# Computational Flow Dynamic Simulation of Micro Flow Field Characteristics Drainage Device Used in the Process of Oil-Water Separation

Authors: Guangya Jin; Zhijian Liu
Journal: Geofluids
 (2017)

---

## Abstract

Aqueous crude oil often contains large amounts of produced water and heavy sediment, which seriously threats the safety of crude oil storage and transportation. Therefore, the proper design of crude oil tank drainage device is prerequisite for efficient purification of aqueous crude oil. In this work, the composition and physicochemical properties of crude oil samples were tested under the actual conditions encountered. Based on these data, an appropriate crude oil tank drainage device was developed using the principle of floating ball and multiphase flow. In addition, the flow field characteristics in the device were simulated and the contours and streamtraces of velocity magnitude at different nine moments were obtained. Meanwhile, the improvement of flow field characteristics after the addition of grids in crude oil tank drainage device was validated. These findings provide insights into the development of effective selection methods and serve as important references for oil-water separation process.


---

## Body

## 1. Introduction

The purpose of developing oilfields is to gain oil and natural gas which have broad use value, high economic benefit, and stringent specification. But, almost every oilfield around the world has to go through the development phase of water cut, especially oilfields which take fast recovery rate or water injection mode. Therefore, the aqueous crude oil is ubiquitous in the development of oilfield [1, 2]. Besides, crude oil and water also carry and dissolve a large collection of salts when moving in the reservoir, such as sulfate, carbonate, and chloride including potassium chloride and sodium chloride. Therefore, fuel-air mixture often contains large amounts of produced water, sediment, and other heavy solids. On the other hand, content of water will increase in later development, and salts are mainly dissolved in the water. According to statistics, weight ratio of water to oil can even reach 10, solids may reach 1 wt%~1.5 wt%, and more than 90% of produced crude oil requires tedious purification drainage [3].The composition and quality of aqueous crude oil can directly affect application potential, increase treatment processes and delivery power consumption, and cause corrosion of metallic conduit and equipment. In addition, heavy solids can do great physical damage to metallic conduit and equipment. Furthermore, the aqueous crude oil has a strong impact on oil refinery processes [1, 3]. Salts and heavy solids contained in crude oil are usually dissolved and suspended in the water. As it has been mentioned, crude oil drainage is a comprehensive process of purification.In the past drainage works, people detected oil-water surface with probe, opened drain valve artificially, and waited on duty. This method of operation has a lot of disadvantages, such as low automaticity, high safety requirements, and indefinable working hours. When large-capacity storage tanks drain by gravity, most of the water regions far from valve at the bottom of the tanks are deemed to be dead zone and the upper area will be flow zone if the open degree of drain valve is overlarge. If this part of oil due to vortex motion remixes with water and drain, the drying pool and air of drain area will be polluted, and that will consequentially increase burden for sewage treatment. But if the open degree of drain valve is too small, the efficiency will be low and people will waste much time for watching on duty. Besides, it could leave people at risks of hydrogen sulfide poisoning. Therefore, it is essential to design a new reasonable safety drainage device.Some automatic or semiautomatic drainage devices were designed and produced [4–7], but some factors restrict the popularization and application in dehydration field, such as complex system, low reliability, high cost, and safety hazard.


