Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《应用地球物理(英文版)》 2011-04
Add to Favorite Get Latest Update

Seismic data denoising based on mixed time-frequency methods

Cai Han-Peng 2 , He Zhen-Hua 1,2 , and Huang De-Ji 21. State Key Lab of Oil and Gas Reservoir Geology and Exploitation of Chengdu University of Technology, Chengdu 610059, China. 2. Geophysics Institution of Chengdu University of Technology, Chengdu 610059, China.  
Deconvolution denoising in the f-x domain has some defects when facing situations like complicated geology structure, coherent noise of steep dip angles, and uneven spatial sampling. To solve these problems, a new filtering method is proposed, which uses the generalized S transform which has good time-frequency concentration criterion to transform seismic data from the time-space to time-frequency-space domain (t-f-x). Then in the t-f-x domain apply Empirical Mode Decomposition (EMD) on each frequency slice and clear the Intrinsic Mode Functions (IMFs) that noise dominates to suppress coherent and random noise. The model study shows that the high frequency component in the first IMF represents mainly noise, so clearing the first IMF can suppress noise. The EMD filtering method in the t-f-x domain after generalized S transform is equivalent to self-adaptive f-k filtering that depends on position, frequency, and truncation characteristics of high wave numbers. This filtering method takes local data time-frequency characteristic into consideration and is easy to perform. Compared with AR predictive filtering, the component that this method filters is highly localized and contains relatively fewer low wave numbers and the filter result does not show over-smoothing effects. Real data processing proves that the EMD filtering method in the t-f-x domain after generalized S transform can effectively suppress random and coherent noise of steep dips.
【Fund】: sponsored by the National Natural Science Foundation of China (Grant No. 41174114);; the National Natural Science Foundation of China and China Petroleum & Chemical Corporation Co-funded Project (No. 40839905)
【CateGory Index】: P631.4
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 2 Hits
1 BA Jing, LU Minghui, YANG Huizhu(Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China);Zero-crossing filter based on wavelet analysis for seismic denoising[J];Journal of Tsinghua University(Science and Technology);2007-02
2 Shen Hong-yan1,2 and Li Qing-chun2. 1.Institute of Oil & Gas Resources, Xi’an University of Petroleum, Xi’an City, Shaanxi Province, 710065, China2.College of Geology Engineering and Geomatics, Chang An University, Xi’an City, Shaanxi Province, 710054, China;SVD (singular value decomposition) seismic wave field noise elimination in frequency domain[J];Oil Geophysical Prospecting;2010-02
【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 SHEN Hong-yan1,2(1.School of Earth Science and Engineering,Xi'an Shi You University,Xi'an 710065,China; 2.Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences,Wuhan 430074,China);Seismic data processing for Ordos basin with wave fields separation and denoising via SVD[J];Progress in Geophysics;2012-05
2 SHEN Hong-yan1,2,LI Qing-chun3(1.School of Petroleum Resources,Xi'an Shiyou University,Xi'an 710065,China;2.Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education,China University of Geosciences,Wuhan 430074,China;3.College of Geology Engineering and Geometics,Chang'an University,Xi'an 710054,China);Seismic wave field separation and denoising in linear domain via singular value decomposition(SVD)[J];Journal of China Coal Society;2012-04
3 HU Yong-quan,YIN Cheng,PAN Shu-lin,WU Fu-rong,LI Ya-lin,LIU Yu-hai(First Authors Address:School of Resources and Environment Engineering,Southwest Petroleum University,Chengdu610500,Sichuan,China);Denoising Method for Microseismic Data Based on Single-channel SVD[J];Journal of Oil and Gas Technology;2013-04
