Assessment of well trajectory effect on slug flow parameters using CFD tools

Guerrero, E.T.; Pinilla, Andrés; Ratkovich, Nicolás Ríos

doi:10.1080/00986445.2019.1652604

Cited by 2 publications

(7 citation statements)

References 19 publications

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“…For the toe-down 1° configuration, the DSL decreases, for the 3°, it increases. Meanwhile for the 5° and the one undulation with a sump, the performance is quite similar to the one observed in Guerrero et al [33] even though the values are still relatively small. As it could be expected when the f s is observed, the values are inverse as the values of DSL , but in these cases the Newtonian data and the non-Newtonian data have more similar values.…”

Section: Effect Of Different Well Configurations With Non-newtonian Two-phase Flowsupporting

confidence: 84%

“…20, it can be seen the slug flow in the vertical section of the configurations studied. The liquid film thickness, in this case, increases 15% in comparison with the results of Guerrero et al [33] as it can be observed in Fig. 21.…”

Section: Slug Flow Visualization In the Toe-down Well Configurationssupporting

confidence: 80%

“…Instead the one undulation with a hump changes the flow direction from upward to downward. In Guerrero et al [33], they found that the DSL decreased when studying a configuration of one undulation with a hump or a sump, due to the shorter pipe length that does not gives the slug formation enough Fig. 15 Visualization of the flow pattern in case 3 with the phenomenon occurring on it, in a toe-down configuration with an inclination of 5° distance to stabilize.…”

Section: Effect Of Different Well Configurations With Non-newtonian Two-phase Flowmentioning

confidence: 96%

“…In this case, it is extrapolated to analyze the CFD results. The liquid holdup signals find the equivalent to the average slug length and frequency in a specific location of measurement [33]. The characterization starts by comparing each pair of signals.…”

Section: Slug Flow Characterizationmentioning

confidence: 99%

“…The operational conditions that are used can be seen in Table 4. These conditions were chosen so that they can be compared with the Newtonian data collected by Guerrero et al [33]. In this instance, each of the simulations ran for 600 s to achieve an average of 60 slugs per configuration.…”

Section: Effect Of Different Well Configurations With Non-newtonian Two-phase Flowmentioning

confidence: 99%

See 4 more Smart Citations

CFD simulation of two-phase gas/non-Newtonian shear-thinning fluid flow in pipes

Daza-Gómez

Pereyra

Ratkovich

2019

J Braz. Soc. Mech. Sci. Eng.

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The multiphase flow has always been a major concern since it is encountered in many industrial processes that are crucial. Gas/non-Newtonian two-phase flow is found in the upstream of the petroleum industry, where slug flow is the most common flow pattern. This flow pattern has complex hydrodynamics which is crucial to study and evaluate. This study assessed the two-phase gas/non-Newtonian fluid flow in different configurations of pipes. The model was developed using computational fluid dynamics with an orthogonal mesh to evaluate the behavior of the slug dynamics in the different configurations. The model volume of fluid was used to estimate and predict the most important parameters: pressure drop, slug frequency, and length. First, the model was validated with experimental data found in literature in a horizontal 9-m long glass pipe, with an inner diameter of 22.8 mm. The validation was made with carboxymethyl cellulose CMC-water solutions as test fluids. Two concentrations (w/w) of CMC were used: 1% and 6%. The overall average relative error of the model, taking into account the three parameters, was 24.9%. With this result, it was proceeded to evaluate the model and the effect in the slug flow in three different pipe trajectories: toe-down well, one undulation with a hump well and one undulation with a sump well. The comparison was made between results of a gas/Newtonian fluid flow and the gas/non-Newtonian fluid flow. It was found that the slug frequency and length vary in great form. The slug frequency increased in almost all the cases, and the slug length decreased.

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Section: Effect Of Different Well Configurations With Non-newtonian Two-phase Flowsupporting

confidence: 84%

Section: Slug Flow Visualization In the Toe-down Well Configurationssupporting

confidence: 80%

Section: Effect Of Different Well Configurations With Non-newtonian Two-phase Flowmentioning

confidence: 96%

Section: Slug Flow Characterizationmentioning

confidence: 99%

Section: Effect Of Different Well Configurations With Non-newtonian Two-phase Flowmentioning

confidence: 99%

See 3 more Smart Citations

CFD simulation of two-phase gas/non-Newtonian shear-thinning fluid flow in pipes

Daza-Gómez

Pereyra

Ratkovich

2019

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

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Proper Orthogonal Decomposition Based on Vorticity: Application in a Two-Phase Slug Flow

Munir

Siddiqui

Rashid

et al. 2022

Journal of Fluids Engineering

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Large-scale turbulent flow features in liquid (water) and gas (air) phases in the film region of two-phase slug flow were identified by using proper orthogonal decomposition (POD) of the vorticity fields. Linear combination of POD vorticity modes is used for the qualitative visualization of coherent structures. The vorticity fields are computed from the instantaneous two-dimensional velocity fields measured using a combined particle image velocimetry and laser-induced fluorescence technique (PIV-LIF). Vorticity modes are calculated and compared with the curl of POD velocity mode. For the gas phase, most vortical structures appeared in pairs with positive and negative rotations and POD analysis for the liquid phase identified a group of dominant vortical structures near the lower wall. It is also observed that the gas phase revealed more eddies than the liquid phase. The proportion of enstrophy is higher in the gas phase as first POD vorticity mode contained 7.5% of the total enstrophy, while for the liquid phase, the first mode captured 6.8%. The linear combination of vorticity modes provided effective qualitative information of the coherent structures in both phases. In the gas phase, the identified structures are present near the upper wall and in the middle of the flow, while in the liquid phase, dominant flow patterns appeared near the lower wall. It is therefore beyond doubt that POD based on vorticity can reveal hidden flow features of both phases of slug flow which eventually provides in-depth description of this complex flow phenomenon.

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Assessment of well trajectory effect on slug flow parameters using CFD tools

Cited by 2 publications

References 19 publications

CFD simulation of two-phase gas/non-Newtonian shear-thinning fluid flow in pipes

CFD simulation of two-phase gas/non-Newtonian shear-thinning fluid flow in pipes

Proper Orthogonal Decomposition Based on Vorticity: Application in a Two-Phase Slug Flow

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