Blended noise suppression based on seislet transform and multi-step median filter

PreviousNext No AccessInternational Geophysical Conference, Beijing, China, 24-27 April 2018Blended noise suppression based on seislet transform and multi-step median filterAuthors: Lieqian DongMugang ZhangChanghui WangHongguang FanLianbin JiangLieqian DongBGP, CNPCSearch for more papers by this author, Mugang ZhangBGP, CNPCSearch for more papers by this author, Changhui WangBGP, CNPCSearch for more papers by this author, Hongguang FanBGP, CNPCSearch for more papers by this author, and Lianbin JiangBGP, CNPCSearch for more papers by this authorhttps://doi.org/10.1190/IGC2018-031 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Independent simultaneous sweep (ISS) technique (Howe et al., 2008) has emerged as a promising way of significantly increasing the efficiency of seismic acquisition. However, there will exist a large challenge of severe interference noise and decrease the signal to noise (S/N) ratio. Therefore, with today's processing practices, the success of ISS acquisition relies heavily on the effectiveness of deblending to separate signals from simultaneous sources. In the paper, we proposed a blended noise suppression approach based on seislet transform and multi-step median filter. Firstly, the large step median filter and seislet domain threshold de-noising are utilized to obtain the initial de-blended result. Then, we can get the residual energy by subtracting the original blended data and the pseudo de-blended data of the initial de-blended result through a blending operator. Following, a median filter is re-used to extract the remained effective signal. Finally, the de-blended data is derived by adding the remained effective signal and the above saved de-blended data until the S/N ratio satisfies the desired one. We demonstrate through a simulated field marine dataset the effectiveness of the approach. Keywords: noise, acquisition, numericalPermalink: https://doi.org/10.1190/IGC2018-031FiguresReferencesRelatedDetails International Geophysical Conference, Beijing, China, 24-27 April 2018ISSN (online):2159-6832Copyright: 2018 Pages: 1821 publication data© 2018 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Dec 2018 CITATION INFORMATION Lieqian Dong, Mugang Zhang, Changhui Wang, Hongguang Fan, and Lianbin Jiang, (2018), "Blended noise suppression based on seislet transform and multi-step median filter," SEG Global Meeting Abstracts : 123-126. https://doi.org/10.1190/IGC2018-031 Plain-Language Summary KeywordsnoiseacquisitionnumericalPDF DownloadLoading ...