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

© 2024 The Authors. Published by American Chemical Society..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

ACS omega - 9(2024), 10 vom: 12. März, Seite 11181-11193

Sprache:

Englisch

Beteiligte Personen:

Banerjee, Shirsendu [VerfasserIn]
Banik, Anirban [VerfasserIn]
Rajak, Vinay Kumar [VerfasserIn]
Bandyopadhyay, Tarun Kanti [VerfasserIn]
Nayak, Jayato [VerfasserIn]
Jasinski, Michał [VerfasserIn]
Kumar, Ramesh [VerfasserIn]
Jeon, Byong-Hun [VerfasserIn]
Siddiqui, Masoom Raza [VerfasserIn]
Khan, Moonis Ali [VerfasserIn]
Chakrabortty, Sankha [VerfasserIn]
Tripathy, Suraj K [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Revised 19.03.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1021/acsomega.3c05290

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369866878