluid carrying particle. Therefore erosion is very bad in the cases where fluid flow velocity is the high. The small increase in carrier fluid velocity will cause subsequent increase in the penetration rate. In the fluid here we considering have mix of gases, single phase methane gas and methane-oil multiphase fluid. On the contrary, in low viscosity- low density fluids particles tend to travel in straight lines, impacting with the walls when the flow direction changes. Particulate erosion have more chance to occur in gas flows when compared to oil due to the change in the viscosity 1.2 FORCE EXERTED ON A PIPE BEND Figure 1: Force diagram of bend The average velocity, pressure and the area of flow at the inlet section (1) and the outlet section (2) are V1, A1, P1 and V2, A2, P2 respectively. Let the forces Fx and Fy are the component forces acting on the fluid by the pipe bend in the x and y directions respectively. the other l forces acting over the fluid in the control volume area P1A1 acting over the section (1) and P2A2 over the section (2).Now the momentum equation is written as : From this equation we can find Fx Similarly Fy can be determined from the momentum equation in the y direction. If we know about the Fx and Fy, the total resultant force F
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 767 exerted by the pipe bend on the fluid can be measure radially. The force exerted by the fluid on the pipe-bend will be equal in magnitude but opposite in direction to F. 2. METHODOLOGY The methodology that following in this thesis is basically through the software. A 90 degree bend is modelling in the ansys design modeler. The model is discretized through hex hedral meshing. The model is then uploadingintotheANSYS fluent and analyzing through different conditions. Figure 2: Mesh window The dimensions that used for the mesh generation are Physics preference: CFD Initial size seed: Active assembly Smoothening: Medium Transition: Slow Span angle center: Fine Min size: 1.6273e-004 Max size: 3.2546e-002 Max face size: 1.6273e-002 Sizing: 2.e-002 Min edge length: 0.159590 meter Statistics Nodes Elements 257664 245448 Figure 3 : Discrete Phase Model In above window the flow is considering as turbulent, But in the case of multiphase flows we selecting the multiphase selection and picking the Eulerian Model and selecting the eulerian parameters as DDPM (Dense Discrete Phase Model).The no: of phasesisassigninghere.Generallyimplicit formulation is providing here. The fluid that considering in this model are oil, gas and a mix of gases, oil is more viscous than gas, so we selecting the viscous model and considering the flow is turbulent. K-epsilon Realizable is the model we selecting and providing a standard wall function. In the discrete phase model window we are the physical model should be Erosion, because the flow of fluid is in continuous phase. Figure 4: Iteration of Results
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 768 RESULTS METHANE Sand dia 12 20 28 150 1.4526E-11 1.436E-11 1.436E-11 250 2.889E-11 2.793E-11 2.809E11 400 4.230E-11 4.1185E-11 4.0706E-11 METHANE – OIL MIXED GASES Table 1: Erosion rates of Methane, oil, and mixed gases 3. CONCLUSIONS In the investigation part, three different cases were carried out. Sand sizes of 150,250,400 microns sand particles carried at a velocity of 12, 20, 28 m/s .each case were studied in gas, gas-oil mix and mixed gases. In the mixed gas (methane, hydrogen, butane, carbon dioxide), the erosion rate is higher, in the single phase (methane) erosion rate is less compared to mix gases. DPM is used for the injection of the sand particles .constant velocity, mass flow rate and pressure used at a time for the prediction of erosion. The erosion rate is very less in multiphase (oil and gas) flow. In the dense phase erosion is less due to the small drag force. Hybrid initialization is used for the solution initialization After 500 iterations the solution converged into results, 1.45E+00 2.89E+00 4.23E+00 1.44E+00 2.79E+00 4.12E+00 1.44E+00 2.81E+00 4.07E+00 0.00E+001.00E+002.00E+003.00E+004.00E+005.00E+00 1.50E+02 2.50E+02 4.00E+02 Erosion Rate(E-11) Sanddiameter METHANE 28 20 12 Figure 5 : Methane erosion rate variation 0.00E+00 1.00E-11 2.00E-11 3.00E-11 4.00E-11 5.00E-11 150 250 400 Erosion rate(E-11) Sanddia MIXED GAS 28 20 12 Figure 6 : Mixed gases erosion rate variation Sand diameter 12 20 28 150 1.0659E-11 1.053E-11 1.064E-11 250 1.937E-11 1.689E-11 1.676E-11 400 2.449E-11 2.609E-11 2.416E-11 Sand diameter 12 20 28 150 1.424E-11 1.456E-11 1.4845E-11 250 2.216E-11 2.688E-11 2.9053E-11 400 4.11E-11 4.269E-11 4.278E-11
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 769 1.07E-11 1.94E-11 2.45E-11 1.05E-11 1.69E-11 2.61E-11 1.06E-11 1.68E-11 2.42E-11 0.00E+005.00E-121.00E-111.50E-112.00E-112.50E-113.00E-11 1.50E+02 2.50E+02 4.00E+02 Erosion Rate Sanddia 28 20 GAS-OIL Figure 7 : Gas-oil erosion rate variation REFERENCES 1. Finnie, (1958), the mechanism of erosion of ductile materials. In Proc., 3rd US Natl. Congress of Applied Mechanics, pp. 527–532. 2 .Salama M. Sand Production Management. Journal of Energy Resources Technology. 2000; 122 3. Edwards J, McLaurin B, Shiraz S. Modeling Solid Particle Erosion in Elbows and Plugged Tees. Journal of Energy Resources Technology. 2001; 123 4. Morsi Alexander AJ. An investigation of particle trajectories in two-phase flow systems. Journal of Fluid Mechanics. 1972 Sep 26; 55(02):193-208