An Efficient Drift-Flux Closure Relationship to Estimate Liquid Holdups of Gas-Liquid Two-Phase Flow in Pipes

Choi, Jaehoon; Pereyra, Eduardo; Sarica, Cem; Park, Changhyup; Kang, Jungmin

doi:10.3390/en5125294

Cited by 98 publications

(65 citation statements)

References 18 publications

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“…Initially, these parameters are set as constant values, which are 1.2 for C 0 , and about 0.3583 for u D . To extend the Drift flux model to high viscosity liquid, the following relationship has been proposed by Choi et al (2012):…”

Section: Drift Flux Closure Relationship For Gas-liquid Flowmentioning

confidence: 99%

Development of a fast transient simulator for gas–liquid two-phase flow in pipes

Choi

Pereyra

Sarica

et al. 2013

Journal of Petroleum Science and Engineering

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Section: Drift Flux Closure Relationship For Gas-liquid Flowmentioning

confidence: 99%

Development of a fast transient simulator for gas–liquid two-phase flow in pipes

Choi

Pereyra

Sarica

et al. 2013

Journal of Petroleum Science and Engineering

Self Cite

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“…The experimental data is compared against the numerical solutions from the proposed solver employing the mixture viscosities defined in Eqs. and given by and and the drift ‐ flux parameters given by and and reproduced in Eqs. and respectively:

\begin{matrix} left \\ f o r F r < 3.5 : C_{0} = 1 and v_{d} = C_{\infty} \sqrt{(1 - \frac{ρ_{g}}{ρ_{l}}) g D}, where C_{\infty} = (0.542 - \frac{1.76}{{normalE normalo}^{0.56}}) \cos θ \\ f o r F r ⩾ 3.5 : C_{0} = 1.2 and v_{d} = 0 \end{matrix}

\begin{matrix} C_{0} = \frac{2}{1 + {((), {normalR normale}_{m} true/ 1000)}^{2}} + \frac{1.2 - 0.2 (\sqrt{ρ_{g} true/ ρ_{l}}) (1 - E X P (- 18 α))}{1 + {((), 1000 true/ {normalR normale}_{m})}^{2}} \\ and \\ v_{d} = C \cos (θ) + D {((), \frac{gσ Δ ρ}{ρ_{l}^{2}})}^{1 / 4} sin (θ) \end{matrix}

where C and D are 0.0246 and 1.606 as suggested by .…”

Section: Numerical Solutionsmentioning

confidence: 99%

Roe‐type Riemann solver for gas–liquid flows using drift‐flux model with an approximate form of the Jacobian matrix

Santim

Rosa

2015

Numerical Methods in Fluids

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This work presents an approximate Riemann solver to the transient isothermal drift-flux model. The set of equations constitutes a non-linear hyperbolic system of conservation laws in one space dimension. The elements of the Jacobian matrix A are expressed through exact analytical expressions. It is also proposed a simplified form of A considering the square of the gas to liquid sound velocity ratio much lower than one. This approximation aims to express the eigenvalues through simpler algebraic expressions. A numerical method based on the Gudunov's fluxes is proposed employing an upwind and a high order scheme. The Roe linearization is applied to the simplified form of A. The proposed solver is validated against three benchmark solutions and two experimental pipe flow data. Figure 4. Comparison of the numerical solution for the velocity with the reference presented in [17] for t = 0.8 s. (a) Upwind; (b) Lax Wendroff + van Leer limiter.

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“…where C o is the profile parameter (distribution coefficient) that describes the velocity effect and concentration profiles; u D is the drift-flux velocity, which represents the buoyancy effect and C o varies between 1.0 and 1.2 and is estimated by Choi et al (2012) in their proposed model as Choi et al (2012) also presented a modified model to calculate the drift velocity, including the inclination effect:…”

Section: Prediction Modelsmentioning

confidence: 99%

“…A flow pattern determination method was proposed for implementing the drift-flux model. Based on previous work, Choi et al (2012) developed a drift-flux closure relationship to estimate phase holdup in gas-liquid pipe flow. The correlation gave satisfactory prediction of phase holdup over a wide range of flow patterns and wellbore inclination conditions.…”

Section: Introductionmentioning

confidence: 99%

Two-phase flow models for thermal behavior interpretation in horizontal wellbores

Dong

Ayala

2015

J Petrol Explor Prod Technol

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The interpretation of Distributed Temperature Sensing (DTS) real-time temperature data from downhole is essential to understand wellbore production and production operations management. This paper presents a multi-phase wellbore thermal behavior prediction model for the interpretation of wellbore fluid thermal responses. Based on our previous simulation results on single-phase flow in horizontal wellbores, a two-phase flow model (g sdriven model) is developed for steady-state conditions in the form of homogeneous and drift-flux models applied to both openhole and perforated completion types. Case studies include the examination of water entry thermal effect and gas mixing thermal effect comparing between the two modeling approaches. Results show that the phenomena of water breakthrough and gas blended in oil can be detected from fluids temperature profiles.

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An Efficient Drift-Flux Closure Relationship to Estimate Liquid Holdups of Gas-Liquid Two-Phase Flow in Pipes

Cited by 98 publications

References 18 publications

Development of a fast transient simulator for gas–liquid two-phase flow in pipes

Development of a fast transient simulator for gas–liquid two-phase flow in pipes

Roe‐type Riemann solver for gas–liquid flows using drift‐flux model with an approximate form of the Jacobian matrix

Two-phase flow models for thermal behavior interpretation in horizontal wellbores

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