论文详情
对不同采集方式得到的可控震源混叠地震数据采用不同的地震处理方法进行分离。利用反演的思想,在高保真采集数据分离过程中引入广义逆算子和奇异值分解以改善分离效果;利用去噪的思想,对独立同步扫描得到的地震数据中的混叠噪声进行压制,其过程是先将混叠地震数据变换到人工分选道集,再采用矢量中值滤波随机噪声压制方法压制混叠噪声。对未分离的可控震源混叠地震数据先直接进行成像,再采用最小二乘逆时偏移方法压制逆时偏移成像过程中产生的部分串扰噪声,同时引入可控震源静态编码技术进一步压制直接成像过程中的产生串扰成像噪声,最后利用整形规则化滤波技术消除串扰成像噪声。模型试算与实际地震资料测试结果表明,利用基于整形规则化的可控震源编码最小二乘逆时偏移方法可消除串扰成像噪声,得到具有高信噪比、高分辨率、高振幅均衡性的成像剖面。
Vibroseis aliasing data obtained by different acquisition methods can be processed through various processing techniques.Aliasing data can be separated from high-fidelity vibratory seismic (HFVS) data by an inversion algorithm.A generalized inverse operator and singular value decomposition can be used to improve the quality of the separation.The aliasing noise of independent simultaneous sweepings (ISS) can be suppressed via denoising.The aliasing data can be transformed into an artificial sorting profile,and vector median filtering can then be used to suppress the aliasing noise.In this study,direct imaging of vibroseis aliasing data was conducted without deblending.Least-squares reverse time migration was used to suppress a part of the crosstalk noise in the reverse time migration imaging.A vibroseis static encoding algorithm was introduced to further suppress the crosstalk imaging noise,and a shape regularization filter was then used to completely eliminate it.Tests on synthetic and field data demonstrated the effectiveness of the proposed approach,which produced noiseless images with high signal-to-noise ratio,high resolution,and a balanced amplitude.
国家自然科学基金(41904101,41774133)、山东自然科学基金(ZR2019QD004)、中央高校基本科研业务费专项资金(19CX2010A)、中国石化地球物理重点实验室开放基金(wtyjy-wx2019-01-03,wtyjy-wx2018-01-06)、国家科技重大专项(2016ZX05024-003-011)、国家重点研发计划(2016YFC060110501)及学校人才引进费(20180041)共同资助。