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

被引：0

作者：

CHI Huanzhao ^{[1
]}

LIU Cai ^{[2
]}

SHAN Xuanlong ^{[1
]}

WANG Dian ^{[2
]}

LU Qi ^{[2
]}

机构：

[1] College of Earth Sciences,Jilin University

[2] College of Geo-Exploration Science and Technology,Jilin University

来源：

Global Geology | 2014年 / 17卷 / 04期

关键词：

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

D O I：

暂无

中图分类号：

P631.4 [地震勘探];

学科分类号：

0818 ; 081801 ; 081802 ;

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.

引用

页码：243 / 246

页数：4

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