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Experimental and CFD simulation of slurry flow in the annular flow path using two-fluid model

Movahedi, H ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.petrol.2020.108224
  3. Publisher: Elsevier B.V , 2021
  4. Abstract:
  5. The current study is allocated to experimental evaluation of the multiphase flow of fine solid particles (FSPs) as well as comprehensive numerical study in an annular space under static, laminar, and turbulent flow conditions with consideration of the inner pipe eccentricity and rotation. The experimental investigation was carried out using an annular pipe flow loop. The numerical modeling and simulation of the multiphase flow in the annular space have been performed using the Euler-Euler approach. The unsteady-state multiphase model based on the kinetic theory of granular flow (KTGF) is developed to investigate the particulate flow characteristics in the annular space. Moreover, Standard and Realizable k-ε turbulence models used to predict turbulence in this study. The Realizable Per-Phase turbulence model with new corrected coefficients (C2=4.2,C3=1.3,CT=0.0131,σk=1,σε=1.2) is calibrated to predict the pressure drop along the annular pipe for solid-liquid multiphase flow. Comparison between numerical and experimental analyses showed that under both flowing and static conditions, the simulation results are in good agreement with experimental data. Based on the error estimation model, the CFD model's accuracy for pressure drop and FSPs concentration prediction is 99% and 95%, respectively. The trends of the variation in particle concentration along the annular pipe were investigated for different flow velocities (0.05–2.5 m/s) and different inner pipe rotations of 500, 1000, and 1500 rpm. The results also showed that the higher particle settling occurred at the critical inclination angles of 45–60°. © 2020 Elsevier B.V
  6. Keywords:
  7. Drops ; Forecasting ; Granular materials ; Petroleum reservoir evaluation ; Pipe flow ; Pressure drop ; Turbulence models ; Two phase flow ; Concentration prediction ; Experimental evaluation ; Experimental investigations ; K-epsilon turbulence model ; Kinetic theory of granular flow ; Model and simulation ; Numerical and experimental analysis ; Particle concentrations ; Computational fluid dynamics ; Computational fluid dynamics ; Computer simulation ; Experimental study ; Flow modeling ; Laminar flow ; Multiphase flow ; Numerical model ; Slurry ; Turbulence ; Turbulent flow
  8. Source: Journal of Petroleum Science and Engineering ; Volume 198 , 2021 ; 09204105 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S092041052031278X