Multiples Elimination to enhance Seismic Imaging for Safe Wind Farm Establishment: A case study from Baltic Sea

Multiples Elimination to enhance Seismic Imaging for Safe Wind Farm Establishment: A case study from Baltic Sea | 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 Article Multiples Elimination to enhance Seismic Imaging for Safe Wind Farm Establishment: A case study from Baltic Sea Eslam Roshdy, Walid Mabrouk, Ahmed Metwally This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5347165/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The primary objective of this paper is to eliminate the effect of multiples on seismic data using different multiple attenuation techniques, ultimately enhancing seismic imaging for the establishment of wind farms in the study area. Seismic reflection data processing is a highly effective method for detecting potential hazards such as mines and shallow gas bubbles, making it crucial for environmental hazard assessments. In this study, multiple elimination methods were combined to attenuate different types of multiples in 2D raw shallow marine seismic data from the Baltic Sea region. The demultiple workflow combined several robust techniques: Surface-Related Multiple Elimination (SRME), Tau-P deconvolution, high-resolution (HR) radon demultiple, and Common Depth Point (CDP) stacking. SRME was used to remove surface-related multiples by subtracting predicted multiple models from the seismic data, followed by Tau-P deconvolution to attenuate short-period multiples. HR radon demultiple was then employed to attenuate any remaining multiples, which could not be eliminated by previous methods, and finally, CDP stacking of normal moveout-corrected data was applied to improve the alignment of primary reflections and eliminate non-aligned multiples. The improvement in data quality was not solely due to the individual demultiple techniques but from their integration. Each method addresses specific types of multiples and noise, and the combined workflow ensures the optimal suppression of unwanted energy without losing important seismic signal. The final stacked seismic section showed significant improvement in image clarity, confirming the absence of predicted mines or shallow gas bubbles beneath the surface. Based on these findings, the study concludes that the area is suitable for wind farm construction. Earth and environmental sciences/Solid earth sciences/Geophysics Earth and environmental sciences/Solid earth sciences/Seismology Multiples Surface-related multiple eliminations (SRME) Tau-P deconvolution High-resolution Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-5347165","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":384545657,"identity":"df940bf8-d611-4037-a3be-36b625b1d679","order_by":0,"name":"Eslam Roshdy","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAUlEQVRIiWNgGAWjYFAC5gYILcFgwPDxnw2IQQgwIrQwzmBLI1ELMw/bYcJa+PkPNn66wXBPTn528zZpHp7zif2zmw8+YKixicalRXJGYrN0DkOxscGdY2WScyRuJ864cyzZgOFYWm4DDi0GNxgbgFoSEjdI5JhJvDG4ndhwA8hgbDiMU4v9+YPNv0Fa5s8AquRJOJc4n5AWA4bENrAtIMMleQ4cSNxASIvEjcQ2a6AWY4MbacWWMxuSjTfeSEs2SMDjF/7+w4dvA7XIyc9I3njjY4Od7LwbyQcffKixwakFDBj/gSkWUIw4glUm4FOOBJg/AAl7IhWPglEwCkbBCAIAahxeVrnOziEAAAAASUVORK5CYII=","orcid":"","institution":"Geophysics Department, Faculty of Science, Cairo University","correspondingAuthor":true,"prefix":"","firstName":"Eslam","middleName":"","lastName":"Roshdy","suffix":""},{"id":384545658,"identity":"d5d63f30-9641-45ef-b53a-476106ec4dd8","order_by":1,"name":"Walid Mabrouk","email":"","orcid":"","institution":"Geophysics Department, Faculty of Science, Cairo University","correspondingAuthor":false,"prefix":"","firstName":"Walid","middleName":"","lastName":"Mabrouk","suffix":""},{"id":384545659,"identity":"7efd1850-0758-401c-934a-5608f53da1d0","order_by":2,"name":"Ahmed Metwally","email":"","orcid":"","institution":"Geophysics Department, Faculty of Science, Cairo University","correspondingAuthor":false,"prefix":"","firstName":"Ahmed","middleName":"","lastName":"Metwally","suffix":""}],"badges":[],"createdAt":"2024-10-28 12:38:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5347165/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5347165/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72864567,"identity":"d7b55005-ab99-4257-b599-761bfeea4cb3","added_by":"auto","created_at":"2025-01-03 05:01:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1652876,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5347165/v1_covered_dded0fa5-f9e8-4df7-9856-9bcd09d70f93.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Multiples Elimination to enhance Seismic Imaging for Safe Wind Farm Establishment: A case study from Baltic Sea","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Multiples, Surface-related multiple eliminations (SRME), Tau-P deconvolution, High-resolution","lastPublishedDoi":"10.21203/rs.3.rs-5347165/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5347165/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe primary objective of this paper is to eliminate the effect of multiples on seismic data using different multiple attenuation techniques, ultimately enhancing seismic imaging for the establishment of wind farms in the study area. Seismic reflection data processing is a highly effective method for detecting potential hazards such as mines and shallow gas bubbles, making it crucial for environmental hazard assessments. In this study, multiple elimination methods were combined to attenuate different types of multiples in 2D raw shallow marine seismic data from the Baltic Sea region. The demultiple workflow combined several robust techniques: Surface-Related Multiple Elimination (SRME), Tau-P deconvolution, high-resolution (HR) radon demultiple, and Common Depth Point (CDP) stacking. SRME was used to remove surface-related multiples by subtracting predicted multiple models from the seismic data, followed by Tau-P deconvolution to attenuate short-period multiples. HR radon demultiple was then employed to attenuate any remaining multiples, which could not be eliminated by previous methods, and finally, CDP stacking of normal moveout-corrected data was applied to improve the alignment of primary reflections and eliminate non-aligned multiples. The improvement in data quality was not solely due to the individual demultiple techniques but from their integration. Each method addresses specific types of multiples and noise, and the combined workflow ensures the optimal suppression of unwanted energy without losing important seismic signal. The final stacked seismic section showed significant improvement in image clarity, confirming the absence of predicted mines or shallow gas bubbles beneath the surface. 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