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Two-Phase Crude Oil-Water Flow Through Different Pipes: An Experimental Investigation Coupled with Computational Fluid Dynamics Approachopen access

Authors
Banerjee, ShirsenduBanik, AnirbanRajak, Vinay KumarBandyopadhyay, Tarun KantiNayak, JayatoJasinski, MichalKumar, RameshJeon, Byong-HunSiddiqui, Masoom RazaKhan, Moonis AliChakrabortty, SankhaTripathy, Suraj K.
Issue Date
Mar-2024
Publisher
ACS Publications
Keywords
Few-shot learning; MAML; meta-learning; video frame interpolation; visual tracking
Citation
ACS Omega, v.9, no.10, pp 11181 - 11193
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
ACS Omega
Volume
9
Number
10
Start Page
11181
End Page
11193
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/196598
DOI
10.1021/acsomega.3c05290
ISSN
2470-1343
2470-1343
Abstract
The present study deals with two-phase non-Newtonian pseudoplastic crude oil and water flow inside horizontal pipes simulated by ANSYS. The study helps predict velocity and velocity profiles, as well as pressure drop during two-phase crude-oil-water flow, without complex calculations. Computational fluid dynamics (CFD) analysis will be very important in reducing the experimental cost and the effort of data acquisition. Three independent horizontal stainless steel pipes (SS-304) with inner diameters of 1 in., 1.5 in., and 2 in. were used to circulate crude oil with 5, 10, and 15% v/v water for simulation purposes. The entire length of the pipes, along with their surfaces, were insulated to reduce heat loss. A grid size of 221,365 was selected as the optimal grid. Two-phase flow phenomena, pressure drop calculations, shear stress on the walls, along with the rate of shear strain, and phase analysis were studied. Moreover, velocity changes from the wall to the center, causing a velocity gradient and shear strain rate, but at the center, no velocity variation (velocity gradient) was observed between the layers of the fluid. The precision of the simulation was investigated using three error parameters, such as mean square error, Nash-Sutcliffe efficiency, and RMSE-standard deviation of observation ratio. From the simulation, it was found that CFD analysis holds good agreement with experimental results. The uncertainty analysis demonstrated that our CFD model is helpful in predicting the rheological parameters very accurately. The study aids in identifying and predicting fluid flow phenomena inside horizontal straight pipes in a very effective way.
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