Improvement of Seismic Image Based on Coordinate Transformation and Incorporation of Anisotropy Factors in Seismic Velocity

Improvement of Seismic Image Based on Coordinate Transformation and Incorporation of Anisotropy Factors in Seismic Velocity | 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 Improvement of Seismic Image Based on Coordinate Transformation and Incorporation of Anisotropy Factors in Seismic Velocity Nabanita Pradhan, Saurabh Datta Gupta This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4846852/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 23 Dec, 2024 Read the published version in Pure and Applied Geophysics → Version 1 posted 9 You are reading this latest preprint version Abstract Imaging and interpreting seismic signatures in the Goru Formation of the Bandha region in the Jaisalmer Sub-basin is challenging due to its complex geological setting, which features significant lateral velocity variations, dipping flanks, steeply inclined reflectors, and overburden strata. This study introduces an innovative polar coordinate velocity-based Reverse Time Migration (RTM) technique with a novel algorithm for reconstructing images of intricate geological structures. A comparative analysis of phase shift migration, cartesian velocity-based RTM, and polar velocity-based RTM reveals that the polar method improves accuracy by utilizing the spherical propagation of seismic waves. The quality of seismic images is influenced by velocity variations, which are determined by the geological properties of the area, with minimal density changes at depth. By incorporating the anisotropic compressional velocity ( \(\:v\) ) of the Goru Formation, along with transformed circumferential velocity ( \(\:{v}_{\theta\:}\) ) and radial velocity ( \(\:{v}_{r}\) ) the study demonstrates significantly enhanced imaging capabilities. Specifically, for steep dips, the circumferential velocity-oriented RTM outperforms both cartesian and radial velocity-based RTM at far angles, while the radial velocity-based RTM shows better performance at near angles. Additionally, conventional cartesian velocity-based RTM provides superior imaging of horst-graben structures compared to phase shift migration. Jaisalmer Sub-basin. Cartesian velocity-based RTM. Polar velocity-based RTM. Phase shift migration. Goru Formation Full Text Additional Declarations Table 1 and 2 are available in the Supplementary Files section. Supplementary Files ListofTables.docx Cite Share Download PDF Status: Published Journal Publication published 23 Dec, 2024 Read the published version in Pure and Applied Geophysics → Version 1 posted Editorial decision: Revision requested 06 Nov, 2024 Reviews received at journal 06 Nov, 2024 Reviewers agreed at journal 24 Oct, 2024 Reviews received at journal 16 Sep, 2024 Reviewers agreed at journal 28 Aug, 2024 Reviewers invited by journal 26 Aug, 2024 Editor assigned by journal 05 Aug, 2024 Submission checks completed at journal 05 Aug, 2024 First submitted to journal 02 Aug, 2024 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-4846852","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":346564369,"identity":"49b9b681-b8a6-496b-a64c-1eb7f32d25a6","order_by":0,"name":"Nabanita Pradhan","email":"","orcid":"","institution":"Indian Institute of Technology Dhanbad","correspondingAuthor":false,"prefix":"","firstName":"Nabanita","middleName":"","lastName":"Pradhan","suffix":""},{"id":346564370,"identity":"21b5fa01-2b8e-4725-aa38-ab21470f0862","order_by":1,"name":"Saurabh Datta Gupta","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABD0lEQVRIiWNgGAWjYFCCBDiL8eHHfzYguvEAAS2MDWAVbAzMxhJsaSAtDURrYZPgYTsMFsOrRb49+fnjDzW1idvlmx9ISPCct1vbfhhoRo1NNC4tBmeeGTYcOHY8cWcbm4FBgcTt5G1nEoFajqXlNuDSIpEA1MJ2LHHDMQaDBAmD28lmB4BaGBsO49QiPyP9Y8OBfyAt7B8O8CScSzY7/xC/FoYbOYYNB9tqgFp4DBt4DhywM7tBwBaDM28KZ5ztO2C8sy2nmFmyITnB7AbQlgQ8fpFvT9/woeJbnex25uPbf35ssLM3O5/+8MGHGhvcDoOAwwwGUFYiWGUCfuUgUAfXYk9Y8SgYBaNgFIw0AAC4rW++Fp+xugAAAABJRU5ErkJggg==","orcid":"","institution":"Indian Institute of Technology Dhanbad","correspondingAuthor":true,"prefix":"","firstName":"Saurabh","middleName":"Datta","lastName":"Gupta","suffix":""}],"badges":[],"createdAt":"2024-08-02 08:25:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4846852/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4846852/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00024-024-03630-w","type":"published","date":"2024-12-23T15:56:57+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":72640603,"identity":"b82cfb00-7c41-46c4-9f9b-2824c06ccbb2","added_by":"auto","created_at":"2024-12-30 16:07:27","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1302175,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4846852/v1_covered_e90e6ec8-ea4d-4556-b595-9176c20dacf0.pdf"},{"id":63596968,"identity":"4fa7e223-bff7-46d5-8be8-03b83893afef","added_by":"auto","created_at":"2024-08-30 04:18:14","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":14949,"visible":true,"origin":"","legend":"","description":"","filename":"ListofTables.docx","url":"https://assets-eu.researchsquare.com/files/rs-4846852/v1/ef54b481198331bed7cc33e7.docx"}],"financialInterests":"\u003cp\u003eTable 1 and 2 are available in the Supplementary Files section.\u003c/p\u003e","formattedTitle":"Improvement of Seismic Image Based on Coordinate Transformation and Incorporation of Anisotropy Factors in Seismic Velocity","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"pure-and-applied-geophysics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"paag","sideBox":"Learn more about [Pure and Applied Geophysics](https://www.springer.com/journal/24)","snPcode":"24","submissionUrl":"https://submission.nature.com/new-submission/24/3","title":"Pure and Applied Geophysics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Jaisalmer Sub-basin. Cartesian velocity-based RTM. Polar velocity-based RTM. Phase shift migration. Goru Formation","lastPublishedDoi":"10.21203/rs.3.rs-4846852/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4846852/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eImaging and interpreting seismic signatures in the Goru Formation of the Bandha region in the Jaisalmer Sub-basin is challenging due to its complex geological setting, which features significant lateral velocity variations, dipping flanks, steeply inclined reflectors, and overburden strata. This study introduces an innovative polar coordinate velocity-based Reverse Time Migration (RTM) technique with a novel algorithm for reconstructing images of intricate geological structures. A comparative analysis of phase shift migration, cartesian velocity-based RTM, and polar velocity-based RTM reveals that the polar method improves accuracy by utilizing the spherical propagation of seismic waves. The quality of seismic images is influenced by velocity variations, which are determined by the geological properties of the area, with minimal density changes at depth. By incorporating the anisotropic compressional velocity (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:v\\)\u003c/span\u003e\u003c/span\u003e) of the Goru Formation, along with transformed circumferential velocity (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{v}_{\\theta\\:}\\)\u003c/span\u003e\u003c/span\u003e) and radial velocity (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{v}_{r}\\)\u003c/span\u003e\u003c/span\u003e) the study demonstrates significantly enhanced imaging capabilities. Specifically, for steep dips, the circumferential velocity-oriented RTM outperforms both cartesian and radial velocity-based RTM at far angles, while the radial velocity-based RTM shows better performance at near angles. 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