程玖兵,,
王腾飞,
耿建华,
刘玉柱
同济大学海洋地质国家重点实验室, 上海 200092
基金项目: 国家重点研发计划（2017YFB0202903，2018YFC0310104）和国家自然科学基金（41630964，41674117）以及国家科技重大专项（2017ZX05005-004）资助
详细信息
作者简介: 刘学义, 男, 1992年生, 同济大学博士在读, 主要从事海底多分量地震数据成像、反演方法研究.E-mail:xueyiliu@tongji.edu.cn
通讯作者: 程玖兵, 教授, 研究方向:地震波传播、成像及反演及其在油气资源勘探和岩石圈成像中的应用.E-mail:cjb1206@tongji.edu.cn
中图分类号: P631收稿日期:2020-06-25
修回日期:2020-12-15
上线日期:2021-02-10
Wavefield decomposition of ocean bottom multi-component seismograms with low signal-to-noise ratio
LIU XueYi,CHENG JiuBing,,
WANG TengFei,
GENG JianHua,
LIU YuZhu
State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China
More Information
Corresponding author: CHENG JiuBing,E-mail:cjb1206@tongji.edu.cn
MSC: P631--> Received Date: 25 June 2020
Revised Date: 15 December 2020
Available Online: 10 February 2021
摘要
摘要:以多分量地震观测为基础，联合纵波和转换横波数据能更有效地估计地下介质的弹性和物性参数，提升地质构造成像与油气储层描述的精度.在海底多分量地震数据处理过程中，观测记录的上-下行波分解和P/S波分离可压制水层鸣震以及P与S波之间的串扰，对偏移成像和纵横波速度建模至关重要.但受海底环境、仪器与观测因素共同影响，许多海底多分量地震资料都无法基于现有的海底波场分离方法与流程取得合理的结果.本文以海底声波场与弹性波场分离基本原理为基础，通过对方法流程的修正，摆脱常规流程对中小偏移距直达波信号的依赖性.借助模拟数据实验讨论了波场分离对海底介质参数、噪声的敏感性.结合东海YQ探区海底多分量地震资料上-下行P/S波分离及其叠前深度偏移处理，验证了本文方法流程的可行性.
关键词: 多分量/
海底地震仪/
弹性波/
P/S波分离/
东海
Abstract:Based on multi-component seismic observation, combined P-wave and converted S-wave data permits to more effectively estimate the elasticity and physical properties of subsurface media, and improve the accuracy of geological structure imaging and petroleum reservoir characterization. For the processing of ocean bottom seismic data, up-/down-going and P/S wave decomposition of the multi-component seismograms can suppress the water-layer reverberation and cross-talk between the P- and S-waves, and thus play a vital role in seismic migration and construction of P- and S-wave velocity models. However, affected affected by the seafloor environment, instrumental and observation factors, many ocean bottom multi-component seismic data sets have unreasonable results using the existing wavefield decomposition methods and workflow. In this paper, starting from the basic principle of acoustic and elastic wavefield decomposition, we modify the existing approach and workflow to avoid the dependence on direct waves at small-to-medium offsets. Through synthetic data experiments, we investigate the sensitivity of wavefield decomposition to seabed medium parameters and signal-to-noise ratio. Combined with the up/down and P/S decomposition and pre-stack depth migration, we demonstrate the feasibility of the proposed workflow with a multi-component seismic data set acquired by ocean-bottom seismographs (OBS) in the YQ field of the East China Sea.
Key words:Multi-component/
Ocean bottom seismograph/
Elastic waves/
P/S decomposition/
East China Sea
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