Liquid – Liquid horizontal pipe flow – A review

Ahmed, Syed Amjad; John, Bibin

doi:10.1016/j.petrol.2018.04.012

Cited by 33 publications

(15 citation statements)

References 168 publications

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“…Charles et al [7] and Shi et al [16] found that the introduction of water into a heavy oil pipeline can reduce both the pressure gradient along it and the power required to pump a given amount of the crude. An ideal flow pattern for transporting heavy oil is the core-annular flow (CAF), where the crude flows in the core, while a small quantity/amount of water forms annulus around the oil and lubricates the pipeline [2,7,10,16]. The injected water is pre-treated with a demulsifying agent to help the phase separation at the end of the pipeline [17], so flow pattern determination can suggest the most appropriate way of transporting multiphase flow fluids.…”

Section: Importance Of Flow Patterns In the Industrial Sectormentioning

confidence: 99%

“…Where there is a small density difference (∆ρ) between the two liquids for a liquid-liquid flow system, the effect of gravitational forces is reduced. The wetting ability and interfacial tension properties of liquids have a significant impact on the flow patterns [10,15]. When two immiscible liquids flow together in a pipe, they tend to stratify, but the higher the density difference (∆ρ) is, the better is the achieved stratification [7].…”

Section: Experimental Studies On Liquid-liquid Flow In Horizontal Pipmentioning

confidence: 99%

“…In the gravitational force dominated flow, the stratified flow system tends to be the most likely natural configuration. Generally, the Eo' >> 1 flow systems correspond to liquids with a finite density difference (∆ρ) and sufficiently large pipe diameters where the interface can be assumed to be flat [2,10].…”

Section: Development Of Flow Maps For Liquid-liquid In a Horizontal Pmentioning

confidence: 99%

“…The earliest research into liquid-liquid flow targeted the improvement of transportation of crude oil in pipelines [6][7][8][9], but liquid-liquid flow research is also important for flow in oil well production tubing, enhanced oil recovery (EOR) methods, and the design of chemical reactors and separators [10]. Graph of superficial water velocity versus superficial oil velocity modified after Trallero et al [11] developed for an inner pipe diameter of 50.1 mm, with µ o = 0.0288 Pa s, µ w = 0.00097 Pa s, ρo = 884 kg/m 3 , ρw = 997 * kg/m 3 and σ = 0.036 N/m at 25.5 °C.…”

Section: Introductionmentioning

confidence: 99%

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Liquid-Liquid Flow Pattern Prediction Using Relevant Dimensionless Parameter Groups

et al. 2020

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Accurate predictions of flow patterns in liquid-liquid flow are critical to the successful design and operation of industrial and geo-energy systems where two liquids are jointly transported. Unfortunately, there is no unified flow pattern map, because all published maps are based on limited ranges of dimensional parameters. Dimensional analysis was performed on oil-water horizontal flows, to obtain some relevant dimensionless parameter groups (DPG) for constructing flow pattern maps (FPM). The following combinations of DPG were used: (i) the ratio of mixture Reynolds number to Eötvös number versus water fraction, (ii) the ratio of Weber number to Eötvös number versus water fraction, (iii) the mixture Froude number versus water fraction, (iv) the water Froude number versus oil Froude number, (v) the ratio of gravity force to viscous force versus water fraction. From twelve published experimental studies, 2696 data points were gathered and analysed covering a variety of flow patterns including stratified, stratified mixed, dispersed oil in water, dispersed water in oil, annular and slug flows. Based on the performed analysis, it was found that flow patterns could occupy more than one isolated region on the DPG-based flow pattern map. None of the combinations of DPG can mark out all the considered flow patterns, however, some combinations of DPG are particularly suitable for marking out the regions associated with some flow patterns.

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Section: Importance Of Flow Patterns In the Industrial Sectormentioning

confidence: 99%

Section: Experimental Studies On Liquid-liquid Flow In Horizontal Pipmentioning

confidence: 99%

Section: Development Of Flow Maps For Liquid-liquid In a Horizontal Pmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Liquid-Liquid Flow Pattern Prediction Using Relevant Dimensionless Parameter Groups

et al. 2020

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“…Through liquids characterization, some possible physical changes and transport conditions can be predicted when working with crude oils [1] since is known that asphaltenes are one of the various kinds of compounds in the crude and which could have different structural conformations [2,3].…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Model for the Fractal Dimension Estimation of Asphaltenes Aggregation

Gallegos-Villela*,

Galindo-Lopez,

Perez-Sanchez

et al. 2019

IJEAT

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Some of the problems associated with the transportation of crude oils are due to the presence of heavy compounds as asphaltene molecules. This work developed a stochastic model that predicts the fractal dimension of the asphaltene aggregates. It was found that the maximum value of the fractal dimension is 1.71, which corresponds to the reported experimental results. The model can be applied as a universal growing behavior for the analysis of surface roughness when solids deposition is observed in the production systems involving crude oils

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Numerical Simulation of Mixing between Sequential Fluids in a Pipeline Considering Real Conditions

2022

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The mixing behavior of two sequential petroleum products resulting from convection and diffusion mechanisms was numerically modeled. To this end, the initial mixing that happens during the fluid change in the pipeline was considered. A numerical code was also developed, and two‐dimensional volume fraction variations of a 100‐m‐long, 16‐in‐diameter pipe were calculated. The model was validated by comparison with field data in a real pipeline. The results showed a significant difference in mixing length between the old and new conditions. When the actual conditions were used, the error in the results was reduced from 62 to 12 %. Overall, it was discovered that if available correlations are modified on the basis of the initial mixing, they can also produce good results in short pipelines.

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Liquid – Liquid horizontal pipe flow – A review

Cited by 33 publications

References 168 publications

Liquid-Liquid Flow Pattern Prediction Using Relevant Dimensionless Parameter Groups

Liquid-Liquid Flow Pattern Prediction Using Relevant Dimensionless Parameter Groups

A Stochastic Model for the Fractal Dimension Estimation of Asphaltenes Aggregation

Numerical Simulation of Mixing between Sequential Fluids in a Pipeline Considering Real Conditions

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