Neural network based multi-criterion optimization image reconstruction technique for imaging two- and three-phase flow systems using electrical capacitance tomography

2001 ◽  
Vol 12 (12) ◽  
pp. 2198-2210 ◽  
Author(s):  
W Warsito ◽  
L-S Fan
Keyword(s):  
Neural Network ◽  
Image Reconstruction ◽  
Electrical Capacitance Tomography ◽  
Reconstruction Technique ◽  
Phase Flow ◽  
Electrical Capacitance ◽  
Three Phase ◽  
Three Phase Flow ◽  
Image Reconstruction Technique ◽  
Capacitance Tomography

Image Fusion of ECT/ERT for Oil-Gas-Water Three-Phase Flow

2011 ◽  
Vol 3 (2) ◽  
pp. 29-34 ◽  
Author(s):  
Lifeng Zhang
Keyword(s):  
Image Fusion ◽  
Electrical Capacitance Tomography ◽  
Phase Flow ◽  
Electrical Capacitance ◽  
Cross Sectional ◽  
Three Phase ◽  
Three Phase Flow ◽  
Capacitance Tomography ◽  
Oil Gas ◽  
Image Fusion Method

The tomographic imaging of process parameters for oil-gas-water three-phase flow can be obtained through different sensing modalities, such as electrical resistance tomography (ERT) and electrical capacitance tomography (ECT), both of which are sensitive to specific properties of the objects to be imaged. However, it is hard to discriminate oil, gas and water phases merely from reconstructed images of ERT or ECT. In this paper, the feasibility of image fusion based on ERT and ECT reconstructed images was investigated for oil-gas-water three-phase flow. Two cases were discussed and pixel-based image fusion method was presented. Simulation results showed that the cross-sectional reconstruction images of oil-gas-water three-phase flow can be obtained using the presented methods.

Oil-Gas-Water Three-Phase Flow Monitoring Based on Image Fusion of ECT and ERT

2013 ◽  
Vol 483 ◽  
pp. 397-400
Author(s):  
Li Feng Zhang
Keyword(s):  
Image Fusion ◽  
Electrical Capacitance Tomography ◽  
Phase Flow ◽  
Cross Sectional ◽  
Flow Monitoring ◽  
Three Phase ◽  
Three Phase Flow ◽  
Capacitance Tomography ◽  
Oil Gas ◽  
Image Fusion Method

Electrical resistance tomography (ERT) and electrical capacitance tomography (ECT) are sensitive to resistivity and permittivity distributions of the object to be imaged. However, it is hard to discriminate oil, gas and water phases only using ERT or ECT. In this paper, image fusion based on ERT and ECT reconstructed images was investigated for oil-gas-water three-phase flow. And then, pixel-based image fusion method was presented. Simulation results showed that the cross-sectional reconstruction images of oil-gas-water three-phase flow can be obtained using the presented methods for discussed cases.

Study of Sensor of Electrical Capacitance Tomography (ECT) System Based on COMSOL

2013 ◽  
Vol 734-737 ◽  
pp. 3016-3021 ◽  
Author(s):  
Hai Yan Cao ◽  
Xue Mei Duan ◽  
Hua Xiang Wang
Keyword(s):  
Electrical Capacitance Tomography ◽  
Phase Flow ◽  
Electrical Capacitance ◽  
Two Phase ◽  
Simulation Research ◽  
Three Phase Flow ◽  
Multi Phase Flow ◽  
A New Technique ◽  
Multi Phase ◽  
Capacitance Tomography

Electrical Capacitance Tomography technique is a new technique for multi-phase flow measurement. With broad application prospects, the purpose of this technique is to identify each phases composition of two-phase/multi-phase flow system in a closed pipe. A new method COMSOL was used to analysis the electrical capacitance tomography of reconstruction image and simulation research. First of all, different electrical models were established, and the reconstruction images of four kinds of representative flow were achieved; In addition, through simulation study of the field with disperse phase, the influence of the electrode number, shielding case and radial electrode to the imaging quality were analyzed; Finally, the reconstruction images of three-phase flow were achieved to obtain the satisfactory result.

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