## 2. Methods

### 2.1. Design Process of Drainage Device

In development process of drainage device, it is necessary to test the composition and physicochemical properties of crude oil sample because the valve body materials, device capacity, scale inhibition properties, and anticlogging measures are required to be determined according to the actual conditions.In this paper, several exposed cylindrical metal arched storage tanks which have capacities of 3500 m3 and 4500 m3 are mainly studied. Ambient temperatures of oil storage district range from −28 to 33 degrees centigrade; the crude oil contains small amount of silt sediment; and volume ratio of water to tank is usually about 2.5%. According to field sampling and dewatering until water cut of sample is below 0.5%, then testing gel point of sample used test method for gel point of crude oils (Standard, China, SY/T0541-2009) as a reference [8]. The results indicated that the gel point of sample is 18 degrees centigrade, and the density and viscosity of oil and produced water are tested as shown in Table 1.Table 1
Density and viscosity of oil and produced water.
Sample
Test temp
Density
Viscosity
(°C)
(g/ml)
(mPa·s)
Oil
33
0.830
7.64
Produced water
22
1.015
0.96Salts, water, and other materials are unavoidably contained in crude oil, salts are mainly ionized in the water, crude oil intermixes with water, and then a relatively stable emulsion is formed. This emulsion makes an electrochemical reaction with vessel walls in the process of manufacture, storage, and transportation that will lead to vessel corrosion and loss of service life [9]. Meanwhile, the emulsion also can be attached to vessel walls and formed dirt because of high viscosity. All of the above factors will reduce efficiency of equipment. The demulsification process of pretreatment techniques of crude oil is for the purpose of excellent salt removal at minimum cost and effectively aids dehydration of crude oil. Besides, composition and physicochemical properties of oil sample are tested in lab. The results of chemical properties show that content of paraffin is 12.16%, colloid is 18.87%, asphalt is 4.23%, and sulfur is less than 0.03%. The test results of emulsion lay a foundation for the development of drainage device.Schematic diagram of drainage device is shown in Figure1. In the beginning, the floating ball is placed at the bottom of the device, and the water outlet is off. As the device starts to drain, the density of fluid is the same as water at the beginning, and the density of floating ball is less than fluid; thus the floating ball gradually moves upward and then makes the water outlet open. The flow rate is controlled by valve opening degree. As time goes on, the water level of oil tank continuously decreases and oil begins to enter the device for some time past. As the ratio of oil and water keeps on increasing, the density of mixture continuously decreases. The floating ball will gradually move downward and close the water outlet when the density of mixture is less than floating ball. Drainage will stop and the whole process is finished.Figure 1
Schematic diagram of drainage device.The density of floating ball is between crude oil and water, but the composition of crude oil is not unchangeable in the process of production. Therefore, it is necessary to increase or decrease the weight of floating ball for purpose that the density of floating ball is within a reasonable limit [10, 11]. Since the weight of floating ball has a great effect on drainage device, it should be watched closely at the change of oil quality and match the weight of floating ball in real applications.


### 2.2. Model Reconstruction

A large-capacity drainage device is calculated based on commercial computational fluid dynamic (CFD) code Fluent, core data is extracted, and necessary simplification is made through the preliminary design of device and relevant specification of the project. Three-dimensional model is established by using Unigraphics (UG) software, as shown in Figure2. The drainage device is 600 mm high, the diameter of cylinder is 300 mm, the diameter of floating ball is 180 mm, and the diameter of inlet pipe is 150 mm and 50 mm for the outlet pipe. The dynamic layering model is used and number of dynamic mesh achieves 180,000. And unstructured grids are used too; the EquiSize Skew and EquiAngle Skew in detection are 0.52 and 0.43, respectively. It is indicated that the grids generated are simple, of high quality, and suitable [12].Figure 2
Three-dimensional model established by UG.In this paper, the realizablek-epsilon turbulence model was adopted, the volume of fluid model and second-order upwind model is appended, and the implicit unsteady solution mode was adopted. The flow field characteristics were described by some calculated turbulent parameters like turbulent intensity, turbulent kinetic energy, turbulent scale, and turbulent dissipation rate apart from velocity and pressure.


