| 优化多次波贡献道集求和孔径压制三维表面多次波 |
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| 引用本文： | 方云峰,柯本喜,李鹏,聂红梅,李晚东.优化多次波贡献道集求和孔径压制三维表面多次波[J].石油地球物理勘探,2015,50(5):848-853. |
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| 作者姓名： | 方云峰 柯本喜 李鹏 聂红梅 李晚东 |
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| 作者单位： | 1.中国海洋大学海洋地球科学学院, 山东青岛 266100;2.东方地球物理公司, 河北涿州 072751;3.中国地质大学北京, 北京 100083 |
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| 基金项目： | 本项研究受国家科技重大专项(2011ZX05019-003)项目资助 |
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| 摘 要： | 为了提高三维SRME(Surface Related Multiple Elimination)方法的计算效率并减少对计算机存储资源的需求,对三维SRME方法中多次波贡献道集(Multiple Contribution Gather,MCG)的求和孔径进行了研究,提出了优化多次波贡献道集求和孔径的思路;用近似解和容差替代准确解,给出了一种在菲涅尔带内优化多次波MCG孔径的方法.三维实际资料的应用表明,利用求和孔径优化后的多次波贡献道集进行多次波压制,在压制效果近似的情况下,能够大幅度减少三维SRME方法对于计算机存储资源和计算资源的需求.
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| 关 键 词： | 孔径优化 三维表面多次波 预测 多次波贡献道集(MCG) |
| 收稿时间： | 2014-05-14 |
A fast 3D surface related multiple elimination approach based on aperture optimization |
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| Fang Yunfeng,Ke Benxi,Li Peng,Nie Hongmei,Li Wandong.A fast 3D surface related multiple elimination approach based on aperture optimization[J].Oil Geophysical Prospecting,2015,50(5):848-853. |
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| Authors: | Fang Yunfeng Ke Benxi Li Peng Nie Hongmei Li Wandong |
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| Affiliation: | 1. Ocean University of China, Qingdao, Shandong 266100, China;
2. R&D Department, BGP Inc., CNPC, Zhuozhou, Heibei 072751, China;
3. China University of Geosciences (Beijing), Beijing 100083, China |
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| Abstract: | In order to improve computational efficiency and reduce computer storage of 3D surface related multiple elimination (SRME), this paper proposes a new approach for 3D surface related multiple elimination. We optimize the aperture of multiple contribution gather based on the aperture of 3D multiple contribution gather (MCG), and replace exact solution by approximate solution and tolerance. Tests on 3D field data prove that the proposed approach achieves similar multiple elimination as other 3D SRME approaches do, but greatly reduces computer storage and computing cost. |
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| Keywords: | aperture optimization 3D surface related multiple prediction multiple contribution gather |
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