弹性波逆时偏移的角度域共成像点道集提取方法

doi:10.13810/j.cnki.issn.1000-7210.2022.04.013

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石油地球物理勘探 ›› 2022, Vol. 57 ›› Issue (4) : 870-878. DOI: 10.13810/j.cnki.issn.1000-7210.2022.04.013

偏移成像

弹性波逆时偏移的角度域共成像点道集提取方法

徐蔚亚^1,2,3, 朱成宏^1,2,3, 魏哲枫^1,2,3, 张晓语⁴, 杜启振⁵

作者信息 +

Angle-domain common-image gather extraction based on elastic reverse time migration

XU Weiya^1,2,3, ZHU Chenghong^1,2,3, WEI Zhefeng^1,2,3, ZHANG Xiaoyu⁴, DU Qizhen⁵

Author information +

文章历史 +

摘要

对于多分量地震勘探，由于介质中纵、横波的耦合作用，多波角道集存在能量串扰和低波数噪声干扰等问题。针对横波Poynting矢量构建过程中存在的应力串扰问题，基于解耦延拓方程及伪横波应力构建方法，对质点振动速度和应力进行解耦，实现了无能量串扰的纵波和横波Poynting矢量构建；在基于Poynting矢量提取PP波反射角和PS波反射角的基础上，提出了基于弹性逆时偏移的PP波和PS波角道集提取方法；针对PP波角度域共成像点道集存在的低波数噪声干扰问题，提出了角度域共成像点道集的角度衰减叠加策略，提高了偏移成像精度。应用模型数据验证了方法的正确性。

Abstract

Due to the coupling effect of P- and S-waves in the medium,multi-wave angle-domain common-image gathers (ADCIGs) encounter the problems such as energy crosstalk and low wavenumber noise in multicomponent seismic exploration. To solve the stress crosstalk problem in the construction of the Poynting vector of S-waves,this study uses the decoupled wave equation and pseudo-S-wave stress construction method to decouple the particle vibration velocity and stress,and the Poynting vectors of the P- and S-waves are constructed without energy crosstalk. Then,the PP-wave and PS-wave reflected angles are extracted given the Poynting vectors. On this basis,this paper proposes the PP-wave and PS-wave ADCIG extraction method based on the elastic reverse time migration (ERTM). Considering the low wavenumber noise in PP-wave ADCIGs,an angle attenuation superposition strategy for ADCIGs is proposed to improve the migration imaging accuracy. The model test verifies the correctness of the method.

导出引用

徐蔚亚, 朱成宏, 魏哲枫, 张晓语, 杜启振. 弹性波逆时偏移的角度域共成像点道集提取方法[J]. 石油地球物理勘探, 2022, 57(4): 870-878 https://doi.org/10.13810/j.cnki.issn.1000-7210.2022.04.013

XU Weiya, ZHU Chenghong, WEI Zhefeng, ZHANG Xiaoyu, DU Qizhen. Angle-domain common-image gather extraction based on elastic reverse time migration[J]. Oil Geophysical Prospecting, 2022, 57(4): 870-878 https://doi.org/10.13810/j.cnki.issn.1000-7210.2022.04.013

中图分类号： P631

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