Identification of Oil-Gas-Water Three-phase Flow Patterns in Vertical Upward Pipe Based on Multi-scale Entropy

Wang, Zhenya; Jin, Ningde; Zong, Yanbing; Guibo, Zheng; Wang, Tao

doi:10.1109/fskd.2009.249

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…In the condition of water as continuous phase, when the mixture flows through the conductance sensor, the insulating oil bubbles cause the changes of electric field inside the electric conductance sensor [24]. As the oil bubble can be in any position inside the sensor, through modeling three-dimensional conductance sensor, we get electric-field distribution inside the conductance sensor which contains inhomogeneous media.…”

Section: Gas-liquid Velocity Measurement Of Thementioning

confidence: 99%

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Gao

Liu

et al. 2014

Mathematical Problems in Engineering

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Flow velocity measurement was an important research of oil-gas-water three-phase flow parameter measurements. In order to satisfy the increasing demands for flow detection technology, the paper presented a gas-liquid phase flow velocity measurement method which was based on energy demodulation algorithm combing with time delay estimation technology. First, a gas-liquid phase separation method of oil-gas-water three-phase flow based on energy demodulation algorithm and blind signal separation technology was proposed. The separation of oil-gas-water three-phase signals which were sampled by conductance sensor performed well, so the gas-phase signal and the liquid-phase signal were obtained. Second, we used the time delay estimation technology to get the delay time of gas-phase signals and liquid-phase signals, respectively, and the gas-phase velocity and the liquid-phase velocity were derived. At last, the experiment was performed at oil-gas-water three-phase flow loop, and the results indicated that the measurement errors met the need of velocity measurement. So it provided a feasible method for gas-liquid phase velocity measurement of the oil-gas-water three-phase flow.

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Section: Gas-liquid Velocity Measurement Of Thementioning

confidence: 99%

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Gao

Liu

et al. 2014

Mathematical Problems in Engineering

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“…New methods have been introduced to analyze and detect anomalous events such as epileptic seizure, coronary artery disease, and Alzheimer's disease from biomedical signals using different entropy types [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. The application of the entropy approach in mechanical engineering is given in [40][41][42][43][44][45]. The application of entropy in the power systems was started because the system under investigation will have different entropy values under different states.…”

Section: Introductionmentioning

confidence: 99%

Wavelet entropy and its application for flicker contribution evaluation

Silsüpür

Türkay

2018

IEEJ Transactions Elec Engng

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As a result of the integration of various new load types and generation units into electric power systems, power quality disturbances such as sag–swell, harmonics, inter‐harmonics, and flicker have come into focus in the last decades. Among these disturbances, flicker is one of the serious power quality issues for both power system operators and users. In addition to having direct effects on human life such as the discomfort caused by visual disturbance, flicker may cause incorrect operations of electrical devices. Furthermore, finding a dominant flicker source in order to mitigate it and supply high‐quality power to users are the main tasks of network operators. The measurement of the flicker level is defined in the IEC 61000‐4‐15 standard as measured by a flicker meter; however, it deals only with voltage signals and is not sufficient to understand the contribution of the load and background power systems separately. Therefore, this paper proposes new approaches to the evaluation of flicker characteristics using simulated and real signals. The novelty of this paper is that it investigates the flicker characteristics in the light of multi‐resolution wavelet analysis and information‐theory‐based wavelet energy entropy analysis together and proposes a new index to interpret flickers' responsibility in load and flicker source detection. The proposed method uses only voltage and current signals and does not require additional calculation of any network parameter such as the system impedance. The proposed method is validated by simulations as well as site measurements, and the results show the accuracy and suitability of the proposed method. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Separate Measuring the Liquid and Gas Delivery of Oil Wells with a Single Flowmeter

Fedorov

Krasnov

Prakhova

2021

2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

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Identification of Oil-Gas-Water Three-phase Flow Patterns in Vertical Upward Pipe Based on Multi-scale Entropy

Cited by 3 publications

References 10 publications

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Wavelet entropy and its application for flicker contribution evaluation

Separate Measuring the Liquid and Gas Delivery of Oil Wells with a Single Flowmeter

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