Examination of swirling flow using electrical resistance tomography

Stevenson, Ryan; Harrison, Susan T.L.; Miles, N.J.; Cilliers, J.J.

doi:10.1016/j.powtec.2005.11.008

Cited by 27 publications

(15 citation statements)

References 15 publications

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“…When data from the two measurement techniques are plotted against one another on the same graph, a linear correlation can be observed, as is shown in Figure 7(c). These results validate the assumptions underpinning equation (14). These results are proof that variation in the conductivity measured by ERT can be correlated with the intensity of the turbulence of the fluid.…”

Section: Results Of Validation Of the Ertsupporting

confidence: 81%

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Measuring turbulence in a flotation cell using electrical resistance tomography

Meng

Xie

Runge

et al. 2015

Meas. Sci. Technol.

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Measuring turbulence in an industrial flotation environment has long been problematic due to the opaque, aggressive and abrasive three-phase environment in a flotation cell. One of the promising measurement techniques is Electrical Resistance Tomography (ERT). By measuring the conductivity distribution across a measurement area, ERT has been adopted by many researchers to monitor and investigate many processes involving multiphase flows. In the research outlined in this paper, a compact ERT probe was built and then used to measure the conductivity distribution within a 60L flotation cell operated with water and air. Two approaches were then developed to process the ERT data and estimate turbulence related parameters. One is a conductivity variance method and the other is based on the Green-Kubo relations. Both rely and use the fluctuation in the ERT measurement caused by bubbles moving through the measurement area, changing the density of the fluid. Results from both approaches were validated by comparing results produced by the ERT probe in a 60 litre flotation cell operated at different air rates and impeller speeds to that measured using an alternative turbulence measurement device. The second approach is considered superior to the first as the first requires the development of auxiliary information which would not usually be known for a new system.

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Section: Results Of Validation Of the Ertsupporting

confidence: 81%

“…(11), (12) and (14). To enable comparison, piezoelectric sensor readings were collected at these same positions whilst the cell was operated at the same set of operating conditions.…”

Section: Methods Based On the Green-kubo Relationsmentioning

confidence: 99%

Measuring turbulence in a flotation cell using electrical resistance tomography

Meng

Xie

Runge

et al. 2015

Meas. Sci. Technol.

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“…The two side views in Figure 16.10(c) are reconstructed by the two electrode planes, the time delay of the same solid volumes can be clearly observed, and the velocity of the solid volumes can be calculated with the cross-correlation method discussed in the previous section. A similar work of examining the swirling slurry flow with a four-plane ERT has been done by Stevenson (Stevenson, Harrison, Miles, & Cilliers, 2006): a 3D tomogram is constructed from the four tomograms by interpolation and by choosing a threshold conductivity that defined the bulkeparticle/bulkefluid interface. The reconstructed 3D tomograms of different orientations are shown in Figure 16.11, where the slurry flows upward vertically.…”

Section: Flow Process Analysis and Characterizationmentioning

confidence: 99%

Applications of tomography in mineral transportation

Tan

Dong

2015

Industrial Tomography

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“…For decades, flow imaging well logging techniques, as a nonlinear measuring method, have made rapid progress with the development of measurement science and computer technique. It can provide the 2-D or 3-D information of the fluids distribution which could be used to determine the flow regime, phase velocity and phase concentration distribution production profile and dynamic analysis of oil reservoir [1] .The developments of flow measurement on the ground are the base of the tomography well logging [2][3][4][5][6][7][8][9][10][11] , while there are great differences between them. The former usually operates on the outside of the pipeline, where the size of the sensor has no limit.…”

mentioning

confidence: 99%

“…The developments of flow measurement on the ground are the base of the tomography well logging [2][3][4][5][6][7][8][9][10][11] , while there are great differences between them. The former usually operates on the outside of the pipeline, where the size of the sensor has no limit.…”

mentioning

confidence: 99%

Flow imaging method of electromagnetic measurement in well logging

Wang

Zhao

et al. 2008

Sci. China Ser. D-Earth Sci.

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Multiphase flow in an oil well is a dynamic phenomenon of inhomogeneous medium, which should be studied in a nonlinear way. This paper presents an electromagnetic measurement method based on the electrical property differences between oil, gas and water to scan, inverse and show the distribution and condition of multiphase flow. Both numerical simulation and physical experiments have proved that clear images could be obtained by this way.well, multiphase flow, electromagnetic wave, flow imaging Multiphase flow in an oil well is a dynamic phenomenon of inhomogeneous medium, which should be studied in a nonlinear way. Conventional flow measuring techniques are linear methods averaging the local values. These cannot give accurate descriptions of the fluid distribution and movement in the well. For decades, flow imaging well logging techniques, as a nonlinear measuring method, have made rapid progress with the development of measurement science and computer technique. It can provide the 2-D or 3-D information of the fluids distribution which could be used to determine the flow regime, phase velocity and phase concentration distribution production profile and dynamic analysis of oil reservoir [1] .The developments of flow measurement on the ground are the base of the tomography well logging [2][3][4][5][6][7][8][9][10][11] , while there are great differences between them. The former usually operates on the outside of the pipeline, where the size of the sensor has no limit. Moreover, the temperature and the pressure are ordinary. However, working condition of the latter is in the iron and steel cable under thousands of meters, where the space is small with high temperature and pressure. Therefore, multiphase flow imaging and measuring in an oil well is harder. Some initial technologies have been just developed until now both at home and abroad [13][14][15][16][17] . The DEFT (digital entry and fluid imager tool) of Schlumberger Company has eight probes placed on the centralizer radially around the wellbore, each probe makes a digital measurement to distinguish oil, gas and water according to the electro conductivity. The FPT (flow profiling tool) of Computalog Company has the similar principium. The MCFM (multi-capacitance flow meter) of Baker Atlas Company deploys a wing containing 28 capacitance sensors that span the wellbore to determine both flow composition and holdup. The CAT (capacitance array tool) has an array of 12 capacitance sensors to distinguish oil, gas and water according to the dielectric constants. It is clear that the present tools just measure the local fluid without the whole image because of the limited amount of measuring data and resolution [18] . In this paper, we report how to obtain the section of the multiphase flow distribution according to the electrical property differences between oil, gas and water by scanning.

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Examination of swirling flow using electrical resistance tomography

Cited by 27 publications

References 15 publications

Measuring turbulence in a flotation cell using electrical resistance tomography

Measuring turbulence in a flotation cell using electrical resistance tomography

Applications of tomography in mineral transportation

Flow imaging method of electromagnetic measurement in well logging

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