4 Zhang Yinxue1 and Tian Xuemin1.1.College of Information and Control Engineering,China University of Petroleum(East China),Qingdao,Shandong 266580,China;Seismic denoising based on the modified particle swarm optimization-independent component analysis[J];Oil Geophysical Prospecting;2012-01
5 Yuan Sanyi and Wang Shangxu State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum,Beijing 102249,China;A local f-x Cadzow method for noise reduction of seismic data obtained in complex formations[J];石油科学(英文版);2011-03
6 Shen Hongyan1,2 and Li Qingchun3.1.School of Earth Sciences and Engineering,Xi'an Shiyou University,Xi'an,Shaanxi 710065,China2.Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education,China University of Geosciences(Wuhan),Wuhan,Hubei 430074,China3.College of Geology Engineering and Geometrics,Chang'an University,Xi'an,Shaanxi 710054,Chin;Seismic wavefield separation and denoising for P-P wave and P-S wave by singular value decomposition(SVD)[J];Oil Geophysical Prospecting;2012-05
7 LU Ze-yuan1,CAI Ti-jing1,ZHOU Jian-xin2(1.School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China;2.China Aero Geophysical Survey & Remote Sensing Center for Land and Resources,Beijing 100083,China);Gravity signal processing method based on cascaded filter[J];Journal of Chinese Inertial Technology;2009-02
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 LIU Bao-tong,ZHU Guang-ming (Dept.of Geology and Environment Engineering,Xi' an University of Science & Technology,Xi' an 710054,China);Orthogonal decomposition approach of seismic data and its application[J];Progress In Geophysics;2005-03
2 ZONG TAO; MENG HONG-YING; JIA YU-LAN; LIU GUI-ZHONG(Institute of Information Engineering, School of Electronics and Information Enginering Xi'an Jiaotong University, Xi'an 710049, China );DENOISING METHOD BASED ON WAVELET PACKET AND FORWARD-BACKWARD PREDICTION IN F-X DOMAIN[J];Chinese Journal of Geophysics;1998-S1
3 Chen Zunde(Dept of Geophysical Exploration, JPI);Dip-scanning Stacking Method on Basis of Singular Value Decomposition[J];Journal of Jianghan Petroleum Institute;1992-01
4 FU Yan (Dept.of Computer,Xi′an University of Science & Technology,Xi′an 710054,China);A new method of removing strong energy random noises in seismic data processing[J];Coal Geology & Exploration;2003-05
5 LI Wen-jie, WEI Xiu-cheng, LIU Yang, WU Chang-Jiang, ZHANG Chao-feng(CNPC Geophysical Key Lab, University of Petroleum, Beijing 102249, China;Research Institute of Petroleum Exploration and Development, Henan Oilfield Company ,Sinopec, Henan 473132, China);Application of SVD filtering in the processing of decaying direct wave and refracted wave[J];Petroleum Exploration and Development;2004-05
6 Chen Zunde; Duan Tianyou and Zhu Guangsheng(Jianghan Petroleum College, Jiangling County, Hubei Province, Postcode: 434102);Improvement of singular-value decomposition filtering and the application[J];Oil Geophysical Prospecting;1994-06
7 Lu Wenkai and Mou Yongguang. (Department of Earth Science, Petroleum University, P. O. Box 902 College road, Beijing City, Postcode:100083);An improved SVD filter[J];Oil Geophysical Prospecting;1996-05
8 Liu Bao - tong and Zhu Guang-ming Apartment House No. 5,Room 301, Xi'an University of Science & Technology, Xi'an City,Shanxi Province ,710054,China;Fast KL filtering of seismic data by self-organizing neural networks approach[J];Oil Geophysical Prospecting;2005-06
9 Zhan Yi and Zhao Bo.Post-Doctor Science Research Station of BGP,Zhuozhou City,Hebei Province,072751,China;Improvement of suppressing linear interference by automatically tracing SVD[J];Oil Geophysical Prospecting;2008-02
10 Xu Boxun,Bai Yingfu,Bai Xnbin,Sun Yin (Beijing Computer Centre,MGMR,Beijing 100083) Zhau Jingxuan (China University of Geoseiences, Beijing 100083);APPLICATION OF SINGULAR VALUE DECOMPOSITION (SVD) TO VSP[J];Geophysical Prospecting For Petrole;1993-03
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved