首页 | 本学科首页   官方微博 | 高级检索  
     检索      

叠前三参数非高斯反演方法研究
引用本文:刘洋,张家树,胡光岷,贺振华.叠前三参数非高斯反演方法研究[J].地球物理学报,2012,55(1):269-276.
作者姓名:刘洋  张家树  胡光岷  贺振华
作者单位:1. 西南交通大学信号与信息处理四川省重点实验室, 成都 610031; 2. 电子科技大学宽带光纤传输与通信网技术教育部重点实验室, 成都 611731; 3. 成都理工大学油气藏地质与开发工程国家重点实验室, 成都 610059
基金项目:国家自然科学基金,中央高校基本科研业务费专项资金
摘    要:针对地球物理反演中广泛采用的"噪声高斯分布假设",本文研究了叠前地震资料中噪声的非高斯分布特征,提出了针对非高斯噪声的地震叠前非高斯反演概念和思想,构造了能同时压制高斯和非高斯噪声的混合范数作为反演目标函数,采用改进的Powell算法进行求解,有效地抑制了叠前地震资料中的高斯和非高斯混合噪声.模型试算和实际地震数据的反演结果验证了方法的正确性和算法的可靠性.

关 键 词:叠前反演  非高斯  混合范数  Powell算法  
收稿时间:2011-03-17

Study of three-term non-Gaussian pre-stack inversion method
LIU Yang , ZHANG Jia-Shu , HU Guang-Min , HE Zhen-Hua.Study of three-term non-Gaussian pre-stack inversion method[J].Chinese Journal of Geophysics,2012,55(1):269-276.
Authors:LIU Yang  ZHANG Jia-Shu  HU Guang-Min  HE Zhen-Hua
Institution:1. Sichuan Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031, China; 2. Key Laboratory of Broadband Optical Fiber Transmission and Communication Networks, University of Electronic Science and Technology of China, Chengdu 611731, China; 3. State Key Laboratory of Oil and Gas Reservoir Geology and Exploration, Chengdu University of Technology, Chengdu 610059, China
Abstract:In view of the wide use of the "Gaussian distribution hypothesis of noise" in the geophysical inversion problems,we study the non-Gaussian distribution characteristics of the noises in the pre-stack seismic data.Upon this analysis,the concept of non-Gaussian inversion of pre-stack three-term inversion is put forward,in which the mixed-norm is proposed for suppressing both the Gaussian and non-Gaussian noises.In view of the non-conductivity of the objective function,the Powell algorithm is used to solve the objective function.Model test and real seismic data inversion results show the correctness and reliability of the algorithm.
Keywords:Prestack inversion  Non-Gaussian  Mixed norm  Powell algorithm
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《地球物理学报》浏览原始摘要信息
点击此处可从《地球物理学报》下载免费的PDF全文
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