Application of electrical resistance tomography system to monitor gas/liquid two-phase flow in a horizontal pipe

Ma, Yunlong; Zheng, Zhi-chu; Xu, Ling-An; Liu, Xiaoping; Wu, Yue

doi:10.1016/s0955-5986(01)00026-7

Cited by 59 publications

(35 citation statements)

References 6 publications

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“…But in horizontal flows, due to gravitational forces, this will not happen. This reason has restricted the use of ERT for vertical flows and hence ERT with horizontal flow measurements can hardly be seen in most of the literature (Ma et al 2001). Novel approach on level measurements in horizontal flows without going into tomograms have been tested and discussed by (Ma et al 2001).…”

Section: Previous Workmentioning

confidence: 99%

“…This reason has restricted the use of ERT for vertical flows and hence ERT with horizontal flow measurements can hardly be seen in most of the literature (Ma et al 2001). Novel approach on level measurements in horizontal flows without going into tomograms have been tested and discussed by (Ma et al 2001). Horizontal flows and slug parameter estimations presented in attached Paper 4 and this thesis also discuss the possibilities of using ERT.…”

Section: Previous Workmentioning

confidence: 99%

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Co-operative sensor fusion using time warping in multimodal tomometry for process control

Pradeep

Ren

Mylvaganam

2012

2012 IEEE Conference on Control, Systems &Amp; Industrial Informatics

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Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Co-operative sensor fusion using time warping in multimodal tomometry for process control

Pradeep

Ren

Mylvaganam

2012

2012 IEEE Conference on Control, Systems &Amp; Industrial Informatics

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“…Furthermore, it is assumed that the rate of chance of the input concentration is constant during the time step t, i.e. c (1) in,t = c (2) in,t = . .…”

Section: Appendix Amentioning

confidence: 99%

“…Furthermore, concentration distributioñ c (2) t is obtained asc (2) t = c (1) t + c (1) in,t + c (2) in,t (A20)…”

Section: Appendix Amentioning

confidence: 99%

State estimation in process tomography—Three‐dimensional impedance imaging of moving fluids

Seppänen

Vauhkonen

et al. 2007

Numerical Meth Engineering

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SUMMARYIn this paper, we consider three-dimensional impedance imaging of rapidly varying objects. We especially concentrate on the case where the target is a moving fluid and the objective is to track the concentration distribution of a substance dissolved in the fluid. The observations are made as in ordinary electrical impedance tomography (EIT), but in the reconstruction we employ the convection-diffusion model to yield information on the temporal behavior of the object. The observation model of EIT together with the evolution model constitute the state-space representation of the system, and the reconstruction problem of EIT can be described as a state estimation problem. The state estimation problem is solved using the Kalman filter and the fixed-interval smoother algorithms. The performance of the state estimation approach is evaluated in a simulation study.

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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%

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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Application of electrical resistance tomography system to monitor gas/liquid two-phase flow in a horizontal pipe

Cited by 59 publications

References 6 publications

Co-operative sensor fusion using time warping in multimodal tomometry for process control

Co-operative sensor fusion using time warping in multimodal tomometry for process control

State estimation in process tomography—Three‐dimensional impedance imaging of moving fluids

Flow imaging method of electromagnetic measurement in well logging

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