Evaluation of EIT systems and algorithms for handling full void fraction range in two-phase flow measurement

Jia, Jiabin; Wang, Mi; Faraj, Yousef

doi:10.1088/0957-0233/26/1/015305

Cited by 32 publications

(20 citation statements)

References 16 publications

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“…computer is used to collect and store the data from the DAS system. After obtaining the voltage measurements from DAS system, the host computer processes the data by using modified sensitivity back projection image reconstruction algorithm [48]. The forward and inverse problems are used to analyze the reconstruction of conductivity distribution.…”

Section: Electrical Resistance Tomographymentioning

confidence: 99%

Hydrodynamic study of two phase flow of column flotation using electrical resistance tomography and pressure probe techniques

Vadlakonda

Mangadoddy

2017

Separation and Purification Technology

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Section: Electrical Resistance Tomographymentioning

confidence: 99%

Hydrodynamic study of two phase flow of column flotation using electrical resistance tomography and pressure probe techniques

Vadlakonda

Mangadoddy

2017

Separation and Purification Technology

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“…The gas concentration set from WMS can be derived by [30] = 1 (19) where, is the local gas concentration (i.e. void fraction) at each crossing-point.…”

Section: Visualisation Of Large Bubble In Gas-water Flowmentioning

confidence: 99%

Imaging of a distinctive large bubble in gas–water flow based on a size projection algorithm

Wang

et al. 2019

Meas. Sci. Technol.

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Imaging of a distinctive large bubble in gas-water flow based on size projection algorithm. Measurement Science and Technology, 30 (9). 094004. AbstractAlthough electrical resistance tomography has been successfully applied to visualise gas-water two-phase flow in many applications, its capability on determination of the sharp interfaces between gas bubble and water is still under the engineering expectation, which impedes effective estimating of fluid characteristics and flow regimes. Thresholding value method applied to tomogram was demonstrated a splendid view to most flow regimes, especially a large bubble but may present a challenge on its correctness in practice since the thresholding value was determined empirically. In this paper, a size projection algorithm is proposed for imaging a large bubble with distinctive boundary, where the optimal thresholding value is automatically determined by minimising the projection error between measured voltages and computed voltages via a forward numerical solution, which specifically focuses on imaging of large bubble. The accuracy of imaging large bubble is evaluated by simulating the typical crosssectional configurations of common pipeline flow regimes. Experimental results are reported in the paper, which were conducted on both horizontal and vertical pipelines engaged with typical gas-water flow regimes, including stratified, plug, slug and annular flow regimes. The results are also compared with the images obtained from wire-mesh sensor system and highspeed camera videos recorded through a transparent photo-chamber lined in the test rig.

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“…The recent research work found that based on the nonlinear approximation, the modified sensitivity backprojection (MSBP) method as expressed in Equation (3) (Wang, et al 1996, Wang 2002) is a more accurate approximation than the traditional linear back-projection method (Kotre, 1992) to obtain the k th conductivity ratio σ k /σ 1 (Jia, et al, 2015).…”

Section: Sensitivity Matrixmentioning

confidence: 99%

“…The Maxwell relationship (Maxwell 1873) formulated in Equation (4) with the zero conductivity of particles is mostly used to correlate the k th local gas volume fraction c k over pixel a k in gas-liquid flow from the corresponding local conductivity  k with the assumption of gas volumetric distribution in an element to be homogeneous. In addition, the applicability of Maxwell relationship to high volume fraction were reported (Holder et al 1998;Sharifi and Young, 2013;Jia et al, 2015) 1 1…”

Section: Correlation Between Conductivity and Volume Fractionmentioning

confidence: 99%

Imaging of gas–liquid annular flows for underbalanced drilling using electrical resistance tomography

Jia

Faraj

et al. 2015

Flow Measurement and Instrumentation

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Imaging of gas-liquid annular Flows for Underbalanced drilling using electrical resistance tomography, Flow Measurement and Instrumentation, http://dx. AbstractThe underbalanced drilling technique, which is also known as managed-pressure drilling, is playing an important role in oil and gas sector, as it reduces common conventional drilling problems such as minimal drilling rates and formation damage, differential sticking and lost circulation. Flow regime monitoring is one of the key topics in annular multiphase flow research, particularly for underbalanced drilling technique. Prediction of the prevailing flow regime in an annulus is of particular importance in the design and installation of underbalanced drilling facilities. Especially, for establishing a suitable pressure-drop model based on the characteristics of the active flow regime. The methods of flow regime prediction (or visualisation) in an annulus that are currently in use are very limited, this is evidently due to poor accuracy or they are simply not applicable to underbalanced drilling operation in practice. Therefore, this paper presents a monitoring method, in which Electrical Resistance Tomography (ERT) is used to rapidly image the prevailing flow regime in an annulus with a metallic inner pipe. Experiments were carried out using an air-water flow loop with a test section 50 mm diameter flow pipe. The two-phase air-water flow regimes are visualised in the upward vertical annulus with a radius ratio (r/R) 0.4. This paper highlights the visualisation results of only three flow regimes, namely bubble flow, transitional bubbleslug flow and slug flow. The flow regimes are visualised through axial images stacked from 50 mm diameterpixels of 2D tomograms reconstructed with the Conjugate Gradient Method (SCG). Gas volume fraction profiles within the annular flow channel are also illustrated. The profiles are extracted using the Modified Sensitivity coefficient Back-Projection (MSBP) method with a sensitivity matrix generated from a realstic phantom in the finite element method software. The results are compared with visual observations (e.g. photographs) of the active flow regime at the time of ERT measurements.

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Evaluation of EIT systems and algorithms for handling full void fraction range in two-phase flow measurement

Cited by 32 publications

References 16 publications

Hydrodynamic study of two phase flow of column flotation using electrical resistance tomography and pressure probe techniques

Hydrodynamic study of two phase flow of column flotation using electrical resistance tomography and pressure probe techniques

Imaging of a distinctive large bubble in gas–water flow based on a size projection algorithm

Imaging of gas–liquid annular flows for underbalanced drilling using electrical resistance tomography

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