Mechanistic Modeling of Solids Separation in Solid/Liquid Hydrocyclones
- Jose G. Severino (Cimarex Energy) | Luis E. Gomez (University of Tulsa) | Ram S. Mohan (University of Tulsa) | Shoubo Wang (University of Tulsa) | Ovadia Shoham (University of Tulsa)
- Document ID
- Society of Petroleum Engineers
- SPE Projects, Facilities & Construction
- Publication Date
- September 2010
- Document Type
- Journal Paper
- 121 - 135
- 2010. Society of Petroleum Engineers
- 4.2 Pipelines, Flowlines and Risers, 4.1.2 Separation and Treating, 6.5.2 Water use, produced water discharge and disposal, 4.1.5 Processing Equipment
- Solids/Liquid Separation, Solids, Solids Removal, Sand, Hydrocyclones
- 3 in the last 30 days
- 483 since 2007
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Hydrocyclones have been used for many years for removing solids from continuous liquid media in the mineral, chemical, petroleum, and environmental industries, among others. In oilfield applications, the solid/liquid hydrocyclone (SLHC) has emerged as a sound technological and economical alternative to conventional filtration systems where space, efficiency, reliability, and continuous operations are critical. The SLHC is particularly attractive in offshore, subsea water-injection applications and in other oilfield operations. Early and effective removal of solids in pipelines and process equipment help prevent erosion and premature failures that are costly and pose serious health, safety, or environmental hazards.
To date, hydrocyclone design has relied primarily on empirical experience and, most recently, costly and lengthy computational fluid dynamic (CFD) simulations. The main objective of this work is the development of a mechanistic model for practical, yet reliable, SLHC design. The proposed model is capable of describing the hydrodynamic-flow phenomena inside the hydrocyclone, enabling the prediction of continuous-phase-swirl intensity and the velocity profile used in determining particle trajectories, and hence, the grade separation efficiency curves. The model is validated against oilfield experimental data run under a wide range of conditions and equipment configurations. Model agreement with Global and Grade separation efficiency data are 94.7% and 88.2%, respectively.
|File Size||1 MB||Number of Pages||15|
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