Image Reconstruction for Invasive ERT in Vertical Oil Well Logging

›› 2012, Vol. 20 ›› Issue (2): 319-328.

• SELECTED PAPERS FROM THE 6TH WORLD CONGRESS ON INDUSTRIAL PROCESS TOMOGRA-PHY (WCIPT6) • Previous Articles Next Articles

Image Reconstruction for Invasive ERT in Vertical Oil Well Logging

ZHOU Haili¹, XU Lijun¹, CAO Zhang¹, HU Jinhai², LIU Xingbin²

1. Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, School of Instrument Science and Opto-electronic Engineering, Beihang University, Beijing 100191, China;
2. Production Logging Institute, Daqing Logging & Testing Services Company, Daqing 163453, China

Received:2011-11-28 Revised:2012-01-20 Online:2012-05-02 Published:2012-04-28
Supported by:
Supported by the National Natural Science Foundation of China (61001135);the Fundamental Research Funds for the Central Universities (YWF-11-03-Q-072)

Image Reconstruction for Invasive ERT in Vertical Oil Well Logging

周海力¹, 徐立军¹, 曹章¹, 胡金海², 刘兴斌²

1. Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, School of Instrument Science and Opto-electronic Engineering, Beihang University, Beijing 100191, China;
2. Production Logging Institute, Daqing Logging & Testing Services Company, Daqing 163453, China

通讯作者: XU Lijun
基金资助:
Supported by the National Natural Science Foundation of China (61001135);the Fundamental Research Funds for the Central Universities (YWF-11-03-Q-072)

Abstract

Abstract: An invasive electrical resistance tomographic sensor was proposed for production logging in vertical oil well.The sensor consists of 24 electrodes that are fixed to the logging tool,which can move in the pipeline to acquire data on the conductivity distribution of oil/water mixture flow at different depths.A sensitivity-based algorithm was introduced to reconstruct the cross-sectional images.Analysis on the sensitivity of the sensor to the distribution of oil/water mixture flow was carried out to optimize the position of the imaging cross-section.The imaging results obtained using various boundary conditions at the pipe wall and the logging tool were compared.Eight typical models with various conductivity distributions were created and the measurement data were obtained by solving the forward problem of the sensor system.Image reconstruction was then implemented by using the simulation data for each model.Comparisons between the models and the reconstructed images show that the number and spatial distribution of the oil bubbles can be clearly identified.

Key words: image reconstruction, electrical resistance tomography, invasive sensor, production logging, vertical well

摘要： An invasive electrical resistance tomographic sensor was proposed for production logging in vertical oil well.The sensor consists of 24 electrodes that are fixed to the logging tool,which can move in the pipeline to acquire data on the conductivity distribution of oil/water mixture flow at different depths.A sensitivity-based algorithm was introduced to reconstruct the cross-sectional images.Analysis on the sensitivity of the sensor to the distribution of oil/water mixture flow was carried out to optimize the position of the imaging cross-section.The imaging results obtained using various boundary conditions at the pipe wall and the logging tool were compared.Eight typical models with various conductivity distributions were created and the measurement data were obtained by solving the forward problem of the sensor system.Image reconstruction was then implemented by using the simulation data for each model.Comparisons between the models and the reconstructed images show that the number and spatial distribution of the oil bubbles can be clearly identified.

关键词: image reconstruction, electrical resistance tomography, invasive sensor, production logging, vertical well

ZHOU Haili, XU Lijun, CAO Zhang, HU Jinhai, LIU Xingbin. Image Reconstruction for Invasive ERT in Vertical Oil Well Logging[J]. , 2012, 20(2): 319-328.

周海力, 徐立军, 曹章, 胡金海, 刘兴斌. Image Reconstruction for Invasive ERT in Vertical Oil Well Logging[J]. , 2012, 20(2): 319-328.

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Image Reconstruction for Invasive ERT in Vertical Oil Well Logging

Image Reconstruction for Invasive ERT in Vertical Oil Well Logging

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