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Global Geology 2014, 17(4) 243-246 DOI:
ISSN: 1673-9736 CN: 22-1371/P |
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Application of spectral decomposition technology in shallow gas detection based on Wigner- Ville distribution |
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CHI Huanzhao, LIU Cai, SHAN Xuanlong, WANG Dian and LU Qi |
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1. College of Earth Sciences,Jilin University,Changchun 130061,China; 2. College of Geo- Exploration Science and Technology,Jilin University,Changchun 130026,China |
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Abstract:
Shallow gas is composed of all kinds of shallow buried natural gas resources ( <1500 m) with rela- tively small reserve for each gas resource. It has some advantages such as shallow burial depth,good physical properties and the huge accumulations. Based on the Wigner- Vill distribution,a general spectral decomposition method is applied in the shallow gas detection. Cone- shaped kernel function filtering method is used to suppress cross- terms of the Wigner- Ville distribution,which is tested on field seismic data. Because of shallow gas reser- voir has a characteristic that low frequency energy is stronger and high frequency energy is weaker,it indicates the presence of shallow gas successfully. |
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Keywords:
shallow gas
Wigner- Ville distribution
cross- term interference
kernel function
spectral decomposition
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Received Revised Online: |
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