### 2.3. CFD Method

The fluid in crude oil tank drainage device is assumed to be isothermal, adiabatic, and incompressible [12]. The approximate range of Reynolds number, one dimensionless parameter, is 850–2300 under different conditions in the model. Owing to the continuous change of the cross sections of this model and the velocity of the airflow, the Reynolds number changes incessantly. The highest Reynolds number can reach about 7200. Within the change range of the Reynolds number, the airflow in the crude oil tank drainage device model is turbulent. Based on the range of the Reynolds number, the standard k-ω model is chosen as the appropriate turbulence model in order to calculate the flow field characteristics of the inside crude oil tank drainage device more accurately.The fundamental equations of the standardk-ω model are (1)∂∂tρk+∂∂xiρkui=∂∂xiΓk∂k∂xi+Gk-Yk+Sk∂∂tρω+∂∂xiρωui=∂∂xjΓω∂ω∂xj+Gω-Yω+Sω.In these equations,Gk represents the turbulence kinetic energy generated by laminar velocity gradient. Gω is generated by the ω equation; Γk and Γω represent the diffusivities of k and ω, respectively; Yk and Yω represent the turbulence generated by diffusion. Sk and Sω are user-defined source terms.This article uses the commercial software Ansys14 for the CFD calculation. Based on the finite volume method, the Ansys software owes the characteristics like good stability, wide scope of application, high precision, and so forth. The calculation process uses separate method and adopts the SIMPLE algorithm to couple the pressure and velocity. It belongs to one method of the pressure correction methods and is presented by Patankar and Spalding in 1972 [13]. The dispersion of Gk and ω adopts second-order upwind scheme.The ICEM-CFD (Integrated Computer Engineering and Manufacturing code for Computational Fluid Dynamics) is used in grid division for this real model. Because the upper respiratory tracts model is real, the structure is extremely complex. So the grid division adopts the tetrahedral grid form of the unstructured grid. According to literature [14], this unstructured tetrahedral grid can well reflect the flow field of the respiratory tracts. It makes favorable qualities by proper regional compactness in the sections owing to large curvature. From the calculations of 400000, 700000, and 1050000 grid numbers, respectively, the 700000 grid numbers can satisfy the calculation requirements and reflect the characteristics of flow field better. The convergence criteria are defined as 10−5 here.


## 2.1. Design Process of Drainage Device

In development process of drainage device, it is necessary to test the composition and physicochemical properties of crude oil sample because the valve body materials, device capacity, scale inhibition properties, and anticlogging measures are required to be determined according to the actual conditions.In this paper, several exposed cylindrical metal arched storage tanks which have capacities of 3500 m3 and 4500 m3 are mainly studied. Ambient temperatures of oil storage district range from −28 to 33 degrees centigrade; the crude oil contains small amount of silt sediment; and volume ratio of water to tank is usually about 2.5%. According to field sampling and dewatering until water cut of sample is below 0.5%, then testing gel point of sample used test method for gel point of crude oils (Standard, China, SY/T0541-2009) as a reference [8]. The results indicated that the gel point of sample is 18 degrees centigrade, and the density and viscosity of oil and produced water are tested as shown in Table 1.Table 1
Density and viscosity of oil and produced water.
Sample
Test temp
Density
Viscosity
(°C)
(g/ml)
(mPa·s)
Oil
33
0.830
7.64
Produced water
22
1.015
0.96Salts, water, and other materials are unavoidably contained in crude oil, salts are mainly ionized in the water, crude oil intermixes with water, and then a relatively stable emulsion is formed. This emulsion makes an electrochemical reaction with vessel walls in the process of manufacture, storage, and transportation that will lead to vessel corrosion and loss of service life [9]. Meanwhile, the emulsion also can be attached to vessel walls and formed dirt because of high viscosity. All of the above factors will reduce efficiency of equipment. The demulsification process of pretreatment techniques of crude oil is for the purpose of excellent salt removal at minimum cost and effectively aids dehydration of crude oil. Besides, composition and physicochemical properties of oil sample are tested in lab. The results of chemical properties show that content of paraffin is 12.16%, colloid is 18.87%, asphalt is 4.23%, and sulfur is less than 0.03%. The test results of emulsion lay a foundation for the development of drainage device.Schematic diagram of drainage device is shown in Figure1. In the beginning, the floating ball is placed at the bottom of the device, and the water outlet is off. As the device starts to drain, the density of fluid is the same as water at the beginning, and the density of floating ball is less than fluid; thus the floating ball gradually moves upward and then makes the water outlet open. The flow rate is controlled by valve opening degree. As time goes on, the water level of oil tank continuously decreases and oil begins to enter the device for some time past. As the ratio of oil and water keeps on increasing, the density of mixture continuously decreases. The floating ball will gradually move downward and close the water outlet when the density of mixture is less than floating ball. Drainage will stop and the whole process is finished.Figure 1
Schematic diagram of drainage device.The density of floating ball is between crude oil and water, but the composition of crude oil is not unchangeable in the process of production. Therefore, it is necessary to increase or decrease the weight of floating ball for purpose that the density of floating ball is within a reasonable limit [10, 11]. Since the weight of floating ball has a great effect on drainage device, it should be watched closely at the change of oil quality and match the weight of floating ball in real applications.


