摘要
阵列声波信号是典型的非线性、非平稳信号,Hilbert-Huang变换是一种分析非平稳信号的新方法。该方法是对信号进行经验模态分解,将复杂的信号分解为有限数量的几个固有模态函数(IMF),从而得到信号的Hilbert时频谱。将该方法应用于阵列声波测井信号处理上,对声波测井信号进行经验模态分解并得到各阶IMF,对IMF分量作平滑伪Wigner-Ville时频分布,通过分析得到干层与水层之间的差异。实践证明了该方法的有效性。
Array acoustic logging signal is a non-linear and non-stationary signal. Hilbert-Huang transform （HHT） is a new method developed for non-linear and non-stationary signal. The key step of this method is to apply the empirical mode decomposition （EMD）on signal, decomposing the signal into several intrinsic mode functions （IMF）, and then time-frequency spectrum of the signal can be obtained. The HHT is applied to array acoustic logging signal processing, and EMD is used to decompose the signal into several IMF, and then the smooth pseudo Wigner-Ville distribution is obtained. Through the analysis, the difference between the water bearing layer and dry layer can be obtained.
出处
《岩性油气藏》
CSCD
2010年第1期93-97,共5页
Lithologic Reservoirs
基金
国家自然科学基金项目(编号:40874059)资助
