摘要
经验模态分解即EMD(Empirical Mode Decomposition)方法可以通过提取局部均值曲线,将复杂信号分解为一系列分量函数,很好地处理非平稳、非线性信号。针对地区优选多个反映地质构造和岩性的灵敏指标进行组合,再对组合指标进行EMD分解,研究分解后固有模态函数的相关性及物理意义,可以很好地划分地层和识别旋回,为测井层序界面识别提供了一种有效的信号处理手段。
The empirical mode decomposition （EMD） can decompose complex signal into a series of component functions through curves of local mean values,which can dispose the non-stationary and non-linear signals well.With regional fine selected sensitive index combination that reflects the geographic structure and lithology,the combination index can be discomposed through EMD method to study the correlation and the physical meaning of intrinsic mode functions,meanwhile it can well identify the stratigraphy and cycle sequence and provide an effective signal processing method for sequence interfaces.
出处
《测井技术》
CAS
CSCD
北大核心
2014年第4期474-479,共6页
Well Logging Technology
关键词
测井解释
经验模态分解法
固有模态函数
数据处理
层序
log interpretation
empirical mode decomposition （EMD）
intrinsic mode function
data processing
sequence stratigraphy
