希尔伯特—黄变换时频分析在沉积旋回划分中的应用
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摘要
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.
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.
引文
[1]高永进.砂砾岩体沉积旋回划分及对比方法[J].油气地质与采收率,2010,17(6):6-11.
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[3]刘振峰,郝天珧,范国章.沉积旋回的地球物理研究[J].石油实验地质,2004,26(3):258-262.
[4]石万忠,李举子,李梦溪,等.时—频分析在高分辨率层序地层学中的应用[J].石油与天然气地质,2001,22(3):234-237.
[5]雷克辉,朱广生,毛宁波,等.在小波时频域中研究沉积旋回[J].石油地球物理勘探,1998,33(增刊1):72-78.
[6]周强,朱仕军,文中平,等.S变换在高分辨率层序地层学中的应用分析[J].石油天然气学报(江汉石油学院学报),2009,31(2):259-262.
[7]王培茂.地震信号的时频特征表示方法及应用[D].长春:吉林大学,2008.
[8]李振春,刁瑞,韩文功,等.线性时频分析方法综述[J].勘探地球物理进展,2010,33(4):239-246.
[9]侯树杰.时频分析方法对比及S变换在地震数据处理中的应用[J].油气地质与采收率,2011,18(3):44-46.
[10]Huang N E,Shen Z,Long S R.The empirical mode decomposi tion and the Hilbert spectrum for nonlinear and non-stationary time series analysis[M].Proceedings of the Royal Society,1998:903-995.
[11]张郁山.希尔伯特黄变换(HHT)与地震动时程的希尔伯特谱[D].北京:中国地震局地球物理研究所,2003.
[12]李新虎,罗杰,刘东.测井曲线的沉积旋回划分方法及应用[J].西安科技大学学报,2010,30(6):702-705.
[13]夏竹,张震生,孙长虹.利用频率属性识别和划分陆相盆地多期时频层序[J].石油地球物理勘探,2004,38(6):730-738.
[2]徐敬领,王贵文.利用小波时频分析方法研究地层沉积旋回[J].中国石油大学学报:自然科学版,2009,33(5):1-5.
[3]刘振峰,郝天珧,范国章.沉积旋回的地球物理研究[J].石油实验地质,2004,26(3):258-262.
[4]石万忠,李举子,李梦溪,等.时—频分析在高分辨率层序地层学中的应用[J].石油与天然气地质,2001,22(3):234-237.
[5]雷克辉,朱广生,毛宁波,等.在小波时频域中研究沉积旋回[J].石油地球物理勘探,1998,33(增刊1):72-78.
[6]周强,朱仕军,文中平,等.S变换在高分辨率层序地层学中的应用分析[J].石油天然气学报(江汉石油学院学报),2009,31(2):259-262.
[7]王培茂.地震信号的时频特征表示方法及应用[D].长春:吉林大学,2008.
[8]李振春,刁瑞,韩文功,等.线性时频分析方法综述[J].勘探地球物理进展,2010,33(4):239-246.
[9]侯树杰.时频分析方法对比及S变换在地震数据处理中的应用[J].油气地质与采收率,2011,18(3):44-46.
[10]Huang N E,Shen Z,Long S R.The empirical mode decomposi tion and the Hilbert spectrum for nonlinear and non-stationary time series analysis[M].Proceedings of the Royal Society,1998:903-995.
[11]张郁山.希尔伯特黄变换(HHT)与地震动时程的希尔伯特谱[D].北京:中国地震局地球物理研究所,2003.
[12]李新虎,罗杰,刘东.测井曲线的沉积旋回划分方法及应用[J].西安科技大学学报,2010,30(6):702-705.
[13]夏竹,张震生,孙长虹.利用频率属性识别和划分陆相盆地多期时频层序[J].石油地球物理勘探,2004,38(6):730-738.
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