## 2.2. Model Reconstruction

A large-capacity drainage device is calculated based on commercial computational fluid dynamic (CFD) code Fluent, core data is extracted, and necessary simplification is made through the preliminary design of device and relevant specification of the project. Three-dimensional model is established by using Unigraphics (UG) software, as shown in Figure2. The drainage device is 600 mm high, the diameter of cylinder is 300 mm, the diameter of floating ball is 180 mm, and the diameter of inlet pipe is 150 mm and 50 mm for the outlet pipe. The dynamic layering model is used and number of dynamic mesh achieves 180,000. And unstructured grids are used too; the EquiSize Skew and EquiAngle Skew in detection are 0.52 and 0.43, respectively. It is indicated that the grids generated are simple, of high quality, and suitable [12].Figure 2
Three-dimensional model established by UG.In this paper, the realizablek-epsilon turbulence model was adopted, the volume of fluid model and second-order upwind model is appended, and the implicit unsteady solution mode was adopted. The flow field characteristics were described by some calculated turbulent parameters like turbulent intensity, turbulent kinetic energy, turbulent scale, and turbulent dissipation rate apart from velocity and pressure.


## 2.3. CFD Method

The fluid in crude oil tank drainage device is assumed to be isothermal, adiabatic, and incompressible [12]. The approximate range of Reynolds number, one dimensionless parameter, is 850–2300 under different conditions in the model. Owing to the continuous change of the cross sections of this model and the velocity of the airflow, the Reynolds number changes incessantly. The highest Reynolds number can reach about 7200. Within the change range of the Reynolds number, the airflow in the crude oil tank drainage device model is turbulent. Based on the range of the Reynolds number, the standard k-ω model is chosen as the appropriate turbulence model in order to calculate the flow field characteristics of the inside crude oil tank drainage device more accurately.The fundamental equations of the standardk-ω model are (1)∂∂tρk+∂∂xiρkui=∂∂xiΓk∂k∂xi+Gk-Yk+Sk∂∂tρω+∂∂xiρωui=∂∂xjΓω∂ω∂xj+Gω-Yω+Sω.In these equations,Gk represents the turbulence kinetic energy generated by laminar velocity gradient. Gω is generated by the ω equation; Γk and Γω represent the diffusivities of k and ω, respectively; Yk and Yω represent the turbulence generated by diffusion. Sk and Sω are user-defined source terms.This article uses the commercial software Ansys14 for the CFD calculation. Based on the finite volume method, the Ansys software owes the characteristics like good stability, wide scope of application, high precision, and so forth. The calculation process uses separate method and adopts the SIMPLE algorithm to couple the pressure and velocity. It belongs to one method of the pressure correction methods and is presented by Patankar and Spalding in 1972 [13]. The dispersion of Gk and ω adopts second-order upwind scheme.The ICEM-CFD (Integrated Computer Engineering and Manufacturing code for Computational Fluid Dynamics) is used in grid division for this real model. Because the upper respiratory tracts model is real, the structure is extremely complex. So the grid division adopts the tetrahedral grid form of the unstructured grid. According to literature [14], this unstructured tetrahedral grid can well reflect the flow field of the respiratory tracts. It makes favorable qualities by proper regional compactness in the sections owing to large curvature. From the calculations of 400000, 700000, and 1050000 grid numbers, respectively, the 700000 grid numbers can satisfy the calculation requirements and reflect the characteristics of flow field better. The convergence criteria are defined as 10−5 here.


