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基于同相轴优化追踪的多次波匹配衰减方法
引用本文:谭军,李金山,宋鹏,王磊,张晓波,钟梦轩. 基于同相轴优化追踪的多次波匹配衰减方法[J]. 中国石油大学学报(自然科学版), 2016, 40(6): 40-49
作者姓名:谭军  李金山  宋鹏  王磊  张晓波  钟梦轩
作者单位:中国海洋大学海洋地球科学学院,山东青岛 266100;海洋国家实验室海洋矿产资源评价与探测技术功能实验室, 山东青岛266071;中国海洋大学海底科学与探测技术教育部重点实验室,山东青岛 266100,中国海洋大学海洋地球科学学院,山东青岛 266100;海洋国家实验室海洋矿产资源评价与探测技术功能实验室, 山东青岛266071;中国海洋大学海底科学与探测技术教育部重点实验室,山东青岛 266100,中国海洋大学海洋地球科学学院,山东青岛 266100;海洋国家实验室海洋矿产资源评价与探测技术功能实验室, 山东青岛266071;中国海洋大学海底科学与探测技术教育部重点实验室,山东青岛 266100,中国海洋大学海洋地球科学学院,山东青岛 266100,中国海洋大学海洋地球科学学院,山东青岛 266100,中国海洋大学海洋地球科学学院,山东青岛 266100
基金项目:国家自然科学基金项目(41574105)
摘    要:提出基于同相轴优化追踪的多次波匹配衰减方法,首先利用SRME预测得到的多次波记录生成多次波速度谱,然后应用同相轴追踪技术提取多次波同相轴旅行时信息,再通过同相轴优化追踪实现对多次波预测误差的校正,最后应用短时窗的FK滤波对多次波予以压制。该方法仅根据多次波同相轴旅行时信息进行匹配衰减,降低对多次波预测精度的要求,并且能够显著提高多次波压制的精度。理论模型实验与野外资料处理实验结果均表明,该方法的多次波剔除效果明显优于常规的多道维纳滤波方法与抛物线拉冬域蒙版滤波法。

关 键 词:多次波匹配衰减   同相轴优化追踪   短时窗FK滤波   维纳滤波   抛物线拉冬域蒙版滤波
收稿时间:2016-01-06

Multiple matching attenuation method based on optimized event tracing
TAN Jun,LI Jinshan,SONG Peng,WANG Lei,ZHANG Xiaobo and ZHONG Mengxuan. Multiple matching attenuation method based on optimized event tracing[J]. Journal of China University of Petroleum (Edition of Natural Sciences), 2016, 40(6): 40-49
Authors:TAN Jun  LI Jinshan  SONG Peng  WANG Lei  ZHANG Xiaobo  ZHONG Mengxuan
Affiliation:College of Marine Geo-sciences, Ocean University of China,Qingdao 266100,China;Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;Key Lab of Submarine Geosciences and Prospecting Techniques Ministry of Education,Ocean University of China,Qingdao 266100,China,College of Marine Geo-sciences, Ocean University of China,Qingdao 266100,China;Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;Key Lab of Submarine Geosciences and Prospecting Techniques Ministry of Education,Ocean University of China,Qingdao 266100,China,College of Marine Geo-sciences, Ocean University of China,Qingdao 266100,China;Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;Key Lab of Submarine Geosciences and Prospecting Techniques Ministry of Education,Ocean University of China,Qingdao 266100,China,College of Marine Geo-sciences, Ocean University of China,Qingdao 266100,China,College of Marine Geo-sciences, Ocean University of China,Qingdao 266100,China and College of Marine Geo-sciences, Ocean University of China,Qingdao 266100,China
Abstract:The paper introduces a multiple matching attenuation method based on optimized event tracing. Firstly, the method uses multiple data predicted by SRME to generate multiple velocity spectrum, then gets travel time information of multiple event by event tracing technique. An optimized tracing is used to correct the errors of predicted multiples and then a short-time FK fan filtering is applied to attenuate the multiples. The matching attenuation is based only on travel time information of multiple, thus it can lower the requirement in the multiple prediction precision to a certain extent. Meanwhile, optimized event tracing can significantly improve the accuracy of multiple elimination. Model simulations and field tests show that the method has better multiple eliminating effect than conventional multi-channel Wiener filter methods and the mask filtering methods in parabola Radon domain.
Keywords:multiple matching attenuation   event optimized tracing   short-time window FK filtering   Wiener filtering   mask filtering in parabola Radon domain
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