An electric-based dual-mode tomography system for interpretation on two-phase flow in oil wells

被引:0
|
作者
Zhang, Kuo [1 ]
Wu, Xiling [1 ]
Yan, Jingfu [1 ]
Cai, Jiatie [1 ]
机构
[1] China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing, Peoples R China
关键词
ELECTROMAGNETIC TOMOGRAPHY; SENSOR; FIELD;
D O I
10.1190/INT-2016-0215.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The difficulty for most existing electric/magnetic tomography approaches is the ill-posed characteristic of the inverse problem. Multimode measurement aims to improve the accuracy and efficiency of imaging by fusion of different data forms. We have established an electric-based dual-mode tomography system especially including an innovative image reconstruction algorithm with objectivity. The quality of the reconstructed images is assessed through the comparative study of various algorithms for four typical two-phase flow distributions in oil wells. The most precise result of the newly proposed algorithm indicates the development potential of electricbased dual-mode tomography for well-logging interpretation.
引用
收藏
页码:T259 / T264
页数:6
相关论文
共 50 条
  • [21] Ultrasonic transmission-mode tomography imaging for liquid/gas two-phase flow
    Rahiman, Mohd Hafiz Fazalul
    Rahim, Ruzairi Abdul
    Rahiman, Mohd Hezri Fazalul
    Tajjudin, Mazidah
    IEEE SENSORS JOURNAL, 2006, 6 (06) : 1706 - 1715
  • [22] Effect of flow patterns and velocity field on oil-water two-phase flow rate in horizontal wells
    Wu, Yuyan
    Guo, Haimin
    Deng, Rui
    Song, Hongwei
    GEOPHYSICS, 2024, 89 (01) : D61 - D74
  • [23] SIMULATIVE STUDY ON LIQUID/GAS TWO-PHASE FLOW MEASUREMENT FOR DUAL-PLANE ULTRASONIC TRANSMISSION-MODE TOMOGRAPHY
    Ayob, Nor Muzakkir Nor
    Rahiman, Mohd Hafiz Fazalul
    Zakaria, Zulkarnay
    Yaacob, Sazali
    Rahim, Ruzairi Abdul
    Manan, Mohd Rizal
    JURNAL TEKNOLOGI, 2011, 54
  • [24] Identification of oil-gas two-phase flow pattern based on SVM and electrical capacitance tomography technique
    Zhang, Lifeng
    Wang, Huaxiang
    FLOW MEASUREMENT AND INSTRUMENTATION, 2010, 21 (01) : 20 - 24
  • [25] Characterization of oil/water two-phase flow based on complexity theory
    Zhao, S
    Jin, ND
    Hai, M
    Liu, XB
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 1530 - 1534
  • [26] Flow pattern identification for gas-oil two-phase flow based on a virtual capacitance tomography sensor and numerical simulation
    Xu, Yi
    Pu, Hao
    Li, Yi
    Wang, Haigang
    FLOW MEASUREMENT AND INSTRUMENTATION, 2023, 92
  • [27] Image reconstruction algorithm for two-phase flow electrical capacitance tomography system
    Zheng, GB
    Chen, DY
    Yu, XY
    OPTOMECHATRONIC SYSTEMS III, 2002, 4902 : 588 - 592
  • [28] Control of two-phase flow in a microfluidic system using ac electric fields
    Morgan, H.
    Green, N. G.
    Ramos, A.
    Garcia-Sanchez, P.
    APPLIED PHYSICS LETTERS, 2007, 91 (25)
  • [29] Flow pattern identification of oil-gas two-phase flow based on empirical mode decomposition and BP neural network
    National Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2007, 28 (04): : 609 - 613
  • [30] A Model Based on the Random Forest Algorithm That Predicts the Total Oil-Water Two-Phase Flow Rate in Horizontal Shale Oil Wells
    Zhou, Huimin
    Liu, Junfeng
    Fei, Jiegao
    Shi, Shoubo
    PROCESSES, 2023, 11 (08)