## 3. Results and Discussion

The density of fluid was controlled by User-Defined Function (UDF), and the area and numbers of dynamic grid generations continually changed over time. Based on positions of floating ball at different moments, the whole process was divided into nine moving stages (T1–T9) during all this movement for the purpose of studying flow field of drainage device. Contours of velocity magnitude and streamtraces were shown in Figures5 and 6, respectively.It was shown in Figure3 that the floating ball moved upward from T1 moment to T4 moment and the gap at the bottom of the floating ball kept on increasing, because the outlet flow was always less than the inlet flow and the density of floating ball was less than current fluid. For the movement of the floating ball, the maximum velocities were on a declining curve. From T5 to T7, typical pipe flow characteristics were shown and the maximum velocities appeared in the central position of pipe and maintained stability. At these moments, the outlet flow was basically in accordance with the inlet flow and the device enjoyed optimal draining condition. As the density of fluid decreased continuously from T8 moment to T9 moment, the floating ball moved downward under gravity. And the gap at the bottom of the floating ball kept on decreasing, which leads to slight increase of the maximum velocity.Figure 3
Contours of velocity magnitude during movement of floating ball.The result in Figure4 showed that there were always vortexes of which the position and scope differed greatly at the lower left of the device during movement of the floating ball; meanwhile the streamtraces were also widely variable. In contrast to results from T7 to T9 in Figures 5 and 6, the contours of velocity magnitude were similar at the same position during movement of the floating ball, but the streamtraces were quite different, which indicated that the flow field characteristics had big differences during movement of the floating ball.Figure 4
Streamtraces during movement of the floating ball.Figure 5
(a) Contours of velocity magnitude; (b) contours of velocity vector; (c) contours of stream function; (d) contours of static pressure; (e) contours of turbulent intensity; (f) contours of turbulent kinetic energy in drainage device at T3 moment.
(a)
(b)
(c)
(d)
(e)
(f)Figure 6
(a) Contours of velocity magnitude; (b) contours of velocity vector; (c) contours of stream function; (d) contours of static pressure; (e) contours of turbulent intensity; (f) contours of turbulent kinetic energy in drainage device at T6 moment.
(a)
(b)
(c)
(d)
(e)
(f)


### 3.1. Analysis of Interior Flow Field Characteristics

Confined to the length of the thesis, only flow field characteristics at T3 moment and T6 moment were analyzed. Contours of velocity magnitude (a), velocity vector (b), stream function (c), static pressure (d), turbulent intensity (e), and turbulent kinetic energy (f) in drainage device at T3 moment were described, as shown in Figure5. At this moment, the floating ball had just reached the lower mid position of liquid inlet, and the gap at the bottom of the floating ball kept on increasing. The flushing action of influent liquid led to uneven force of the floating ball, but flow irregularity turned to be weak. As shown in Figure 4, the flow field on left and right sides of floating ball displayed an asymmetric distribution, and the left side showed an area of lower velocity. The flow field on the right side was uniformly distributed, and velocity increased from device walls to surface of floating ball. As shown in Figure 5(c), the lower left of device formed vortex because of the flushing action of influent liquid and retardation in the local scope. The flow field on upside of floating ball maintained stability, and the maximum velocity appeared in the central position of drainpipe.As shown in Figure5(d), the static pressure underneath the floating ball had risen to the same level as the upside of the floating ball. Surprisingly, the static pressure in the drainpipe was much lower and well distributed. Figures 5(e) and 5(f) showed that the maximum turbulent intensity, at a value of 5.16, existed at the lower right of the floating ball and the right side in the drainpipe. The value of maximum turbulent kinetic energy was 4 m2/s2. This situation may result from the fact that the floating ball was almost at the opposite side to the water inlet, which promoted the formation of disturbance. Scrutinizing the turbulent intensity and turbulent kinetic energy revealed the variation of the former is more dramatic than the latter.Contours of velocity magnitude (a), velocity vector (b), stream function (c), static pressure (d), turbulent intensity (e), and turbulent kinetic energy (f) in drainage device at T6 moment were described, as shown in Figure6. Figures 6(a), 6(b), and 6(c) showed that the velocity of the lower left side of the floating ball was bigger than one of the right side which almost appeared in static state. Besides, velocity distribution was obviously asymmetrical, typical pipe flow characteristics were shown, and the maximum velocity which achieved 3.12 m/s appeared in the central position of drainpipe.It was shown in Figure3 (T6), Figure 4 (T6), and Figure 6(c) that the flow field of upper right side was almost static state. Scrutinizing the postprocessing results by Tecplot and Fluent software, respectively, revealed the variation of the former shows better details of flow field characteristics such as detailed distribution, direction, and distance of streamlines, but the latter is better at fast output of streamlines.As shown in Figure7(d), the static pressure of lower left side of the device was almost the same with the upper side, and the static pressure of the inlet position was lower because of dynamic pressure. Contours of turbulent intensity (e) was similar with ones of turbulent kinetic energy (f); both of them showed that higher turbulent intensity and turbulent kinetic energy appeared at the lower left side and lower right side of the floating ball’s bottom in the device, and the maximum value appeared at both sides of the top in the drainpipe. The turbulent intensity at the inlet position of the device was lower because there was larger inlet as well as smaller outlet in the device [15]. At this moment, turbulence of fluid was lower and it was beneficial to drain.Figure 7
(a) Contours of velocity magnitude; (b) contours of velocity vector; (c) contours of stream function; (d) contours of static pressure; (e) contours of turbulent intensity; (f) contours of turbulent kinetic energy after installation of grids at T3 moment.
(a)
(b)
(c)
(d)
(e)
(f)


