Seismic linear noise attenuation based on the lateral random reorder

Seismic linear noise attenuation based on the lateral random reorder | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Seismic linear noise attenuation based on the lateral random reorder Zhipeng Huan, Zhou Xie, Yaoguang Sun, Jianxiang Feng, Yingchang Cao, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7985162/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 6 You are reading this latest preprint version Abstract Linear noise attenuation is a troublesome problem in various seismic exploration areas, especially weak-energy linear noise. Traditional methods often use the differences in frequency or apparent velocity to separate the signal and linear noise. However, the application is limited when the aforementioned differences between signal and linear noise characteristics are too small to be distinguished. For this reason, we proposed a lateral random reorder method, where the proposed method flattens the linear events using the rotating coordinate system and performs a lateral random reorder for each time point. Because of the random reorder, events with different apparent velocities from the linear noise are disrupted as randomized outliers, which significantly amplifies the difference between the linear noise and other signals. Applications to synthetic and field data visually and quantitatively confirmed the superiority and the robustness of the proposed method, which can effectively suppress linear noise and reduce the loss of effective signals. linear noise signal-noise difference rotating coordinate lateral random reorder Full Text Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Major revisions 29 Jan, 2026 Reviewers agreed at journal 17 Dec, 2025 Reviewers invited by journal 20 Nov, 2025 Editor invited by journal 12 Nov, 2025 First submitted to journal 03 Nov, 2025 Editor assigned by journal 01 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7985162","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":548245036,"identity":"ece6ae7a-c4b4-460f-a08c-fcf6233032c4","order_by":0,"name":"Zhipeng Huan","email":"","orcid":"","institution":"China University of Petroleum East China","correspondingAuthor":false,"prefix":"","firstName":"Zhipeng","middleName":"","lastName":"Huan","suffix":""},{"id":548245037,"identity":"cefda20d-557e-4fef-aea7-7d9701a9c365","order_by":1,"name":"Zhou Xie","email":"","orcid":"","institution":"Petrochina Tarim Oilfield 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