MODELING OF CEMENT SUSPENSION FLOWIN FINE SANDS IN THE PRESENCE OF PARTICLE FILTRATION

2011 ◽  
Vol 14 (2) ◽  
pp. 107-125 ◽  
Author(s):  
Fatiha Bouchelaghem
Keyword(s):  
Toxins ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 285 ◽  
Author(s):  
Wanda Czyżewska ◽  
Marlena Piontek

The research presented in this manuscript concerns the evaluation of the effectiveness of microstrainers, which are designed to reduce the amount of plankton in treated surface water. The efficiency of microstrainer filtration analysis is very important for the proper course of the water-treatment process not only in the Water-Treatment Plant (WTP) in Zielona Góra (central western Poland) but also in other WTPs around the world. The qualitative and quantitative monitoring of the abundance of plankton including cyanobacteria during the particle-filtration process allows not only for the assessment of the potential cyanotoxic risk in surface water providing a source of drinking water, but also allows the evaluation of the action and the prevention of adverse impacts of microstrainers. Over four years of research, it was observed that the largest amount of cyanobacteria before microstrainer filtration took place in May. The dominant species was Limnothrix redeckei. The microstrainer removal of plankton and cyanobacteria was statistically significant. The quantity of removed plankton increased with its increasing content in raw water. The particle-filtration process, by reducing the amount of cyanobacteria, contributes to a decrease in intracellular microcystins.


2013 ◽  
Vol 57 ◽  
pp. 96-113 ◽  
Author(s):  
Mengbai Wu ◽  
Warren J. Jasper ◽  
Andrey V. Kuznetsov ◽  
Nathan Johnson ◽  
Srinivasan C. Rasipuram

2005 ◽  
Author(s):  
A. Mayer ◽  
J. Czerwinski ◽  
M. Wyser ◽  
P. Mattrel ◽  
A. Heitzer

Fuel ◽  
2019 ◽  
Vol 237 ◽  
pp. 308-319 ◽  
Author(s):  
Fei-Long Wang ◽  
Ya-Ling He ◽  
Song-Zhen Tang ◽  
Francis A. Kulacki ◽  
Yu-Bing Tao

2020 ◽  
Vol 12 (2) ◽  
pp. 156-159
Author(s):  
Aditya Gautama ◽  
Budiana Budiana

Electronics Tecnology is currently developing very rapidly. Computational capabilities that continue to increase are accompanied by a decrease in the size of the electronic components used on a chip or IC (Integrated Circuit). The size of the components that have reached nanometers makes the components very sensitive to impurities in the form of particles. A special fabrication place in the form of a cleanroom is needed so that the number of impurity particles can be controlled and the damage caused by impurity particles on the product can be reduced. One of the standards used to classify a cleanroom and measure the particles in it is ISO 14644-1. In this study, particle measurements were carried out in accordance with ISO 14644-1 standards to measure the number of particles in the TFME cleanroom. The measurement results classify the cleanroom in TFME into ISO Class 7. This is consistent with the initial TFME cleanroom design, meaning that the particle filtration system is still in a good condition.


SPE Journal ◽  
2019 ◽  
Vol 24 (05) ◽  
pp. 2195-2208 ◽  
Author(s):  
Siti Nur Shaffee ◽  
Paul F. Luckham ◽  
Omar K. Matar ◽  
Aditya Karnik ◽  
Mohd Shahrul Zamberi

Summary In many industrial processes, an effective particle–filtration system is essential for removing unwanted solids. The oil and gas industry has explored various technologies to control and manage excessive sand production, such as by installing sand screens or injecting consolidation chemicals in sand–prone wells as part of sand–management practices. However, for an unconsolidated sandstone formation, the selection and design of effective sand control remains a challenge. In recent years, the use of a computational technique known as the discrete–element method (DEM) has been explored to gain insight into the various parameters affecting sand–screen–retention behavior and the optimization of various types of sand screens (Mondal et al. 2011, 2012, 2016; Feng et al. 2012; Wu et al. 2016). In this paper, we investigate the effectiveness of particle filtration using a fully coupled computational–fluid–dynamics (CFD)/DEM approach featuring polydispersed, adhesive solid particles. We found that an increase in particle adhesion reduces the amount of solid in the liquid filtrate that passes through the opening of a wire–wrapped screen, and that a solid pack of particle agglomerates is formed over the screen with time. We also determined that increasing particle adhesion gives rise to a decrease in packing density and a diminished pressure drop across the solid pack covering the screen. This finding is further supported by a Voronoi tessellation analysis, which reveals an increase in porosity of the solid pack with elevated particle adhesion. The results of this study demonstrate that increasing the level of particle agglomeration, such as by using an adhesion–promoting chemical additive, has beneficial effects on particle filtration. An important application of these findings is the design and optimization of sand–control processes for a hydrocarbon well with excessive sand production, which is a major challenge in the oil and gas industry.


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