Title

Applied research of synchrosqueezing wavelet transform in seismic spectral decomposition method

单位

(1.中国石油天然气股份有限公司塔里木油田分公司勘探开发研究院，新疆库尔勒841000；2.吉林大学地球探测科学与技术学院，吉林长春130026;3.中国石油化工股份有限公司石油物探技术研究院，江苏南京211103)

Organization

(1.Research Institute of Exploration and Development,Tarim Oilfield Company,PetroChina,Korla 841000,China;2. College of Geo-Exploration Science and Technology,Jilin University, Changchun130026,China;3.Sinopec Geophysical Research Institute,Nanjing 211103,China)

摘要

小波变换作为一种具有多分辨率特征的时频分析方法得到了广泛应用，但受不确定性原理影响，其时频分辨率有限。压缩小波变换(synchrosqueezing wavelet transform,SWT)通过对小波变换的复系数谱在尺度方向进行压缩重排，提高了小波变换的分辨率，同时保持了其完整的数学可逆性。合成信号和实际单道记录测试结果表明，压缩小波变换能够更准确地刻画信号的时频特征；实际地震资料时频分析应用试验中，基于压缩小波变换谱分解方法的目标储层油气检测结果与钻井结果吻合，对储层位置的刻画更加准确，低频异常的现象更加明显，能显著降低储层流体检测的多解性。

Abstract

Although continuous wavelet transform is widely used as a time/frequency analysis method in the field of geophysics because of its multiresolution,the resolution of time/frequency is negatively affected by the Heisenberg uncertainty principle.The synchrosqueezing wavelet transform (SWT) is to squeeze and reconstruct complex coefficient spectra in scale orientation.It enhances the resolution of wavelet transform and preserve its mathematic reversibility.Test results of synthetic signal and the actual single trace record show this method can characterize signal time/frequency with higher accuracy.The application of field seismic data shows that hydrocarbon detection results for target reservoir with synchrosqueezing wavelet transform is consistent with drilling results.It has a more accurate characterization of reservoir location and a more obvious low-frequency anomaly,and even greatly reduces the multisolution of reservoir fluid detection.

关键词：

谱分解; 压缩小波变换; 时频分辨率; 油气检测; 低频异常;

Keywords:

spectral decomposition; synchrosqueezing wavelet transform; time/frequency resolution; hydrocarbon detection; low-frequency anomaly;

基金项目

DOI

10.3969/j.issn.1000-1441.2015.01.007

压缩小波变换地震谱分解方法应用研究