Numerical simulation study of offshore heavy oil desanding by hydrocyclones

Jing, Jiaqiang; Zhang, Shijian; Qin, Min; Luo, Jiaqi; Shan, Yuting; Cheng, Yuanzhao; Tan, Jiatong

doi:10.1016/j.seppur.2020.118051

Cited by 38 publications

(8 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis of variance and tests need to be performed on the fitted equations for accuracy and reliability [36], and the results are shown in Table 4. To some extent, p-value provides the reliability basis for our model [37,38]. The high significance indicates that the fitted regression equation meets the prediction requirements.…”

Section: Optimization Model Validationmentioning

confidence: 93%

Effect of Internal Vortex-Finder on Classification Performance for Double Vortex-Finder Hydrocyclone

Zhang

Jiang

et al. 2022

Separations

View full text Add to dashboard Cite

The double vortex-finder hydrocyclone formed by a coaxial insertion of an internal vortex-finder with a smaller diameter inside the conventional single vortex-finder used to obtain two kinds of products from the internal and external overflows in one classification has attracted wide attention. To further improve the classification performance of the hydrocyclone, the effects of the internal vortex-finder diameter and length on the classification performance were studied by numerical simulation and response surface modeling with the behavior of fluid and particle motion in the double vortex-finder hydrocyclone as the research object. The results showed that the split ratio and pressure drop of internal and external overflow increased with the diameter of the internal vortex-finder. The classification performance was optimal when the diameter ratio of internal and external overflow was 0.88, the yield of −20 μm particles was more than 80.0%, and the highest was 95.0%. Increasing the internal vortex-finder length could reduce the coarse particle content and improve the classification accuracy of the internal overflow product. When the length of the internal vortex-finder is larger than 80 mm, the +30 μm yield was lower than 20.0%, and the maximum k value was 16.3%; the k is the significant factor used to characterize the effectiveness of −20μm particle collection. The response surface modeling revealed that the internal vortex-finder diameter was the most important factor affecting the distribution rate of internal overflow. This paper is expected to advance the development of the classification industry.

show abstract

Section: Optimization Model Validationmentioning

confidence: 93%

Effect of Internal Vortex-Finder on Classification Performance for Double Vortex-Finder Hydrocyclone

Zhang

Jiang

et al. 2022

Separations

View full text Add to dashboard Cite

show abstract

“…Therefore, the RSM model was implemented as an internal turbulence model. The corresponding control equations (Vakamalla and Mangadoddy 2017;Jing et al 2021) are as follows:…”

Section: Numerical Modelingmentioning

confidence: 99%

“…In the discrete phase model (DPM), the flow of particles is regarded as the movement between multiple interacting particles. This approach is employed to solve the trajectory of the dispersed phase in steady and unsteady flow fields, and the influence of turbulence caused by continuous phase vortex on the dispersed phase is taken into account (Jing et al 2021;Guo et al 2022). Fine mineral particles are involved in iron tailings slurry, which is suitable for discrete phase modeling.…”

Section: Numerical Modelingmentioning

confidence: 99%

Enhancement of the classification and recovery process of fine mineral particles via a newly developed volute feed hydrocyclone

Wei

et al. 2023

Preprint

View full text Add to dashboard Cite

Ore resources in the mining process form a large number of unmanageable tailings, mostly inhalable fine mineral particles, into the environment will cause serious pollution, and recycling is a precious resource. The cyclone classification provides the possibility for the recovery and exploitation of fine particles, but the recovery and utilization rate of conventional cyclone separation is seriously low, and the performance urgently should be optimized. In the present study, a new type of volute feed was proposed to strengthen the classification and recovery process of fine mineral particles. Combined with numerical simulation and experimental research, the effects of various structural parameters and operating parameters on the flow field distribution, particle motion, and classification performance were systematically examined.The obtained results reveal that the new volute feed structure can effectively reduce the internal turbulence and improve the flow field stability and particle classification efficiency. Compared with the traditional hydrocyclone, the classification efficiency of fine particles with new feed structure increases by 10%-18%. Increasing underflow diameter and feed pressure and reducing overflow diameter and feed concentration are also beneficial to lessening classification particle size and enhancing classification performance. The currently achieved outcomes can provide valuable guidelines for further development of novel hydrocyclones.

show abstract

“…The separation process of two-phase vapor in the cyclone presented an internal and external two-layer swirl; especially, the turbulence degree of the internal swirl was higher, and the anisotropy was more obvious [27,28]. The Reynolds stress model (RSM) considers the characteristics of rapid change of vortex, rotation, and tension in engineering turbulence calculation, and can solve the problem of anisotropy of the internal and external vortex [29].…”

Section: Governing Equationsmentioning

confidence: 99%

Modeling and Numerical Simulation of the Inlet Velocity on Oil–Water Two-Phase Vapor Separation Efficiency by the Hydrocyclone

Zhao

Sun²,

Wang³

et al. 2022

Energies

View full text Add to dashboard Cite

The density of tar vapor and water vapor produced by coal pyrolysis is different. Different centrifugal forces will be generated when they flow through the hydrocyclone. The water vapor and tar vapor are divided into inner and outer layers. According to this phenomenon, the moisture in the tar can be removed. In this paper, a Eulerian gas–liquid two-phase flow model is established by numerical simulation to study the effect of inlet velocity on the separation effect of a designed hydrocyclone (split ratio 0.2). The results show that the inlet velocity and moisture content have an influence on the volume distribution characteristics, tangential velocity, axial velocity, pressure drop distribution, and separation efficiency of tar vapor and water vapor in the hydrocyclone. When the inlet velocity increases from 2.0 to 12.0 m/s, the central swirl intensity increases, and the negative pressure sweep range at the overflow outlet increases. The axial velocity increased from 2.8 to 14.9 m/s, tar vapor content at the overflow outlet decreased from 74% to 37%, and at the underflow outlet increased from 89% to 92%. When the moisture content is lower than 10%, the hydrocyclone with the split ratio of 0.20 is no longer suitable for the separation of oil–water two-phase vapor. However, when the water content is higher than 20%, the purity of tar vapor at the underflow outlet can reach 92%, and the overflow outlet needs multistage separation to realize tar purification.

show abstract

Numerical simulation study of offshore heavy oil desanding by hydrocyclones

Cited by 38 publications

References 34 publications

Effect of Internal Vortex-Finder on Classification Performance for Double Vortex-Finder Hydrocyclone

Effect of Internal Vortex-Finder on Classification Performance for Double Vortex-Finder Hydrocyclone

Enhancement of the classification and recovery process of fine mineral particles via a newly developed volute feed hydrocyclone

Modeling and Numerical Simulation of the Inlet Velocity on Oil–Water Two-Phase Vapor Separation Efficiency by the Hydrocyclone

Contact Info

Product

Resources

About