利用多次波和二维匹配滤波的近偏移距数据重构方法

doi:10.13278/j.cnki.jjuese.201701302

吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (1): 224-233.doi: 10.13278/j.cnki.jjuese.201701302

利用多次波和二维匹配滤波的近偏移距数据重构方法

孙成禹¹, 谢俊法^1,2, 张立³, 张小美², 李世安¹

1. 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580;
2. 中国石油勘探开发研究院西北分院, 兰州 730020;
3. 中石化江苏油田分公司物探研究院, 南京 210046

收稿日期:2016-07-16 出版日期:2017-01-26 发布日期:2017-01-26
作者简介:孙成禹(1968-),男,教授,博士生导师,主要从事地震波传播理论与波场正演模拟技术、黏弹介质品质因子反演技术等研究工作,E-mail:sydxscy@163.com;谢俊法(1987-),男,博士,主要从事地震资料数字处理、地震勘探理论和方法研究工作,E-mail:xiejunfa2010@163.com
基金资助:
国家自然科学基金项目（41374123）；国家油气专项项目（2016ZX05007-006）

Reconstruction Method of near Offset Data Using Multiples and 2D Matched Filters

Sun Chengyu¹, Xie Junfa^1,2, Zhang Li³, Zhang Xiaomei², Li Shian¹

1. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China;
2. Research Institute of Petroleum Exploration & Development-Northwest, PetroChina, Lanzhou 730020;
3. Geophysical Prospecting Research Institute, JOECO, SINOPEC, Nanjing 210046

Received:2016-07-16 Online:2017-01-26 Published:2017-01-26
Supported by:
Supported bythe National Natural Science Foundation of China (41374123) and the National Special Oil and Gas Foundation of China (2016ZX05007-006)

摘要/Abstract

摘要： 在地震资料采集时,受地表条件、震源等因素的影响,几乎无法采集到近偏移距数据,不利于后续数据的处理。针对这一问题,研究了一种利用多次波和二维匹配滤波的近偏移距数据重构方法。首先给出了由表层多次波构建准一次波的互相关方法；然后在时间-空间滑动窗口内利用准一次波计算二维匹配滤波器,并用该滤波器重构近偏移距数据；最后使用均方根振幅校正方法校正重构数据的振幅。整个数据重构的过程在频率域进行,避免了基于维纳滤波方法求取滤波器的大量计算；同时使用快速傅里叶变换算法,提高了计算效率。与一维匹配滤波的近偏移距重构方法相比,采用二维匹配滤波方法的重构数据在空间上连续性更好。通过对Sigsbee 2B数据的处理及实际资料的测试,验证了该方法的正确性和有效性。

关键词: 表层多次波, 二维匹配滤波, 数据重构, 近偏移距, 均方根振幅校正

Abstract: In seismic data acquisition, it is always difficult to collect near offset data due to the influences of surface conditions, source and so on, affecting the follow-up data processing. We proposed a reconstruction method of near offset using multiples and two dimensional matched filters to solve the problem. First, we constructed pseudo primaries from surface-related multiples with cross-correlation method. Then we computed matched filters from the pseudo primaries and reconstruct near offset using the filters in time and space window. Finally, root mean square amplitude correction method was used to correct the amplitude of reconstruction data. The reconstruction process was designed in frequency domain to avoid large amount of calculation based on Wiener filtering method to get the matched filters, the computational efficiency was improved by using fast Fourier transform algorithm. The spatial continuity of the data reconstructed by two dimensional matched filters is better than that of one dimensional matched filters. We proved the correctness and effectiveness of the method by testing on Sigsbee 2B data and real seismic data.

Key words: surface-related multiple reflections, two dimensional matched filters, data reconstruction, near offset, root-mean-square amplitude correction

中图分类号:

P631.4

孙成禹, 谢俊法, 张立, 张小美, 李世安. 利用多次波和二维匹配滤波的近偏移距数据重构方法[J]. 吉林大学学报(地球科学版), 2017, 47(1): 224-233.

Sun Chengyu, Xie Junfa, Zhang Li, Zhang Xiaomei, Li Shian. Reconstruction Method of near Offset Data Using Multiples and 2D Matched Filters[J]. Journal of Jilin University(Earth Science Edition), 2017, 47(1): 224-233.

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利用多次波和二维匹配滤波的近偏移距数据重构方法

Reconstruction Method of near Offset Data Using Multiples and 2D Matched Filters

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