摘要
小波变换的时频双重局部化特性,是处理非平稳地震信号的有效方法。尝试利用离散小波变换提取地震道信号的特征参数,并根据提取的小波参数,寻求其变化规律,从而直接进行油气检测。首先,在选择不同的小波母函数的基础上,对给定的地震道数据进行小波特征参数提取;最后对小波参数值进行分析、比较以优选油气识别的小波特征参数;然后进行小波特征参数的综合;再根据已知井位的油气属性,确定归类门槛值。通过研究认为,该方法具有可行性。
Wavelet transform,depending upon the property of time-frequency localization,has already been an effective method in non-stationary seismic signals processing.In this paper,we try to use discrete wavelet transform to extract the characters of seismic signals.Based on the wavelet characters,we try to find out it's change rule and use it in prediction in oil&gas.First,based on the selection of diverse matrix function of wavelet,we extract the characters of seismic signals.Following that,we carry on the analysis and comparison of the wavelet parameters in order to select the useful parameters.And then we colligate these parameters.Finally,we can ascertain the threshold value by oil attribute of the wells given.Through research of the paper,feasibility of the method is verified.
出处
《物探化探计算技术》
CAS
CSCD
2006年第2期98-100,共3页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
小波变换
油气检测技术
特征提取
特征综合
wavelet transform
Oil&Gas detection
extract parameters
colligate parameters
