Corrigendum to “Mesoscale modeling of emulsification in rotor–stator devices: Part I: A population balance model based on EMMS concept” [Chem. Eng. Sci. 193 (2019) 171–183]

2019 ◽  
Vol 197 ◽  
pp. 419 ◽  
Author(s):  
Chao Chen ◽  
Xiaoping Guan ◽  
Ying Ren ◽  
Ning Yang ◽  
Jinghai Li ◽  
...  
Keyword(s):  
Population Balance ◽  
Mesoscale Modeling ◽  
Balance Model ◽  
Population Balance Model ◽  
Model Based

Population Balance Model-Based Hybrid Neural Network for a Pharmaceutical Milling Process

2010 ◽  
Vol 5 (4) ◽  
pp. 161-168 ◽  
Author(s):  
Pavan Kumar Akkisetty ◽  
Ung Lee ◽  
Gintaras V. Reklaitis ◽  
Venkat Venkatasubramanian
Keyword(s):  
Neural Network ◽  
Population Balance ◽  
Milling Process ◽  
Balance Model ◽  
Population Balance Model ◽  
Hybrid Neural Network ◽  
Model Based

scholarly journals Study on the regional characteristics during foam flooding by population balance model

2020 ◽  
pp. 014459872098361
Author(s):  
Zhongbao Wu ◽  
Qingjun Du ◽  
Bei Wei ◽  
Jian Hou
Keyword(s):  
Numerical Simulation ◽  
Simulation Model ◽  
Oil Recovery ◽  
Population Balance ◽  
Growth Zone ◽  
Balance Model ◽  
Population Balance Model ◽  
Liquid Ratio ◽  
One Dimensional ◽  
Foam Flooding

Foam flooding is an effective method for enhancing oil recovery in high water-cut reservoirs and unconventional reservoirs. It is a dynamic process that includes foam generation and coalescence when foam flows through porous media. In this study, a foam flooding simulation model was established based on the population balance model. The stabilizing effect of the polymer and the coalescence characteristics when foam encounters oil were considered. The numerical simulation model was fitted and verified through a one-dimensional displacement experiment. The pressure difference across the sand pack in single foam flooding and polymer-enhanced foam flooding both agree well with the simulation results. Based on the numerical simulation, the foam distribution characteristics in different cases were studied. The results show that there are three zones during foam flooding: the foam growth zone, stable zone, and decay zone. These characteristics are mainly influenced by the adsorption of surfactant, the gas–liquid ratio, the injection rate, and the injection scheme. The oil recovery of polymer-enhanced foam flooding is estimated to be 5.85% more than that of single foam flooding. Moreover, the growth zone and decay zone in three dimensions are considerably wider than in the one-dimensional model. In addition, the slug volume influences the oil recovery the most in the foam enhanced foam flooding, followed by the oil viscosity and gas-liquid ratio. The established model can describe the dynamic change process of foam, and can thus track the foam distribution underground and aid in optimization of the injection strategies during foam flooding.

Population balance model for solid state sintering II. Grain growth

2001 ◽  
Vol 27 (1) ◽  
pp. 63-71 ◽  
Author(s):  
S Sivakumar ◽  
Manjunath Subbanna ◽  
Satyam S Sahay ◽  
Vijay Ramakrishnan ◽  
P.C Kapur ◽  
...  
Keyword(s):  
Solid State ◽  
Grain Growth ◽  
Population Balance ◽  
Balance Model ◽  
Population Balance Model ◽  
Solid State Sintering
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