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
Link To Document :
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