复杂岩性目标黏弹性叠前深度域成像方法及其应用Imaging method of the viscoelastic prestack depth domain for complex lithologic targets and its application
裴江云
PEI Jiangyun
摘要(Abstract):
针对松辽盆地深层复杂岩性目标地震资料成像分辨率低的难题,通过引入描述黏滞性吸收的等效Q值参数,建立了黏弹性叠前深度偏移方法。该方法依据成像射线将基于反射地震资料建立的时间域Q转换为深度域层Q模型,并应用Q补偿增益阈值控制解决上覆地层吸收补偿的稳定性问题。结合菲涅尔带稳相偏移在倾角域实现偏移噪声压制,提高了计算效率,实现了在稳相偏移成像过程中补偿传播介质引起的吸收,恢复高频成分的衰减。理论模型测试结果表明,该方法有效恢复地震波高频成分,验证了方法正确性。实际地震数据黏弹性偏移成像剖面较常规偏移剖面有效频带展宽15 Hz,提高了地震成像分辨率。
In the light of the problem of low imaging resolution of the seismic data for the deep complex lithologic targets in Songliao Basin, with the help of introducing equivalent parameter Q describing the viscous absorption, the viscoelastic prestack depth migrating method was established. According to the imaging ray, the method converts the established time domain Q based on the reflecting seismic data into the depth-domain layer Q model and by means of the Q compensation gain threshold, the stability problem of the overburden absorption compensation was solved. Combining Fresnel zone with stationary phase migration, the migration noise suppression in the dip domain was achieved and improved its computational efficiency. The computation efficiency is enhanced, the absorption caused by the propagating media is compensated during the stationary phase migration imaging process, and the attenuation of the high-frequency component is restored.The theoretical model test shows that the method can effectively recover the high-frequency components of the seismic wave and verify the correctness of the method. The bandwidth of the actual seismic-data viscoelastic migration imaging profile is 15 Hz wider than that of the effective bandwidth of the conventional migration profile, thus the resolution of the seismic imaging has been improved.
关键词(KeyWords):
层Q建模;吸收补偿;稳相偏移;倾角域;高分辨率;复杂岩性目标
layer Q modeling;absorption compensation;stationary-phase migration;dip angle domain;high resolution;complex lithologic target
基金项目(Foundation): 中国石油天然气股份有限公司重大科技专项“松北深层天然气富集规律、勘探技术研究与规模增储”(2016E-0203)
作者(Author):
裴江云
PEI Jiangyun
DOI: 10.19597/j.issn.1000-3754.201901068
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