| 基于波动方程表面多次波预测与 自适应相减方法研究 |
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| 引用本文： | 石颖,刘洪,邹振.基于波动方程表面多次波预测与 自适应相减方法研究[J].地球物理学报,2010,53(7):1716-1724. |
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| 作者姓名： | 石颖 刘洪 邹振 |
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| 作者单位： | 1. 中国科学院地质与地球物理研究所 中国科学院油气资源研究重点实验室,北京 100029;
2. 中国科学院研究生院,北京 100049;
3. 东北石油大学地球科学学院,大庆 163318 |
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| 基金项目： | 国家"973"重点基础研究发展计划项目，国家"863"高技术研究发展计划项目，国家自然科学基金项目，国家科技重大专项(2008ZX05023)所属子课题 |
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| 摘 要： | 多次波预测与自适应相减是基于波动方程表面多次波压制的两个重要环节.文中利用具有并行计算优势的GPU加速表面多次波预测,使得预测效率大为提高.在自适应相减算法中,文中将预测的多次波道、预测多次波道的Hilbert变换道、预测多次波道的高频重建道、以及它们的平移道用作自适应相减中的多次波模型道.Hilbert变换道用以补偿预测多次波的相位信息,高频重建道用以改善预测多次波的高频信息,补偿频带能量差异.文中在预测和相减过程中均采用迭代算法,迭代预测,可较好地获得多次波的运动学特性,迭代相减,可较好地获得多次波的动力学特性,迭代预测与相减使预测的多次波与地震数据中实际的多次波更好地匹配.将该方法应用于理论模拟的SMAART模型和实际海洋数据中,测试结果表明,该方法预测多次波效率较高,在保持有效波振幅条件下可有效地压制地震数据中的表面多次波.
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| 关 键 词： | 表面多次波 预测 自适应相减 GPU 高频重建 迭代 |
| 收稿时间： | 2010-04-26 |
Surface-related multiples prediction based on wave equation and adaptive subtraction investigation |
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| SHI Ying,LIU Hong,ZOU Zhen.Surface-related multiples prediction based on wave equation and adaptive subtraction investigation[J].Chinese Journal of Geophysics,2010,53(7):1716-1724. |
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| Authors: | SHI Ying LIU Hong ZOU Zhen |
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| Institution: | 1. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences,Beijing 100029, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
3. College of Earth Sciences, Northeast Petroleum University, Daqing 163318, China |
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| Abstract: | Multiples prediction and adaptive subtraction are two important links for wave-equation-based surface-related multiples attenuation method. GPU with parallel computation advantage is exploited to accelerate surface-related multiples prediction, which improved calculation efficiency greatly. In adaptive subtraction algorithm, multiples modeling traces contain predicted multiple trace, high-frequency reconstruction trace from predicted multiple trace, Hilbert transform trace from predicted multiple trace, and their translation trace. Hilbert transform trace will compensate phase information of multiples, and high-frequency reconstruction trace improves high-frequency information of predicted multiples, which compensate energy difference in frequency band. Iterative algorithms are used during prediction and subtraction. Iterative prediction improves kinematic properties and iterative subtraction improves dynamic properties, which make predicted multiples match actual multiples well. The proposed method is applied on theoretical SMAART model and raw marine data. The test results show that the method can predict multiples of seismic data efficiently, also suppress surface-related multiples without damaging primary effectively. |
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| Keywords: | GPU |
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