| 多分量地震波波场分解研究 |
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| 引用本文： | 胡天跃,张广娟,赵伟,温书亮.多分量地震波波场分解研究[J].地球物理学报,2004,47(3):504-508. |
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| 作者姓名： | 胡天跃 张广娟 赵伟 温书亮 |
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| 作者单位： | 北京大学地球与空间科学学院,北京,100871;石油大学资源与信息学院,北京,102200;中国地质大学地球物理与信息技术学院,北京,100083 |
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| 基金项目： | 国家自然科学基金项目 (40 2 740 4 1 )，国家 863计划项目 (2 0 0 1AA2 0 1 1 )，中国石油天然气集团公司创新基金项目 (2 0 0 2CXKF 3) |
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| 摘 要： | 提出了一种有效的多分量地震波波场分解方法, 该方法假设在相邻道集波场的振幅、相位变化不大的情况下, 根据纵波和转换波在传播中相对于不同的极化矢量和慢度得到的垂向和水平向分量, 在最小方差约束下从多分量输入数据中获取纵波和转换波的偏振方向和振幅并重构纵波和转换波, 从而分离纵波和转换波. 这种方法精度较高, 不仅能有效分解一次反射波的多分量波场, 多次反射的纵波和转换波也能被恰当地分解. 该方法不需要输入地层速度等参数信息, 减少了人为误差的影响. 通过对合成资料的处理, 验证了方法的可行性和正确性.
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| 关 键 词： | 地震波 转换波 多分量 波场分解 极化滤波 |
| 文章编号： | 0001-5733(2004)03-0504-05 |
| 收稿时间： | 2003-7-11 |
| 修稿时间： | 2004-1-8 |
Decomposition of multicomponent seismic wavefileds |
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| HU Tian Yue ZHANG Guang Juan ZHAO Wei WEN Shu Liang School of Earth and Space Sciences,Peking University,Beijing ,China School of Resource and Information,Petroleum University,Beijing ,China School of Geophysics and Information Technology,China Geology University,Beijing ,China.Decomposition of multicomponent seismic wavefileds[J].Chinese Journal of Geophysics,2004,47(3):504-508. |
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| Authors: | HU Tian Yue ZHANG Guang Juan ZHAO Wei WEN Shu Liang School of Earth and Space Sciences Peking University Beijing China School of Resource and Information Petroleum University Beijing China School of Geophysics and Information Technology China Geology University Beijing China |
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| Institution: | 1.School of Earth and Space Sciences, Peking University, Beijing 100871, China 2 School of Resource and Information, Petroleum University, Beijing 102200, China 3 School of Geophysics and Information Technology, China Geology University, Beijing 100083, China |
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| Abstract: | This paper presents an effective decomposition method for multicomponent seismic wavefields. This method assumes that the changes of amplitude and phase for the seismic wavefields in the adjacent traces are small. In this case the vertical and the horizontal components for both longitudinal and shear waves are determined by their different polarization and slowness during propagation. Under the least square constraint, the polarization and the slowness for each wave can be estimated from the input multicomponent data. Therefore, the longitudinal and the shear waves can be reconstructed and then separated. This method is accurate. Not only the multicomoponent wavefields of primaries can be decomposed effectively with this method, but also the longitudinal and converted waves which are reflected many times can be decomposed as well. Straigraphical information such as velocities is not needed in this method and therefore effect of artificial errors is reduced. The example of synthetic data confirms that this method is feasible and correct. |
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| Keywords: | Seismic wave Converted wave Multicomponent Wavefield decomposition Polarization filter |
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