### 3.2. Effects on Installation of Grids

Installation of grids in the device can be used to enhance stability of floating ball, make the inlet water well distributed, and decrease the flushing action to floating ball. Besides, the grids could also decrease the turbulent intensity of the flow field in the device, cut the stagnant area of water in drainage process, and guarantee the device safe, stable, and highly efficient operation. The grids installed in device were 390 mm high, and the diameter of cylinder was 248 mm, the size of circular mesh was 6 mm, and thickness was 2 mm. The flow field characteristics after installation of grids at T3 moment were shown in Figure7.In contrast to contours of velocity magnitude (a) and velocity vector (b) before (Figure7) and after (Figure 7) installation of grids in the device at T3 moment, it was shown that the velocity of liquid at the position of inlet was distributed in a holistic uniform manner, various parts in the device can be faster filled with liquid, and it was beneficial to higher efficiency drainage after the installation of grids. Contours of stream function (c) showed that the formed vortex was significantly reduced and the streamline was more uniform. The results suggested that the flushing action of liquid turned to be weak. Figure 7(d) indicated that the static pressure on both sides was uniform symmetric distribution and the stability was enhanced as well as a lower head loss characteristic.In contrast to contours of turbulence intensity (e) and turbulent kinetic energy (f), it was shown that the turbulence intensities varied widely before and after the installation of grids, and obviously the latter was distributed in a holistic uniform manner. Meanwhile, turbulence of the drainage device was lower. It could improve the characteristics of flow field by adding the grids, which was also mentioned in other literatures [16–18].


