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

Application of spectral decomposition technology in shallow gas detection based on Wigner-Ville distribution
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摘要 Shallow gas is composed of all kinds of shallow buried natural gas resources( < 1500 m) with relatively 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 reservoir has a characteristic that low frequency energy is stronger and high frequency energy is weaker,it indicates the presence of shallow gas successfully. 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.
出处 《Global Geology》 2014年第4期243-246,共4页 世界地质(英文版)
关键词 shallow gas Wigner-Ville distribution cross-term interference kernel function spectral decomposi-tion 浅层气藏 维格纳分布 分解技术 应用 检测 天然气资源 基础 物理性能
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