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Banerjee S, Banik A, Rajak VK, Bandyopadhyay TK, Nayak J, Jasinski M, Kumar R, Jeon BH, Siddiqui MR, Khan MA, Chakrabortty S, Tripathy SK. Two-Phase Crude Oil-Water Flow Through Different Pipes: An Experimental Investigation Coupled with Computational Fluid Dynamics Approach. ACS OMEGA 2024; 9:11181-11193. [PMID: 38497000 PMCID: PMC10938452 DOI: 10.1021/acsomega.3c05290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/23/2024] [Accepted: 02/09/2024] [Indexed: 03/19/2024]
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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Affiliation(s)
- Shirsendu Banerjee
- School
of Chemical Technology, Kalinga Institute
of Industrial Technology, Bhubaneswar 751024, India
| | - Anirban Banik
- Department
of Civil Engineering, NIT Sikkim, Ravangla, Sikkim 737139, India
| | - Vinay Kumar Rajak
- Department
of Petroleum Engineering, Indian Institute
of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India
| | | | - Jayato Nayak
- Centre
for Life Sciences, Mahindra University, Hyderabad, Telengana 500043, India
| | - Michał Jasinski
- Department
of Electrical Engineering Fundamentals, Wroclaw University of Science and Technology, 27 Wybrzeze, Wyspianskiego, St., Wrocław 50-370, Poland
| | - Ramesh Kumar
- Department
of Earth Resources & Environmental, Engineering, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic
of Korea
| | - Byong-Hun Jeon
- Department
of Earth Resources & Environmental, Engineering, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic
of Korea
| | - Masoom Raza Siddiqui
- Chemistry
Department, College of Science, King Saud
University, Riyadh 11451, Saudi Arabia
| | - Moonis Ali Khan
- Chemistry
Department, College of Science, King Saud
University, Riyadh 11451, Saudi Arabia
| | - Sankha Chakrabortty
- School
of Chemical Technology, Kalinga Institute
of Industrial Technology, Bhubaneswar 751024, India
| | - Suraj K. Tripathy
- School
of Chemical Technology, Kalinga Institute
of Industrial Technology, Bhubaneswar 751024, India
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Dey A, Bhunia B. Recent Advances in Strain Improvement, Production, Purification and Applications of Industrial Enzyme. Recent Pat Biotechnol 2019; 13:3. [PMID: 30810101 DOI: 10.2174/187220831301190201122202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Apurba Dey
- Department of Bio Engineering, NIT Agartala, India
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