摘要
在小波理论分析的基础上,通过分频方法,提取高频振幅和低频振幅比作为地震特征参数,并利用其在苏里格气田进行油气检测,效果显著,说明提取的小波参数是较好的地震特征参数。
Gradually finding its place in seismic exploration in recent years, the wavelet transform attracts more and more attention for its good localization of time and frequency. Based on the theoretical analysis of wavelet and combined with the frequency-shared method, the ratio of high-frequency amplitude to lowfrequency amplitude is extracted as a characteristic parameter for the detection of oil and gas. By trial and error, the results show that the extracted wavelet parameter is a preferable seismic characteristic, and can be practicably used to predict oil and gas in the Sulige gas field.
出处
《天然气地球科学》
EI
CAS
CSCD
2007年第3期418-421,共4页
Natural Gas Geoscience
关键词
小波变换
地震特征参数
油气检测
苏里格气田
Wavelet transform
Seismic characteristic parameters
Oil and gas detection
Sulige gas field.
