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Construction of the Maximum Erosion Rate Equation Model of an Inverted Cone Hydrocyclone with Tangential Inlet.
- Source :
- Journal of Beijing Institute of Petrochemical Technology; 2022, Vol. 30 Issue 2, p17-34, 8p
- Publication Year :
- 2022
-
Abstract
- Inverted cone hydrocyclone, used as the downhole separator in the DOWS systems, could be affected by the particles in the produced water, which leads to the erosion on its inlet and the wall, damaging the wall quality, affecting the flow state, thus reducing the separation effect and affecting the service life. In order to investigate the erosion law of the solid particles on the hydrocyclone, the DPM model and the response surface method were used to simulate the interaction between the particles and the separator. The main parameters were found out in this paper along with a multiple regression fitting equation model of the maximum wear rate of the hydrocyclone's wall. The results show that under the action of sand-bearing well fluid, the flow velocity, the concentration and the size of the solid particles have significant effects on the inlet and cylindrical section of the downhole inverted cone hydroyclone with the tangential inlet. Within the range of operating parameters, the maximum wear rates of the inlet and cylindrical section increase significantly with the increase of these three parameters. The multiple regression fitting equation model can be used to predict the abrasion degree and service life of the inverted cone hydrocyclone, as the correlation coefficient R-squared is 0.9403, the maximum relative error is 4.91%, and the average relative error is 3.52%. [ABSTRACT FROM AUTHOR]
- Subjects :
- RATE equation model
EROSION
INLETS
MECHANICAL wear
SERVICE life
Subjects
Details
- Language :
- Chinese
- ISSN :
- 10082565
- Volume :
- 30
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Beijing Institute of Petrochemical Technology
- Publication Type :
- Academic Journal
- Accession number :
- 157975814
- Full Text :
- https://doi.org/10.19770/j.cnki.issn.1008-2565.2022.02.004