• DocumentCode
    3025194
  • Title

    Integrating remote sensing and Super-Low Frequency electromagnetic technology in exploration of buried faults

  • Author

    Li Chen ; Qiming Qin ; Yanbing Bai ; Nan Wang ; Jun Wang ; Chao Chen

  • Author_Institution
    Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    811
  • Lastpage
    814
  • Abstract
    The buried faults are widespread in the coal-bed, which result in great difficulties in the construction work. In this paper, an integrated method is used in coal-bed in order to detect and analyze the characteristics of buried faults. Firstly, the lineaments are interpreted by visual interpretation from the ETM+ image, and several lineaments enriched areas are picked up. Secondly Super-Low Frequency (SLF) electromagnetic detection is conducted in these areas. Finally, combined with the geology information, lineament distribution and the SLF data, the characteristics of the buried faults are delineated. The results show that the near EW trending normal faults exist widely in the study area by this method, and the depth of the buried faults are presumed in 450-600 m that are coherent with the available drilling data.
  • Keywords
    coal; faulting; geophysical prospecting; hydrocarbon reservoirs; remote sensing; ETM+ image visual interpretation; SLF electromagnetic detection; buried fault characteristics; buried fault exploration; coal bed; depth 450 m to 600 m; geology information; lineament distribution; remote sensing; superlow frequency electromagnetic technology; Electromagnetics; Geology; Noise; Remote sensing; Visualization; Wavelet transforms; Buried faults; Remote sensing; Super-Low Frequency electromagnetic detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721282
  • Filename
    6721282