希尔伯特—黄变换时频分析在沉积旋回划分中的应用

Application of Hilbert-Huang transform in sedimentary cycles classification

希尔伯特—黄变换是基于地震数据对信号进行经验模态分解的新的时频分析方法,其克服了原有时频分析方法因受到分辨率和信号平稳性的限制导致沉积旋回划分精度降低的影响,通过对非平稳信号进行处理得到地震信号不同固有模态分量的瞬时时频特征,以此为基础,精细刻画地震资料中的时间、频率和能量之间的关系,进而依据不同模态分量的瞬时时频特征划分出不同级次的地层沉积旋回。模型数据与实际地震资料的处理结果表明,地震数据通过希尔伯特—黄变换时频分析能够准确地进行地层沉积旋回划分,实现的过程简单实用且精确度较高,从而为地层的沉积旋回划分和精细对比提供了有效方法和参考依据。

Hilbert-Huang transform is a new time-frequency technology of processing non-stationary signal based on empirical mode decomposition,which can get the instantaneous time-frequency property for different intrinsic mode functions.Compared with conventional time-frequency technique,Hilbert-Huang transform has its advantage in resolving and stationary of signal,and can realizes the linear instantaneous time-frequency analysis of seismic signal with physical significance,and describes the relationships among time,frequency and energy of seismic signal more delicately,by which,the sedimentary cycles of different levels can be classified.The analysis results of model data and actual seismic data show that the time-frequency analysis of seismic data processed by Hilbert-Huang transform can accurately classify different level stratigraphy sedimentary cycles.And that,it is a simple process with high precision,which provides a new feasible method and reference for sedimentary cycles classification and fine stratigraphy correlation.