首页 | 本学科首页   官方微博 | 高级检索  
     

地震叠前线性干扰自动识别和压制技术
引用本文:许胜利,林正良,费永涛,刘宇.地震叠前线性干扰自动识别和压制技术[J].油气地质与采收率,2005,12(2):36-37.
作者姓名:许胜利  林正良  费永涛  刘宇
作者单位:河南油田分公司石油勘探开发研究院
摘    要:针对叠前地震数据中的线性干扰噪声,首先分析和识别各组线性干扰波的频带范围及视速度范围,通过分频 处理从地震记录中自动分离线性干扰所在频带范围的信号分量,然后采用线性干扰视速度扫描和空间域噪音剔除 法迭代求解线性相干噪声。新的线性干扰压制方法与传统方法相比,其优势在于干扰压制较彻底,对有效反射没 有明显损害,使地震叠加剖面的质量得到一定的改善。此技术在河南油田的叠前处理中得到了广泛的应用。

关 键 词:线性干扰  自动识别  分频  预测
文章编号:1009-9603(2005)02-0036-02
修稿时间:2004年8月29日

New technology of automatic identification and suppression of linear disturbance on seismic pre -stack
Xu Shengli,Petroleum Exploration and Devlopment Research Institute of Henan Oilfield Company,Henan Province,ChinaLin Zhengliang,Fei Yongtao et al..New technology of automatic identification and suppression of linear disturbance on seismic pre -stack[J].Petroleum Geology and Recovery Efficiency,2005,12(2):36-37.
Authors:Xu Shengli  Petroleum Exploration and Devlopment Research Institute of Henan Oilfield Company  Henan Province    ChinaLin Zhengliang  Fei Yongtao
Affiliation:Xu Shengli,Petroleum Exploration and Devlopment Research Institute of Henan Oilfield Company,Henan Province,473132,ChinaLin Zhengliang,Fei Yongtao et al.
Abstract:Aiming at linear disturbing noise in the pre-stack seismic data, the ranges of the frequency-band and apparent velocity in every group were analyzed and identified first, the sign-component in the range of frequency-band of linear disturbance wave was automatically separated from the seismic records by the frequency division processing. Then using apparent velocity to scan the linear disturbance wave and the method of noise -weeding in space domain seek the linear coherent noise. Comparing with traditional method, obvious advantage of the new method of linear disturbance and suppression consists in suppressing disturbance more thorough without obvious damage for effective reflection and improving the quantity of seismic stacked profile. This technique was applied extensively in the prestack processing of Henan oilfield.
Keywords:linear disturbance  automatic identification  frequency division  forecast
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号