## 3.1. Analysis of Interior Flow Field Characteristics

Confined to the length of the thesis, only flow field characteristics at T3 moment and T6 moment were analyzed. Contours of velocity magnitude (a), velocity vector (b), stream function (c), static pressure (d), turbulent intensity (e), and turbulent kinetic energy (f) in drainage device at T3 moment were described, as shown in Figure5. At this moment, the floating ball had just reached the lower mid position of liquid inlet, and the gap at the bottom of the floating ball kept on increasing. The flushing action of influent liquid led to uneven force of the floating ball, but flow irregularity turned to be weak. As shown in Figure 4, the flow field on left and right sides of floating ball displayed an asymmetric distribution, and the left side showed an area of lower velocity. The flow field on the right side was uniformly distributed, and velocity increased from device walls to surface of floating ball. As shown in Figure 5(c), the lower left of device formed vortex because of the flushing action of influent liquid and retardation in the local scope. The flow field on upside of floating ball maintained stability, and the maximum velocity appeared in the central position of drainpipe.As shown in Figure5(d), the static pressure underneath the floating ball had risen to the same level as the upside of the floating ball. Surprisingly, the static pressure in the drainpipe was much lower and well distributed. Figures 5(e) and 5(f) showed that the maximum turbulent intensity, at a value of 5.16, existed at the lower right of the floating ball and the right side in the drainpipe. The value of maximum turbulent kinetic energy was 4 m2/s2. This situation may result from the fact that the floating ball was almost at the opposite side to the water inlet, which promoted the formation of disturbance. Scrutinizing the turbulent intensity and turbulent kinetic energy revealed the variation of the former is more dramatic than the latter.Contours of velocity magnitude (a), velocity vector (b), stream function (c), static pressure (d), turbulent intensity (e), and turbulent kinetic energy (f) in drainage device at T6 moment were described, as shown in Figure6. Figures 6(a), 6(b), and 6(c) showed that the velocity of the lower left side of the floating ball was bigger than one of the right side which almost appeared in static state. Besides, velocity distribution was obviously asymmetrical, typical pipe flow characteristics were shown, and the maximum velocity which achieved 3.12 m/s appeared in the central position of drainpipe.It was shown in Figure3 (T6), Figure 4 (T6), and Figure 6(c) that the flow field of upper right side was almost static state. Scrutinizing the postprocessing results by Tecplot and Fluent software, respectively, revealed the variation of the former shows better details of flow field characteristics such as detailed distribution, direction, and distance of streamlines, but the latter is better at fast output of streamlines.As shown in Figure7(d), the static pressure of lower left side of the device was almost the same with the upper side, and the static pressure of the inlet position was lower because of dynamic pressure. Contours of turbulent intensity (e) was similar with ones of turbulent kinetic energy (f); both of them showed that higher turbulent intensity and turbulent kinetic energy appeared at the lower left side and lower right side of the floating ball’s bottom in the device, and the maximum value appeared at both sides of the top in the drainpipe. The turbulent intensity at the inlet position of the device was lower because there was larger inlet as well as smaller outlet in the device [15]. At this moment, turbulence of fluid was lower and it was beneficial to drain.Figure 7
(a) Contours of velocity magnitude; (b) contours of velocity vector; (c) contours of stream function; (d) contours of static pressure; (e) contours of turbulent intensity; (f) contours of turbulent kinetic energy after installation of grids at T3 moment.
(a)
(b)
(c)
(d)
(e)
(f)


## 3.2. Effects on Installation of Grids

Installation of grids in the device can be used to enhance stability of floating ball, make the inlet water well distributed, and decrease the flushing action to floating ball. Besides, the grids could also decrease the turbulent intensity of the flow field in the device, cut the stagnant area of water in drainage process, and guarantee the device safe, stable, and highly efficient operation. The grids installed in device were 390 mm high, and the diameter of cylinder was 248 mm, the size of circular mesh was 6 mm, and thickness was 2 mm. The flow field characteristics after installation of grids at T3 moment were shown in Figure7.In contrast to contours of velocity magnitude (a) and velocity vector (b) before (Figure7) and after (Figure 7) installation of grids in the device at T3 moment, it was shown that the velocity of liquid at the position of inlet was distributed in a holistic uniform manner, various parts in the device can be faster filled with liquid, and it was beneficial to higher efficiency drainage after the installation of grids. Contours of stream function (c) showed that the formed vortex was significantly reduced and the streamline was more uniform. The results suggested that the flushing action of liquid turned to be weak. Figure 7(d) indicated that the static pressure on both sides was uniform symmetric distribution and the stability was enhanced as well as a lower head loss characteristic.In contrast to contours of turbulence intensity (e) and turbulent kinetic energy (f), it was shown that the turbulence intensities varied widely before and after the installation of grids, and obviously the latter was distributed in a holistic uniform manner. Meanwhile, turbulence of the drainage device was lower. It could improve the characteristics of flow field by adding the grids, which was also mentioned in other literatures [16–18].


## 4. Conclusions

The following conclusions could be drawn as follows:(1) It is extremely important to test the physicochemical properties of crude oil sample for rational design of drainage device and accurate simulation of flow field characteristics.(2) The flow field characteristics of drainage device, including pressure, velocity, and turbulent intensity, are obtained by numerical simulation method, which could reflect the validity of drainage effectiveness.(3) Installation of grids could significantly optimize the flow field characteristics and, furthermore, improve the effectiveness of drainage and oil-water separation process.(4) The analysis on the parameters such as velocity magnitude, vector, and stream function is conductive to drainage device design modification.These findings provide insights into the development of effective selection methods and serve as important references for oil-water separation process.



---

*Source: 8916313-2017-07-04.xml*