Natural source super-low frequency electromagnetic prospecting in the application of coal-bed methane reservoir identificationChinese Full Text
WANG Nan;QIN Qi-ming;CHEN Li;BAI Yan-bing;Institute of Remote Sensing and GIS,Peking University;
Abstract: Proposed the natural source super-low frequency（SLF）electromagnetic prospecting technology in identifying coal-bed methane（CBM）reservoirs,and illustrated the theory,the strategy and the feasibility of reservoir information extraction. Applied the integrated method of the independent component analysis（ICA）and lifting wavelet transform to filter and reconstruct the SLF curves,and the results successfully suppress the power line interference. By means of the reconstructed SLF signal,authors effectively recognize multi-reservoirs in three CBM wells with different reservoir depths and varying scales of power line interference,and meanwhile evaluate the identification accuracy with depth deviations from 2 to 14 meters. In the profile study of one production CBM well,observe that the SLF prospecting technology contributes to deriving the CBM reservoir distribution and the hydrological information. The analysis indicates that a low resistance body is inferred as a water-filled fault,which may reduce the CBM capacity and should be verified.
Keywords：
super-low frequency（SLF）; electromagnetic prospecting; coal-bed methane（CBM）; reservoir identification; independent component analysis（ICA）; lifting wavelet transform;
- DOI：
10.13225/j.cnki.jccs.2013.0153
- Series：
- Subject：
- Classification Code：
P618.11;P631.325
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