Providing an Analytical Model in Determining Nanofluids

Shahriari, Alireza; Jahantigh, Nabi; Rakani, F.

doi:10.5829/ije.2017.30.12c.14

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Most of the models for viscosity are valid for small fractions of concentrations but Shahriari et al [8] proposed a model for particle concentration up to 11 vol.%. Shahriari et al [9] studied different models to estimate the thermal conductivity and viscosity of nanofluids.…”

Section: Introductionmentioning

confidence: 99%

Viscosity Analysis of Water-based Copper Oxide Nanofluids

Singh¹,

Kumar²,

Kumar³

et al. 2023

IJE

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Section: Introductionmentioning

confidence: 99%

Viscosity Analysis of Water-based Copper Oxide Nanofluids

Singh¹,

Kumar²,

Kumar³

et al. 2023

IJE

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Brownian motion models effect on the nanofluid fluid flow and heat transfer in the natural, mixed, and forced convection

MOZAFARY,

AKBAR,

ARANI

et al. 2024

Journal of Thermal Engineering

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In this research, the effect of different models of thermal conductivity and dynamic viscosity has been investigated by considering the effect of Brownian motion of nanoparticles on the flow field and heat transfer of nanofluids. This study was performed numerically in a square cavity with water/aluminum-oxide nanofluid in three modes of natural, mixed and forced convection by changing the independent variable such as nanoparticle volume fraction, Rayleigh number, Richardson number, and Reynolds number. The governing equations with certain boundary conditions are solved using the finite volume method. Also, according to the obtained numerical results, Nusselt number has been investigated for different conditions with and without consid-ering Brownian motion. The results showed that for all the studied models, in all three modes of natural, mixed and forced convection, the average Nusselt number when the effect of Brownian motion is considered, is more than the case that the effect of this motion is not considered. In all cases, the Koo & Kleinstreuer and Li & Kleinstreuer models show approximately the same values for the maximum mean Nusselt number. The similar results are obtained employing the Wajjha & Das and Xiao et al. models. For mixed convection, the highest and lowest increases of Nusselt number, considering Brownian motion are 17.68% and 14.84%, respectively. While referred val-ues for forced convection are 30.46% and 17.94 %, respectively.

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Investigation of Reservoir Permeability Impairment When Drilling with Nano Treated Drill-in Mud System

Okoro

Okafor²,

Sanni

et al. 2020

Day 1 Tue, August 11, 2020

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A reservoir non-damaging Nano treated aqueous-based drilling fluid was proposed. The study was carried out to obtain a drilling ﬂuid with rheological properties able to keep cuttings in suspension for transport to the surface, minimize ﬁltration and ﬂuid loss. These rheological properties were also predicted using Artificial Neural Network (ANN) due to limitations of existing flow models in predicting Nano-based mud systems. Diﬀerent concentrations of the Nanoparticles were added to these suspensions of water to act as filtration loss materials. A total number of 160 data were used to train the ANN which consists of both the input data and output data acquired from the experiment. The study shows good agreement between experimental data and the artificial neural network prediction of plastic viscosity (PV) and yield point (YP), for multiwall carbon nanotubes (MWCNT) formulated muds. The addition of different concentrations of MWCNT (0.5 – 3 g) as rheology modifier-additive was put to test in a field applicable aqueous mud system. The developed neural network has a Mean Absolute Deviation (MAD) of 0.61529, MSE of 0.57174, Root Mean Square Error (RMSE) of 0.75614 and Mean Absolute Percentage Error (MAPE) of 1.92331 for the predicted plastic viscosity and yield point which are all indicative of good levels of accuracy. It is important to explore the reservoir impairment mechanisms so as to improve and optimize the reservoir performance during the production of hydrocarbons. Having satisfied all the conditions, permeability was determined using Darcy's equation. A reduction in permeability within the range of 12 – 16 mD was recorded for the Nano treated water-based mud system.

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Providing an Analytical Model in Determining Nanofluids

Cited by 3 publications

References 11 publications

Viscosity Analysis of Water-based Copper Oxide Nanofluids

Viscosity Analysis of Water-based Copper Oxide Nanofluids

Brownian motion models effect on the nanofluid fluid flow and heat transfer in the natural, mixed, and forced convection

Investigation of Reservoir Permeability Impairment When Drilling with Nano Treated Drill-in Mud System

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