Validation of a novel algorithm for the adaptive calculation of transient stratified flow of gas, oil and water in pipelines

Hanich, L.; Thompson, Chris

doi:10.1002/nme.177.abs

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…We suggested that the velocity distribution of the flow could be extracted by monitoring the movement of the brightness pattern in the image sequence of the pipe flow. Only with the equation (1), however, we can't work out the movement simply because there are two unknowns with the equation. According to the nature of the general fluid flow, we suggested that each element of the flow should travel in the similar direction of its neighboring elements and therefore the directional smoothness constraint [13].…”

Section: From Optical Flow To Liquid Flowmentioning

confidence: 99%

“…Multiphase pipeline flow is not only very important to oil, gas and process industry but also very complex and scientifically challenging. In the context of the flow in pipeline, the multiphase flows of interest are simulated using one-dimensional transient mathematical models [1] [2][3]. This is a class of problems where comprehensive simulations, although desirable on physical grounds, are not practical due to the large aspect ratio between the pipes length and diameter.…”

Section: Introductionmentioning

confidence: 99%

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Vision-based experimental investigation of two-phase flow in a rising pipe

Yeung

2003

SPIE Proceedings

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Multiphase pipeline flow is very important to oil, gas and process industry. This is a class of problems where comprehensive simulations, although desirable on physical grounds, are not practical due to the large aspect ratio between the pipe length and diameter. In order to enhance the understanding of the pipeline flow, as well as to validate and identify the critical aspects ofthese models, intensive experimental data are needed. This will defme how these models can be improved. In this paper, we report our recent work in this aspect. A transparent pipeline, consisting of horizontal and rising sections, was established for conducting the experiments. The purpose of the experiments was to investigate the transition between the basic flow patterns. The flow states were recorded into image sequences using digital camera. Since the required viewing area was much larger than that the required magnification could be satisfied, Image sequence analysis algorithms were developed based on optical flow detection theory to overcome this issue. Apart from the algorithm and experimental results, we also report our further planed research.

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Section: From Optical Flow To Liquid Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vision-based experimental investigation of two-phase flow in a rising pipe

Yeung

2003

SPIE Proceedings

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“…An alternative treatment can be applied for a stratified flow with gas at top, oil at the middle and water at bottom. This can be done for immiscible liquids (Taitel et al, 1995;Hanich,Thompson, 2001;Zhang, Sarica, 2005;Ghorai et al, 2005;Neogi et al, 1994). For example, Taitel et al (1995) developed a one dimensional model based on mass and momentum balances to calculate gas, oil, and water hold-ups, pressure and velocities.…”

Section: Introductionmentioning

confidence: 97%

Simulation of Intermittent Gas-Bubbly Oil Three Phase Flow in Upward Vertical Pipe Using the Two-Fluid Model

2012

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In the petroleum industry the heavy oil-gas-water three phase flow is present in both, on-shore and offshore pipelines. The adequate predictions of three-phase flow characteristics, such as flow patterns, pressure drop and holdup, can have significant impact on the proper design and operation of pipelines and on many flow assurance issues. To achieve this, experimental work and a rigorous modeling of three-phase flow must be carried out.When water, heavy oil and gas flow simultaneously through experimental vertical pipes, in such a way that water is the continuous phase, the Intermittent gas-Bubbly oil (Ig-Bo) flow pattern may appear. In this work a one-dimensional, thermal, transient, two-fluid, mathematical model for Ig-Bo flow is presented. The model was developed under the hypothesis that the Ig-Bo flow pattern can be approached by two different flow patterns, each one in neighboring regions: heavy oil-water bubbly flow in an annular region and heavy oil-gas-water bubbly flow in a slug region. The model consists of mass, momentum and energy conservation equations for every phase whose numerical solution is based on the finite difference technique in implicit scheme. The model is able to predict pressure, temperature, volumetric fraction and velocity profiles for each phase. The ratio between the liquid-slug length and the slug-unit length ( 2 Λ ), commonly used in two-phase flow, was modified to take into account the presence of heavy oil. It was observed that ( 2 Λ ) is larger than the two-phase flow and the correlation allow having the best predictions. The predictions are in agreement with experimental data reported in literature.

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“…Babakhani 2017 The most common flow pattern for oil-water-gas flows is slug flow, where a series of liquid slugs is separated by relatively large gas pockets. Up to our knowledge, there are few theoretical studies to characterize flow behavior of oil-water-gas flows, which is mostly related to stratified flow regime (see Taitel et al, 1995, Khor et al, 1997, Hanich and Thompson, 2001. Taitel et al (1995) presented a theoretical approach for three layer stratified flow of liquid-liquid-gas to compute liquid and gas holdup.…”

Section: Introductionmentioning

confidence: 99%