多子波动校正

doi:10.7523/j.issn.2095-6134.2018.05.015

中国科学院大学学报 ›› 2018, Vol. 35 ›› Issue (5): 681-688.DOI: 10.7523/j.issn.2095-6134.2018.05.015

多子波动校正

林禄春¹, 解孟雨¹, 史保平¹, 安平²

1. 中国科学院大学地球科学学院, 北京 100049;
2. 杰奥世博(北京)技术有限公司, 北京 100102

收稿日期:2017-05-18 修回日期:2017-07-11 发布日期:2018-09-15
通讯作者: 林禄春
基金资助:
国家国际科技合作专项（2015DFA21260）和中国科学院创新团队项目（KZZD-EW-TZ-19）资助

Multi-wavelet NMO correction

LIN Luchun¹, XIE Mengyu¹, SHI Baoping¹, AN Ping²

1. College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
2. GeoCyber Solutions Inc., Beijing 100102, China

Received:2017-05-18 Revised:2017-07-11 Published:2018-09-15

摘要/Abstract

摘要： 动校正在传统地震数据处理中是基于移动样点来实现的，这导致隐含于地震道中的子波拉伸畸变现象，降低分辨率。提出多子波动校正方法，可以消除这种拉伸影响。多子波动校正，先利用多子波分解技术把地震数据分解成一系列子波，以子波代替样点为处理单元，再根据动校正理论，校正整个子波。因而，可有效地避免子波拉伸畸变，提高分辨率。通过两个合成地震图的例子和实际数据资料处理，比较传统动校正与多子波动校正的结果，论证多子波动校正的优势。

关键词: 动校正, 多子波分解, 多子波动校正

Abstract: The conventional normal moveout (NMO) correction that processes the seismic data sample-by-sample results in the well-known decrease in frequency content and amplitude distortion through stretch, which lowers the seismic resolution. This work proposes multi-wavelet NMO correction to reduce NMO-stretch effects. Multi-wavelet NMO corrects the data wavelet-by-wavelet rather than sample-by-sample. With the multi-wavelet decomposition technique, a seismic trace is decomposed into a series or a set of wavelets. Multi-wavelet NMO correction is implemented on a wavelet-by-wavelet basis. The moveout is applied to these wavelets to avoid stretch and maintain the seismic resolution. We test the algorithm on two synthetic models and a 2D real seismic section, and compare our results with those obtained using conventional NMO.

Key words: NMO correction, multi-wavelet decomposition, multi-wavelet NMO correction

中图分类号:

P631.4

林禄春, 解孟雨, 史保平, 安平. 多子波动校正[J]. 中国科学院大学学报, 2018, 35(5): 681-688.

LIN Luchun, XIE Mengyu, SHI Baoping, AN Ping. Multi-wavelet NMO correction[J]. , 2018, 35(5): 681-688.

