Application of spectral decomposition technology in shallow gas detection based on Wigner- Ville distribution

CHI Huanzhao, LIU Cai, SHAN Xuanlong, WANG Dian and LU Qi

Global Geology ›› 2014, Vol. 17 ›› Issue (4) : 243-246.

PDF(904 KB)
PDF(904 KB)
Global Geology ›› 2014, Vol. 17 ›› Issue (4) : 243-246.
论文

Application of spectral decomposition technology in shallow gas detection based on Wigner- Ville distribution

  • CHI Huanzhao, LIU Cai, SHAN Xuanlong, WANG Dian and LU Qi
Author information +
History +

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.

Key words

shallow gas / Wigner- Ville distribution / cross- term interference / kernel function / spectral decomposition

Cite this article

Download Citations
CHI Huanzhao, LIU Cai, SHAN Xuanlong, WANG Dian and LU Qi. Application of spectral decomposition technology in shallow gas detection based on Wigner- Ville distribution[J]. Global Geology. 2014, 17(4): 243-246
PDF(904 KB)

Accesses

Citation

Detail

Sections
Recommended

/