摘要
S变换是由小波变换和短时傅里叶变换发展而来的时频分析方法,动校正后共中心点道集(NMO-CMP)中相同时刻各道地震信号的振幅、相位基本一致,多源地震数据中的混叠噪声在CMP道集中呈随机分布;将NMO-CMP道集叠加,以叠加道S变换谱为参考,可以判断出各道S变换谱中噪声与信号的分布。根据NMO-CMP道集中地震道S变换谱与叠加参考道S变换谱之间的偏离程度设计自适应滤波器,通过多级滤波、多次迭代的方法,提取多震源数据中的有效反射信号、分离混叠噪声。理论数据和实际数据模拟的多源地震数据试算结果表明,本文方法能够有效提取多源地震数据中的有效反射信号、分离混叠噪声和随机噪声。
S-transform is a time-frequency analysis method developed from wavelet transform and short-time Fourier transform.After NMO correction,the amplitude and phase of the signal in every seismic trace of a CMP gather are consistent at the same time,and the blended noises in blended seismic data are distributed randomly.Therefore,the distribution of noises and signals in the S-transform spectra of each trace can be effectively determined by stacking CMP traces after NMO correction,and using the S-transform spectra of the stacked trace as references,the designed filter of S-transform spectra can separate the blended noises.In this study,we first designed a filter based on the deviation between the S-transform spectra of seismic data in CMP gathers and the S-transform spectra of stacked traces after NMO correction,and then extracted signals and deblended noises after multilevel adaptive filtering and multiple iterations.Applications to theoretical data and simulated actual seismic data have proved the method can effectively extract signals and separate deblended noises and random noises.
作者
黄德智
韩立国
李辉峰
杨飞龙
赵晓宇
孙楠
HUANG Dezhi;HANLiguo;LI Huifeng;YANG Feilong;ZHAO Xiaoyu;Sun Nan(College of Geo-exploration Science and Technology,Jilin University,Changchun,Jilin 130026,China;School of Earth Sciences and Engineering,Xi’an Shiyou University,Xi’an,Shaanxi 710065,China;North China Branch,Sinopec Geophysical Corporation,Zhengzhou,Henan 450000,China;Research Institute of Exploration and Development,Northeast Oil&Gas Branch of Sinopec,Changchun,Jilin 130062,China)
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2020年第6期1253-1262,1162-1163,共12页
Oil Geophysical Prospecting
基金
国家重点研发计划项目“天然气水合物高分辨率三维地震探测技术”(2017YFC0307405)资助
作者简介
黄德智,博士研究生,1976年生,2000年毕业于中国石油大学(华东),获应用地球物理专业工学学士学位,2018年获长安大学地球探测与信息技术专业硕士学位,现在吉林大学攻读地球探测与信息技术专业博士学位,主要从事地震数据处理方法研究,Email:410821265@qq.com
