摘要
谱分解技术作为一项新颖的地震解释技术,在储层预测等方面得到越来越多的应用。准确刻画地震信号在时频空间分布特征是谱分解技术的关键。短时傅里叶变换的时频分辨率受时窗长度限制,不同的时窗参数对结果有较大的影响。小波变换以其多分辨率的特点能够得到更好的时频分布,但其在时间-尺度概念下的时频分解难以理解,而具有自适应特征的匹配追踪方法时频概念相对明确,模型和实际应用表明匹配追踪谱分解具有较好的时频分辨率,更适用于复杂的地震信号。
Spectral decomposition as a new technology of seismic interpretation has been adopted in more and more applications in reservoir prediction. The key to successful use of this technology is figure out a method which can accurately depict the time-frequency representation of seismic signal. The time-frequency resolution of short time Fourier transform is restricted by the width of the window. Window parameters have great impact on the results. Wavelet transform can give good time-frequency representation due to its characteristics of multi-resolution, but the meaning of decomposition is difficult to understand within the framework of time and scale. Adaptive matching pursuit is clear in concept. Analysis on model and real data show that spectral decomposition based on matching pursuit have a better time and frequency resolution and is suitable for more complicated seismic signals.
出处
《勘探地球物理进展》
2009年第1期33-36,共4页
Progress in Exploration Geophysics
关键词
地震信号
谱分解
时频分析
小波变换
匹配追踪
seismic signal
spectral decomposition
time-frequency analysis
wavelet transform
matching pursuit
