黄德智^1,,
韩立国^1,,,
杨飞龙²,
李辉峰²,
苑强³,
孙楠⁴,
杨文平³
1. 吉林大学地球探测科学与技术学院, 长春 130026
2. 西安石油大学地球科学与工程学院, 西安 710065
3. 中石化石油工程地球物理有限公司华北分公司, 郑州 450000
4. 中国石化东北油气分公司勘探开发研究院, 长春 130062

基金项目: 国家自然科学基金面上项目"基于机器学习的主动源与被动源地震数据融合与直接建模研究"（42074154），陕西省自然科学基金项目"基于自适应反射点加密的三维井间地震逆高斯束叠加成像"（2021JQ-588）资助


详细信息

作者简介: 黄德智, 男, 博士研究生, 高级工程师, 从事地震数据处理方法研究.E-mail: 410821265@qq.com

通讯作者: 韩立国, 男, 教授.E-mail: hanliguo@jlu.edu.cn

中图分类号: P631

收稿日期:2020-08-26
修回日期:2020-10-08
上线日期:2021-04-10

S-wave field extraction of multi-wave seismic data based on S-transform spectral similarity of common conversion point gathers

HUANG DeZhi^1,,
HAN LiGuo^1,,,
YANG FeiLong²,
LI HuiFeng²,
YUAN Qiang³,
SUN Nan⁴,
YANG WenPing³
1. College of Exploration Technology, Jilin University, Changchun 130026, China
2. College of the Geoscience and Engineering, Xi'an Shiyou University, Xi'an 710065, China
3. North China Branch of Sinopec Geophysical Corporation, Zhengzhou 450000, China
4. Oil and Gas Exploration and Development Research Institute of Northeast Oil and Gas, Changchun 130062, China


More Information

Corresponding author: HAN LiGuo,E-mail:hanliguo@jlu.edu.cn

MSC: P631

--> Received Date: 26 August 2020
Revised Date: 08 October 2020
Available Online: 10 April 2021


摘要
摘要:横波速度动校正后的共转换点（CCP）道集内，同时刻的各道横波信号S变换（ST）谱与其叠加道ST谱具有相似关系.因此，可基于这种相似关系设计自适应滤波器来提取多波地震数据中的横波波场.首先对共中心点（CMP）道集应用纵波速度动校正并在各道减去叠加道来去除数据中的纵波波场；然后在CCP道集应用横波速度动校正，将地震道振幅水平调整至叠加道振幅水平并做S变换，以叠加道ST谱为参考对地震道ST谱进行自适应滤波，去除数据中的残余纵波和噪声；最后，将滤波结果的振幅水平恢复至滤波前振幅水平.理论和实际数据试算表明，本文方法可有效提取多波地震数据中的横波波场，为多波多分量横波数据处理提供新思路.
关键词: 横波提取/
叠加道/
S变换谱/
自适应滤波器

Abstract:The S-transform (ST) spectrum of S-wave in each common conversion point (CCP) gathers after normal moveout (NMO) correction by S-wave velocity is similar to the stack trace's at the same time. Therefore, the S-wave fields can be extracted from multi-wave seismic data by an adaptive filter which is designed based on the similarity relationship. First of all, in order to remove the P-wave field in the data, the P-wave velocity NMO correction is applied to common middle point (CMP) gather data and the stack trace is subtracted from each trace. Secondly, the S transform of NMO CCP gather is calculated after adjusting the amplitude level of each trace to the level of stack trace, and the residual P-wave field and noise are removed by filtering the ST spectrum of seismic trace with ST spectrum of stack trace as reference adaptively. Finally, the amplitude level of filtering result is recovered to the amplitude level before filtering. Theoretical and practical data tests show that the proposed method can effectively extract the S-wave field in multi-wave seismic data, which provides a new idea for multi-wave and multi-component S-wave data processing.
Key words:S-wave extraction/
Stack trace/
S-transform spectrum/
Adaptive filter



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