参考文献

[1] 何现启, 朱自强. 地震资料动校正拉伸畸变分析及处理方法[C]//中国地质学会, 中国金属学会.当代矿山地质地球物理新进展. 三亚, 2004:423-429.
[2] Buchholtz H. A note on signal distortion due to dynamic (NMO) corrections[J]. Geophysical Prospecting, 1972, 20(2):395-402.
[3] Dunkin J W, Levin F K. Effect of normal moveout on a seismic pulse[J]. Geophysics, 2012, 38(4):635-642.
[4] Rupert G B, Chun J H. The block move sum normal moveout correction[J]. Geophysics, 1975, 40(1):17-24.
[5] Shatilo A, Aminzadeh F. Constant normal-moveout (CNMO) correction:a technique and test results[J]. Geophysical Prospecting, 2000, 48(3):473-488.
[6] Perroud H, Tygel M. Nonstretch nmo[J]. Geophysics, 2004, 69(2):599-607.
[7] Masoomzadeh H, Barton P J, Singh S C. Nonstretch moveout correction of long-offset multichannel seismic data for subbasalt imaging:example from the North Atlantic[J]. Geophysics, 2010, 75(4):R83-R91.
[8] Zhang B, Zhang K, Guo S, et al. Nonstretching NMO correction of prestack time-migrated gathers using a matching-pursuit algorithm[J]. Geophysics, 2013, 78(1):U9-U18.
[9] Yang X, Cao S, Liu Q, et al. A modified nonstretching NMO correction using matching-pursuit algorithm[C]//SEG Technical Program Expanded Abstracts 2014. Society of Exploration Geophysicists, 2014:517-521.
[10] Biondi E, Stucchi E, Mazzotti A. Nonstretch normal moveout through iterative partial correction and deconvolution[J]. Geophysics, 2014, 79(4):V131-V141.
[11] Abedi M M, Riahi M A. Nonhyperbolic stretch-free normal moveout correction[J]. Geophysics, 2016, 81(6):U87-U95.
[12] 赵波, 史政军. 消除动校正拉伸影响的方法[J]. 石油地球物理勘探, 1995, 30(3):417-421.
[13] 夏洪瑞, 葛川庆, 邹少峰. 动校拉伸现象分析及其消除[J]. 石油物探, 2005, 44(3):220-224.
[14] 尤建军, 常旭. 长偏移距地震数据非双曲无拉伸动校正[C]//中国地球物理学会年会. 中国地球物理学会第二十一届年会论文集.长春,2005:645.
[15] 崔宝文, 王维红. 频谱代换无拉伸动校正方法研究[J]. 地球物理学进展, 2007,22(3):960-965.
[16] 黄文锋, 李宏兵, 姚逢昌,等. 子波拉伸校正[J]. 地球物理学进展, 2011,26(5):1642-1651.
[17] 施剑, 吴志强, 刘江平,等. 动校正拉伸分析及处理方法[J]. 海洋地质与第四纪地质, 2011(4):187-194.
[18] 陈鑫, 王德利, 孟阁阁. 基于匹配追踪算法的非拉伸速度无关动校正[C]//中国地球物理学会, 中国地质学会. 2014年中国地球科学联合学术年会论文集. 北京, 2014:1179.
[19] 孙成禹, 谢俊法, 闫月锋,等. 一种无拉伸畸变的动校正方法[J]. 石油物探, 2016, 55(5):664-673.
[20] Dix C H. Seismic velocities from surface measurements[J]. Geophysics, 1955, 20(1):68-86.
[21] An P. Application of multi-wavelet seismic trace decomposition and reconstruction to seismic data interpretation and reservoir characterization[C]//SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006:973-977.
[22] Lin L, Shi B, An P. Multiwavelet prestack Kirchhoff migration[J]. Geophysics, 2016, 81(3):S79-S85.
[23] Chen S S, Donoho D L, Saunders M A. Atomic decomposition by basis pursuit[J]. SIAM review, 2001, 43(1):129-159.
[24] Zhang R, Castagna J. Seismic sparse-layer reflectivity inversion using basis pursuit decomposition[J]. Geophysics, 2011, 76(6):R147-R158.
[25] Zhang R, Sen M K, Srinivasan S. A prestack basis pursuit seismic inversion[J]. Geophysics, 2013, 78(1):R1-R11.
[26] Gondzio J. Interior point methods 25 years later[J]. European Journal of Operational Research, 2012, 218(3):587-601.
[27] Gill P R, Wang A, Molnar A. The In-Crowd Algorithm for Fast Basis Pursuit Denoising[J]. IEEE Transactions on Signal Processing, 2011, 59(10):4595-4605.
[28] Chen H, Cao S, Yuan S, et al. Nonstationary sparse deconvolution with the SPGL1 algorithm[C]//International Geophysical Conference, Qingdao, China, 17-20 April 2017. Society of Exploration Geophysicists and Chinese Petroleum Society, 2017:194-197.
[29] Ricker N. The form and laws of propagation of seismic wavelets[J]. Geophysics, 1953, 18(1):10-40.
[30] 杨培杰, 印兴耀. 地震子波提取方法综述[J]. 石油地球物理勘探, 2008, 43(1):123-130.
[31] 黄跃, 许多, 文雪康. 多子波分解与重构中子波的优选[J]. 石油物探, 2013, 52(1):17-22.

多子波动校正

Multi-wavelet NMO correction

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

访问统计

联系我们

[1]	陈可洋, 吴沛熹, 张德新, 杨微. 沙漠区起伏地表地震波正演模拟与资料处理[J]. 中国科学院大学学报, 2014, 31(6): 799-805.
[2]	陈可洋. 倾斜界面绕射波时距曲线特征及其应用[J]. 中国科学院大学学报, 2011, 28(2): 202-209.