Numerical study of different particle size distribution for modeling of solid-liquid extraction in randomly packed beds

2016 ◽  
Vol 171 ◽  
pp. 131-143 ◽  
Author(s):  
Yan Wang ◽  
Volker Herdegen ◽  
Jens-Uwe Repke
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Numerical Study ◽  
Liquid Extraction ◽  
Packed Beds ◽  
Solid Liquid Extraction ◽  
Solid Liquid

Assessment of Lost Circulation Material Particle-Size Distribution on Fracture Sealing: A Numerical Study

2022 ◽  
pp. 1-15
Author(s):  
Lu Lee ◽  
Arash Dahi Taleghani
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Numerical Study ◽  
Fluid Loss ◽  
Material Particle ◽  
Lost Circulation ◽  
Fracture Sealing ◽  
Discrete Element Methods ◽  
Lost Circulation Materials

Summary Lost circulation materials (LCMs) are essential to combat fluid loss while drilling and may put the whole operation at risk if a proper LCM design is not used. The focus of this research is understanding the function of LCMs in sealing fractures to reduce fluid loss. One important consideration in the success of fracture sealing is the particle-size distribution (PSD) of LCMs. Various studies have suggested different guidelines for obtaining the best size distribution of LCMs for effective fracture sealing based on limited laboratory experiments or field observations. Hence, there is a need for sophisticated numerical methods to improve the LCM design by providing some predictive capabilities. In this study, computational fluid dynamics (CFD) and discrete element methods (DEM) numerical simulations are coupled to investigate the influence of PSD of granular LCMs on fracture sealing. Dimensionless variables were introduced to compare cases with different PSDs. We validated the CFD-DEM model in reproducing specific laboratory observations of fracture-sealing experiments within the model boundary parameters. Our simulations suggested that a bimodally distributed blend would be the most effective design in comparison to other PSDs tested here.

scholarly journals An experimental and numerical study of particle size distribution effects on the sintering of porous ceramics

2003 ◽  
Vol 348 (1-2) ◽  
pp. 76-83 ◽  
Author(s):  
Ken Darcovich ◽  
Floyd Toll ◽  
Pierre Hontanx ◽  
Virginie Roux ◽  
Kazunari Shinagawa
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Numerical Study ◽  
Porous Ceramics

Kinetics of green solid-liquid extraction of andrographolide from Andrographis paniculata: effects of particle size and solid-liquid ratio

2015 ◽  
Vol 4 (5) ◽  
Author(s):  
Umar Isah Abubakar ◽  
Lee Suan Chua ◽  
Ramlan Aziz
Keyword(s):  
Particle Size ◽  
Liquid Extraction ◽  
Andrographis Paniculata ◽  
Liquid Ratio ◽  
Solid Liquid Extraction ◽  
Solid Liquid ◽  
Kinetics Of

AbstractIn this work, the influences of particle size and solid-liquid ratio on the kinetics of green solid-liquid extraction of andrographolide from

Effect of Particle Size on Pipeline Flow of Solid-Liquid Slurry With Fixed Particle Size Distribution

2002 ◽  
Author(s):  
P. V. Skudarnov ◽  
M. Daas ◽  
C. X. Lin ◽  
M. A. Ebadian ◽  
P. W. Gibbons ◽  
...  
Keyword(s):  
Particle Size ◽  
Pressure Drop ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Deposition Velocity ◽  
Single Species ◽  
Flow Loop ◽  
Pipeline Flow ◽  
Liquid Slurry ◽  
Solid Liquid

The transport properties of solid-liquid slurries having the same well-defined particle size distribution but different median particle sizes have been studied in a 22-mm I.D. horizontal pipeline flow loop. The solid-liquid slurries were glass beads-water mixtures. The particle size distribution of solids was Rosin-Rammler with median diameters of 50 mm and 250 mm. The relationship between the pressure drop in the straight horizontal sections of the flow loop and the mean slurry velocity was determined for different solids volume concentrations varying from 4.5 to 25% and mean slurry velocity ranging from 0.5 to 2.5 m/s. Critical deposition velocity was measured from visual observations. An existing empirical model of Wasp et al. that predicts the pressure gradient for a single-species slurry flow in a horizontal pipeline was used to describe the pressure drop data. The Oroskar-Turian correlation for critical velocity was used for comparison with the measured critical velocities.

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