Cross correlation velocity of oil-water two-phase flow by a Dual-plane Electrical Resistance Tomography system

2010 ◽  
Author(s):  
Chao Tan ◽  
Feng Dong
Keyword(s):  
Electrical Resistance ◽  
Cross Correlation ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Electrical Resistance Tomography ◽  
Two Phase ◽  
Dual Plane ◽  
Tomography System ◽  
Oil Water

A novel gas/liquid two-phase flow imaging method through electrical resistance tomography with DDELM-AE sparse dictionary

Sensor Review ◽  
2020 ◽  
Vol 40 (4) ◽  
pp. 407-420
Author(s):  
Bo Li ◽  
Jian ming Wang ◽  
Qi Wang ◽  
Xiu yan Li ◽  
Xiaojie Duan
Keyword(s):  
Electrical Resistance ◽  
Transient Flow ◽  
Two Phase Flow ◽  
Flow Imaging ◽  
Phase Flow ◽  
Electrical Resistance Tomography ◽  
Two Phase ◽  
Flow Process ◽  
Content Type ◽  
High Level

Purpose The purpose of this paper is to explore gas/liquid two-phase flow is widely existed in industrial fields, especially in chemical engineering. Electrical resistance tomography (ERT) is considered to be one of the most promising techniques to monitor the transient flow process because of its advantages such as fast respond speed and cross-section imaging. However, maintaining high resolution in space together with low cost is still challenging for two-phase flow imaging because of the ill-conditioning of ERT inverse problem. Design/methodology/approach In this paper, a sparse reconstruction (SR) method based on the learned dictionary has been proposed for ERT, to accurately monitor the transient flow process of gas/liquid two-phase flow in a pipeline. The high-level representation of the conductivity distributions for typical flow regimes can be extracted based on denoising the deep extreme learning machine (DDELM) model, which is used as prior information for dictionary learning. Findings The results from simulation and dynamic experiments indicate that the proposed algorithm efficiently improves the quality of reconstructed images as compared to some typical algorithms such as Landweber and SR-discrete fourier transformation/discrete cosine transformation. Furthermore, the SR-DDELM has also used to estimate the important parameters of the chemical process, a case in point is the volume flow rate. Therefore, the SR-DDELM is considered an ideal candidate for online monitor the gas/liquid two-phase flow. Originality/value This paper fulfills a novel approach to effectively monitor the gas/liquid two-phase flow in pipelines. One deep learning model and one adaptive dictionary are trained via the same prior conductivity, respectively. The model is used to extract high-level representation. The dictionary is used to represent the features of the flow process. SR and extraction of high-level representation are performed iteratively. The new method can obviously improve the monitoring accuracy and save calculation time.

Simulative Study On Liquid/Gas Two–Phase Flow Measurement For Dual–Plane Ultrasonic Transmission–Mode Tomography

2012 ◽  
Author(s):  
Nor Muzakkir Nor Ayob ◽  
Mohd Hafiz Fazalul Rahiman ◽  
Zulkarnay Zakaria ◽  
Sazali Yaacob ◽  
Ruzairi Abdul Rahim ◽  
...  
Keyword(s):  
Flow Measurement ◽  
Cross Correlation ◽  
Two Phase Flow ◽  
Separation Distance ◽  
Correlation Technique ◽  
Phase Flow ◽  
Two Phase ◽  
Transmission Tomography ◽  
Single Plane ◽  
Dual Plane

Kajian simulatif telah dijalankan mengenai penggunaan teknik korelasi–silang untuk ultrasonik transmisi tomografi satah berganda. Teknik ini digunakan untuk membandingkan isyarat dari setiap satah yang masing–masing dinamakan satah–bawah dan satah–atas. Pemisahan jarak antara kedua–dua satah adalah tetap. Hasil dari perbandingan isyarat satah berganda, digabungkan dengan jarak pemisahan yang telah diketahui termasuk kelajuan sistem memproses maklumat, boleh digunakan untuk menganggarkan kelajuan aliran di dalam paip pemprosesan yang hendak diteliti. Penggabungan Ultrasonik Transmisi Tomografi (UTT) dengan teknik pengukuran korelasi–silang dapat memberikan maklumat yang lebih lanjut mengenai aliran jika dibandingkan dengan sistem UTT bersatah tunggal. Diskusi dalam artikel ini lebih memfokuskan kepada nilai min setiap gambar dan pekali korelasi 2D yang akan digunakan untuk mengkorelasikan gambar tomogram antara satah–bawah dan satah–atas. Prinsip pengukuran kelajuan pergerakan gas didalam keadaan gas dan cecair yg bergelembung berdasarkan pada korelasi–silang antara kedua–dua satah juga dijelaskan. Keputusan awal eksperimen menggambarkan kesesuaian kaedah yang dibentangkan di sini. Kata kunci: Korelasi–silang; corak beku; korelasi min; simulasi satah berganda; tomografi transmisi ultrasonik Simulative studies are done on the use of cross–correlation technique based on a dual–plane ultrasonic transmission tomography for liquid and gas two–phase flow measurement. This technique is used to correlate the signals from each sensing area namely downstream plane and upstream plane. Separation distance between both sensing areas is fixed. The result from cross correlating the dual–plane signals, combined with the known separation distance and the system’s acquisition rate is used to estimate the velocity of the flow inside the investigated process column. Combining Ultrasonic Transmission Tomography (UTT) with the cross–correlation flow measurement technique can provide more information on the flow than a single–plane UTT system. This paper focuses on the mean value of the images and the 2D correlation coefficient that is used to cross–correlate the tomogram images between the downstream and upstream plane of the simulated dual–plane ultrasonic transmission tomography system. The principle of measurement for local gas velocity distribution in a bubbly gas/liquid pipe flow based on crosscorrelation of two plane images is also described. Initial experimental results illustrate the feasibility of the method presented here. Key words: Cross–correlation; frozen pattern; mean correlation; dual–plane simulation; ultrasonic transmission tomography

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