| 摘要: |
| 非重复采集的多分量和拖缆地震数据由于方位角、偏移距、覆盖次数、信噪比等差异，不利于时移地震对比，需在时移对比前进行一致性处理。压缩感知技术能够对地震数据进行重建和改善地震数据信噪比，将两期地震数据覆盖次数和信噪比归一化。本文将南海某区域早期三维拖缆地震数据和近期OBC（Ocean Bottom Cable，海底电缆）多分量地震数据进行非重复性时移地震处理研究：首先将OBC按与拖缆方位角、偏移距交集的部分取出，实现拖缆数据进行方位角和偏移距归一化；然后采用压缩感知数据重建的方法实现两期数据的覆盖次数和信噪比的一致性，同时与五维插值方法进行对比；最后将一致性处理后的两期数据进行时移对比分析。结果说明：压缩感知数据重建可以提高并归一化两期地震数据的覆盖次数和信噪比，达到时移对比的目的，且优于五维插值方法。研究结论表明压缩感知数据重建方法可实现OBC与三维拖缆数据进行非重复性时移地震一致性研究，降低时移地震成本，为后续多分量数据进行非重复性时移地震研究提供依据。 |
| 关键词: 时移地震 非重复 OBC 压缩感知 数据重建 时移对比 |
| DOI： |
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| 基金项目:中国海洋石油有限公司重大科技项目（编号KJGG2021-0501） |
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| Application of Compressed Sensing in Multi-component and Towed Streamer Data in Time-shift Seismic Processing |
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LiuWei1, LeiXiao1, suibo1, liyibin1, chenfengying2, liuzhend2, wangxiangchun2
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1.中海石油（中国）有限公司湛江分公司;2.中国地质大学（北京）
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| Abstract: |
| Due to the difference of azimuth and offset, the two seismic data acquired without repetition geometry are not conducive to time-shift seismic comparison, so consistency processing should be carried out before time-shift comparison. Compressed sensing technology can reconstruct seismic data, improve the signal-to-noise ratio of seismic data, and normalize the two seismic data. In this paper, the early 3D towed streamer seismic data and recent OBC multi-component seismic data in a region of the South China Sea are studied for non-repetitive time-shift data processing. Firstly, the intersection data of OBC and towed streamer azimuth and offset are extracted to achieve the normalization of the towed streamer data for azimuth and offset. Then the compression sensing data reconstruction method is used to normalize the coverage times and signal-to-noise ratio of the two data, and compare with the five-dimensional interpolation method. Finally, the two normalized data were analyzed by time-shift comparison. The results show that compressed sensing data reconstruction can improve and normalize the coverage times and signal-to-noise ratio of the two seismic data, and achieve the purpose of time-shift comparison, and it is better than the five-dimensional interpolation method. The results show that the compressed sensing data reconstruction method can normalize the fold and signal noise of OBC and 3D towed streamer data, realize the non-repetitive time-shift seismic consistency study, reduce the time-shift seismic cost, and provide a basis for the subsequent non-repetitive time-shift seismic exploration with multi-component data. |
| Key words: Time-shift seismic Non-repetition OBC Compression sensing Data reconstruction Time-shift correlation |