Gas holdup and bubble flow transition characteristics in column flotation process determined by capacitive signals measurement

Harjanto, Sri; Haryono, Didied; Nugraha, Harisma; Saputra, Ginanjar; Baidillah, Marlin Ramadhan; Huda, Mahfudz Al; Taruno, Warsito P.

doi:10.1007/s43153-021-00104-7

Cited by 5 publications

(3 citation statements)

References 38 publications

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“…In addition, other dispersion characteristics, such as d b and J g were also discussed. This paper is a continuation of a previous study about flow characterization in two-and three-phase systems using a capacitive-based measurement that has been published in which the results showed that a capacitive-based measurement is a promising tool that can be used in the flotation process [14].…”

Section: Introductionmentioning

confidence: 74%

Measurement of gas holdup characteristics in two-phase column flotation by electrical capacitance volume tomography

Nugraha,

Haryono,

Harjanto

et al. 2023

Phys. Scr.

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Electrical capacitance volume tomography measured the gas holdup in two-phase column flotation. The purpose was to characterize gas holdup and understand its relation to flow patterns as a function of the types and doses of frothers. Experiments were conducted using laboratory-scale column flotation cells with dimensions of 5 ×125 cm. The superficial gas velocities in the experiment were 0.5–4 cm/s with an interval of 0.5 cm/s. Methyl isobutyl carbinol (MIBC) and Oreprep F-583-OZ (Oreprep) were used as frothers at 5–40 ppm doses. The results showed that the difference between the lowest and highest gas holdup in the bubbly flow regime was ~0.07, and the transition from the bubbly to churn-turbulent flow occurred at a superficial gas velocity of 2 cm/s.

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Section: Introductionmentioning

confidence: 74%

Measurement of gas holdup characteristics in two-phase column flotation by electrical capacitance volume tomography

Nugraha,

Haryono,

Harjanto

et al. 2023

Phys. Scr.

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“…Experimental measurement is the principal means to study the gas holdup, and it is also an essential means to research the three-phase flow of oilgas-water. A variety of methods for measuring gas holdup have been developed at home and abroad, such as the fast closing valve method, conductivity probe method, capacitance method [3], ray method, ultrasonic method [4], highspeed photography, etc. Still, each of these methods has its limitations and particular pertinence.…”

Section: Introductionmentioning

confidence: 99%

Study on Optical Fiber Gas-Holdup Meter Signal Denoising Using Improved Threshold Wavelet Transform

Chen

2023

IEEE Access

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The optical fiber probe gas-holdup meter is a new logging tool, which can be used to measure the gas-holdup of oil-gas-water three-phase flow during production logging. In this paper, the wavelet transform is used to denoise the measured gas-holdup signal of the optical fiber probe. For the wavelet transform threshold de-noising method, the existing hard and soft threshold functions have certain defects. So we propose a wavelet transform denoising method with an improved threshold function, and use this method to denoise the measured gas-holdup signal of the optical fiber probe. The signal-to-noise ratio, root mean square error, smoothness, and correlation coefficient are used as the evaluation indexes of signal denoising effect. The improved threshold function is between the hard threshold function and the soft threshold function. It has the advantages of both hard and soft threshold functions, can effectively overcome the discontinuity of the hard threshold function and the constant deviation of the soft threshold function, and improves the denoising efficiency of the gas-holdup signal. The proposed method is applied to the synthetic data and the real gas-holdup signal of the optical fiber probe respectively. Compared with the traditional soft and hard threshold functions, the experiment results show that the improved threshold wavelet denoising method is feasible. And it is effective in the gas-holdup signal denoising, improving the signal-to-noise ratio, reducing root mean square error, and increasing the correlation coefficient. The proposed method preserves well the original features of the measured gas-holdup signal, which provides a reference for the signal processing and dynamic monitoring analysis of the subsequent oil-well downhole development.INDEX TERMS Improved threshold function, wavelet threshold, optical fiber gas-holdup meter, denoising, gas-holdup.

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“…The electrical method has high accuracy in detecting gas holdup, but it also has high requirements of detection media. Specifically, electrical capacitance tomography can only detect nonconductor fluid [9,10], electrical impedance tomography can only detect conductor fluid [11,12], and electrical magnetism tomography can only detect magnetic fluid [13]. Generally, electrical detection needs to integrate multiple methods, which increases the detection complexity.…”

Section: Introductionmentioning

confidence: 99%

Direct estimation of gas holdup in gas–liquid bubble column reactors using ultrasonic transmission tomography and artificial neural processing

Li¹,

Hu²,

Wang³

et al. 2022

Meas. Sci. Technol.

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Ultrasonic transmission tomography is an effective non-intrusive method for detecting gas–liquid two-phase flow patterns. A specific interest is the many processes whose reaction utilizes a bubble column, where the fast estimation of cross-sectional gas-holdup ratio is important for monitoring and control. In this study reference indirect image-based estimates were obtained from reconstructed tomographic data. Direct (non-image) estimation of the gas holdup ratio was also obtained using trained neural processing networks. Two forms were trialled: a generalized regression neural network; and a long short-term memory network. Comparison trials were carried out for single-bubble, dual-bubble, circulation and laminar flows. Relative cross-sectional gas holdup error was selected for evaluation. For the image-based indirect trials the Tikhonov regularization algorithm had the lowest error range: 2.15%–15.64%. For direct methods the long short-term memory network had the lowest error range: 0.41%–9.63%, giving better performance than the image-based methods. The experimental data were used to verify the effectiveness of the network. The root-mean-square error of the test metrics for generalized regression neural network and long short-term memory network were 6.4260 and 5.4282, respectively, indicating that long short-term memory network has higher performance in processing the data in this paper.

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Gas holdup and bubble flow transition characteristics in column flotation process determined by capacitive signals measurement

Cited by 5 publications

References 38 publications

Measurement of gas holdup characteristics in two-phase column flotation by electrical capacitance volume tomography

Measurement of gas holdup characteristics in two-phase column flotation by electrical capacitance volume tomography

Study on Optical Fiber Gas-Holdup Meter Signal Denoising Using Improved Threshold Wavelet Transform

Direct estimation of gas holdup in gas–liquid bubble column reactors using ultrasonic transmission tomography and artificial neural processing

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