编号：CDUT-2021-59

标题：High-Order Synchroextracting Time-Frequency Analysis and Its Application in Seismic Hydrocarbon Reservoir Identification

入藏号：WOS:000711828000034

中国科学院文献情报中心期刊分区：工程技术2区（2021年升级版）

本校作者：陈旭平；陈辉；方玉霞；胡英

来源出版物：IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 卷: 18 期: 11 页: 2011-2015

出版年：2021

第一地址：成都理工大学

关键词：高阶同步提取；地震烃类储层识别；同步提取算子；时频分析

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摘要：Time–frequency (TF) analysis (TFA) plays an important role in seismic hydrocarbon reservoir identification,which is attributed to its ability to effectively identify the oil and gas seismic response characteristics of geological bodies in different frequency bands. In this letter, we introduce a novel TFA method termed high-order synchroextracting transform (SET) and apply it to the high-precision identification of gas-bearing reservoirs. Under the premise of short-time Fourier transform (STFT), this method defines a new synchroextracting operator (SEO) based on high-order approximations of signal amplitude and phase. Furthermore, only the TF information highly correlated with the TF characteristics of the signal is extracted from the STFT spectrum by using the SEO. Therefore,for a wider variety of the nonstationary signal, a highly energyconcentrated TF representation can be effectively obtained. The application of STFT and different-order SET on 1-D synthetic signal and field seismic data verifies the effectiveness of the proposed method.

文章链接地址：https://ieeexplore.ieee.org/abstract/document/9146359