Time-frequency analysis of intermittent two-phase flows in horizontal piping

Klein, Franziska; Seleghim, Paulo; Hervieu, Éric

doi:10.1590/s1678-58782004000200009

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…Monitoring of this kind, however, requires premature shutdown of the pump, potentially reducing well productivity. Other strategies that have been developed involve characterizing the flow by analyzing signals from measuring instruments installed in the pipeline [4] and studying the fluid frequency response by measuring the vibration of the pump [5,6]. However, these methods can suffer from drawbacks depending on where and how the instrumentation is installed in the pipeline.…”

Section: Introductionmentioning

confidence: 99%

Multiphase gas-flow model of an electrical submersible pump

Ricardo

Jiménez

Ferreira

et al. 2018

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Various artificial lifting systems are used in the oil and gas industry. An example is the Electrical Submersible Pump (ESP). When the gas flow is high, ESPs usually fail prematurely because of a lack of information about the two-phase flow during pumping operations. Here, we develop models to estimate the gas flow in a two-phase mixture being pumped through an ESP. Using these models and experimental system response data, the pump operating point can be controlled. The models are based on nonparametric identification using a support vector machine learning algorithm. The learning machine’s hidden parameters are determined with a genetic algorithm. The results obtained with each model are validated and compared in terms of estimation error. The models are able to successfully identify the gas flow in the liquid-gas mixture transported by an ESP.

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Section: Introductionmentioning

confidence: 99%

Multiphase gas-flow model of an electrical submersible pump

Ricardo

Jiménez

Ferreira

et al. 2018

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…Later, the use of timefrequency analysis in the intermittent regime to prove the existence of sub-regimes was done by Klein et al [17]. In these cases, an inductive sensor was used on air-water flows and in both cases, the method proved successful in identifying flow regimes.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic flow pattern-based heat transfer correlation for condensing intermittent flow of refrigerants in smooth horizontal tubes

Rooyen

Christians

Liebenberg

et al. 2010

International Journal of Heat and Mass Transfer

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a b s t r a c tThis paper presents a signal analysis method used for condensing refrigerants that results in a modification in the prediction method for heat transfer based on probabilistic time-fractional results. Development of an objective visual method for discrimination of flow patterns and determining probabilistic time-fractions in intermittent flow is presented. The frequency domain was identified as the main candidate for discrimination of sub-regimes present in intermittent flow. Experimental work was conducted using refrigerants R-22 and R-134a, at an average saturation temperature of 40 C, with mass fluxes ranging from 200 to 700 kg=m 2 s, and with test section inlet vapour qualities ranging from 0.65 down to 0.10.These test conditions mostly represent intermittent flow. The new time fraction-corrected flow regimebased heat transfer correlation is heavily based on the [36] correlation. The modified correlation predicted the experimental data with a mean absolute deviation of 10%.

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“…Para a constituição de conjuntos representativos de cada um dos padrões de escoamento, estabelecidos visualmente, foram geradas várias combinações de velocidades superficiais de ar e água, os pares (U GS , U LS ), de forma a abranger as possíveis existências de sub-padrões desconhecidos. Ocorrências deste tipo são comuns no padrão de escoamento intermitente, conforme descrito por Klein et al (2004).…”

Section: Testes Experimentaisunclassified

Identificação de padrões de escoamento horizontal bifásico gás-líquido através de distribuição tempo-freqüência e redes neurais

Selli¹

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RESUMO-Um estudo teórico-experimental é apresentado, onde escoamentos monofásicos de água, e bifásicos de ar-água são conduzidos num duto anular de 10,5 m de comprimento, com diâmetro externo de 155 mm e interno de 60 mm. O duto foi inclinado em 2º em relação à horizontal para os escoamentos monofásicos, e em 5º para os bifásicos. A técnica PIV (Particle Image Velocimetry) foi empregada para a obtenção de perfis de velocidade da fase aquosa, bem como estatísticas de turbulência, como: flutuações de velocidade e tensões de Reynolds. Uma comparação com o modelo analítico para o escoamento laminar (Re = 742) foi realizada, a fim de validar as medições da bancada experimental; para os turbulentos (Re = 7106 a Re = 20431) não há modelos analíticos. Resultados preliminares para os escoamentos bifásicos são expostos (j w = 0,153 m/s e j a = 0,039 m/s) e os efeitos que a passagem da bolha de ar ocasiona no perfil de velocidades da água são mostrados.

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Time-frequency analysis of intermittent two-phase flows in horizontal piping

Abstract: One of the main features associated to multiphase flows is the existence of characteristic

Cited by 12 publications

References 15 publications

Multiphase gas-flow model of an electrical submersible pump

Multiphase gas-flow model of an electrical submersible pump

Probabilistic flow pattern-based heat transfer correlation for condensing intermittent flow of refrigerants in smooth horizontal tubes

Identificação de padrões de escoamento horizontal bifásico gás-líquido através de distribuição tempo-freqüência e redes neurais

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