›› 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 Hai-Li1, XU Li-Jun1, CAO Zhang1, HU Jin-Hai2, LIU Xing-Bin2   

  1. 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 Online:2012-01-20 Published:2012-04-28

用于竖直油井测井的侵入式电阻层析成像图像重建

周海力1, 徐立军1, 曹章1, 胡金海2, 刘兴斌2   

  1. 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

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