摘要
希尔伯特-黄(Hilbert-Huang transform,HHT)变换是一种非线性非平稳信号处理技术,在复杂地震信号处理方面比传统的时频分析方法更为有效,但该方法存在模态混叠和端点效应等问题,导致信号处理的精度下降。为此,提出了基于自回归(AR)模型预测的完备总体经验模态分解(Complete Ensemble Empirical Mode Decomposition,CEEMD)方法对希尔伯特-黄变换加以改进:在经验模态分解(Empirical Mode Decomposition,EMD)过程中加入成对的辅助白噪声,降低了由信号中随机噪声引起模态混叠问题;并利用AR模型在信号端点预测出极值点并对其进行包络线拟合,较好地抑制了端点效应。应用改进后的方法提取实际地震记录的瞬时振幅和瞬时频率并进行储层预测,预测结果与测井资料所反映的储层信息吻合度很高,证明该方法能够更为准确有效地反映储层特征。
As a new time-frequency analysis method for non-linear and non-stationary signal,Hilbert-Huang transform has the advantage in seismic data interpretation,compared with conventional time-frequency analysis method.But there are still some problems such as mode mixing and endpoint effect.These problems will reduce signal processing accuracy.We improved the Hilbert-Huang transform（HHT）based on autoregressive（AR）model and proposed complete ensemble empirical mode decomposition（CEEMD）with adding pairs of auxiliary white noises,which can reduce the mode mixing problem caused by random noise.The AR model is used to predict the extreme points in the endpoint and fit the envelope to suppress the endpoint effect.Seismic instantaneous attributes from actual seismic data were extracted by the improved HHT to conduct reservoir prediction.The predicted results was coincident with the reservoir information from logging data.It proves that the improved HHT can reflect the reservoir features more accurately and effectively.
出处
《石油物探》
EI
CSCD
北大核心
2016年第4期606-615,共10页
Geophysical Prospecting For Petroleum
基金
国家科技重大专项(2011ZY05002-001)资助~~
关键词
时频分析
希尔伯特-黄变换
模态混叠
端点效应
AR模型
完备总体经验模态分解
储层预测
time-frequency analysis
Hilbert-Huang transform
mode mixing
endpoint effect
AR model
complete ensemble empirical mode decomposition（CEEMD）
reservoir prediction
作者简介
梁岳（1987-）,男,博士在读,主要从事地震储层预测方法研究.
通讯作者：顾汉明（1963-）,男,教授,博士生导师,现从事油气地震勘探与开发研究.
