收稿日期: 2016-10-20
修回日期: 2016-12-08
网络出版日期: 2017-02-10
基金资助
国家重点研发计划重点专项项目“近海底高精度水合物探测技术”（编号：2016YFC0303900）资助.
Reservoir predication based on synchrosqueezing wavelet transform
Received date: 2016-10-20
Revised date: 2016-12-08
Online published: 2017-02-10
随着勘探难度的增加，小波变换时频分辨率的精度已经难以达到实际勘探目标的要求，这就需要探索分辨率更高的时频分析方法。同步挤压小波变换（Synchrosqueezing Wavelet Transform-SWT）通过对小波变换的复系数谱在频率方向上进行压缩重组，得到比小波变换更高的时频分辨率，同时还具有可逆性和一定的抗噪性。通过模拟信号的测试结果表明，同步挤压小波变换在刻画信号的时频特征方面精度更高、准确性更好；而在实际地震资料的分析当中，利用同步挤压小波变换对含气薄储层的地震数据进行分频处理，其低频处出现明显异常，而且频率越低异常越明显，有效地预测出储层的存在。
李斌，乐友喜，温明明 . 同步挤压小波变换在储层预测中的应用[J]. 天然气地球科学, 2017 , 28(2) : 341 -348 . DOI: 10.11764/j.issn.1672-1926.2016.12.015
With the increasing difficulty of exploration,the accuracy of the time-frequency resolution of wavelet transform has been difficult to meet the requirements of the actual exploration targets,which needs to explore a higher resolution time-frequency analysis method.The synchrosqueezing wavelet transform (SWT) can obtain time-frequency resolution better than the wavelet transform by squeezing and reconstructing complex coefficient spectra in frequency direction.And it also has reversibility and anti-noise property.The simulation results show that the synchrosqueezing wavelet transform has better accuracy in characterizing the time-frequency characteristics of the signal.And in the analysis of the actual seismic data,the frequency division process of the synchrosqueezing wavelet transform is applied to process the thin gas-bearing reservoir seismic data.Where the low frequency appears obvious anomalies,and the lower frequency is,the more obvious anomalies are.So the reservoir is predicted effectively.
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