Application of Wavelet Transform-Based Seismic Frequency Division Geological Sweet Spots Prediction Technology in Tight Sandstone Gas Reservoirs

Application of Wavelet Transform-Based Seismic Frequency Division Geological Sweet Spots Prediction Technology in Tight Sandstone Gas Reservoirs | 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 Application of Wavelet Transform-Based Seismic Frequency Division Geological Sweet Spots Prediction Technology in Tight Sandstone Gas Reservoirs Mingsheng Tong, Hongxi Li, Tingting Huang, Pengxi Luo, Zhuzheng Li, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7739322/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 12 You are reading this latest preprint version Abstract The Lower Jurassic Ahe Formation tight sandstone gas reservoir in the eastern Dibei area of the Kuqa Depression exhibits significant resource potential, serving as a key replacement target for increasing gas reserves and production in the Tarim Basin. Drilling data from the Kuqa Depression indicate that high-productivity wells commonly develop high-angle structural fractures, a phenomenon that aligns with the fracture development patterns observed in the Cenozoic fault propagation folds of the eastern Kuqa Depression. However, due to the complex formation mechanisms of fault-fracture systems influenced by multi-phase tectonic movements, exExisting seismic prediction techniques demonstrate limited consistency with actual drilling outcomes, significantly impeding exploration and development advancements. In response to the technical challenge, this study introduces an innovative approach: a multi-scale fracture prediction method that leverages wavelet transform for seismic frequency division. This method employs wavelet transform to decompose images into mid-low and high-frequency components, subsequently utilizing coherence attributes and most-positive curvature illumination to enhance the data volumes. attribute calculations, achieving spatial characterization and prediction of fault-fracture systems at different scales. Application results demonstrate that: (1) Based on mid-low frequency divided amplitude data, the imaging quality of Class Ⅲ faults in the high structural position of the Dibei area is significantly improved, with clear spatial distribution characteristics showing a near east-west trend; (2) Fracture prediction using high-frequency divided amplitude data reveals the development of high-angle structural fractures in the eastern flank of the structure, forming a fault-fracture zone favorable for future rolling development. The technology has been successfully applied in two new wells in the Ahe Formation of the Dibei area, achieving 100% accuracy in large-scale fault prediction and 85% accuracy in medium- to small-scale fracture prediction, while effectively guiding engineering risk warnings. The research results demonstrate that this method provides important practical guidance for well placement optimization and safe drilling in tight gas reservoirs within complex structural areas. Physical sciences/Energy science and technology Physical sciences/Engineering Earth and environmental sciences/Natural hazards Earth and environmental sciences/Solid earth sciences tight sandstone gas wavelet transform seismic frequency division processing multi-scale fracture prediction well placement safe drilling Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 20 Jan, 2026 Reviews received at journal 19 Jan, 2026 Reviews received at journal 07 Jan, 2026 Reviewers agreed at journal 07 Jan, 2026 Reviews received at journal 23 Dec, 2025 Reviewers agreed at journal 21 Dec, 2025 Reviewers agreed at journal 21 Dec, 2025 Reviewers invited by journal 10 Dec, 2025 Editor assigned by journal 10 Dec, 2025 Editor invited by journal 10 Dec, 2025 Submission checks completed at journal 23 Nov, 2025 First submitted to journal 23 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-7739322","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":559709869,"identity":"ead86670-9c03-455e-811e-7d47e6b64471","order_by":0,"name":"Mingsheng Tong","email":"","orcid":"","institution":"Geological Exploration and Development Research Institute of CNPC Chuanqing Drilling Engineering Company Limited","correspondingAuthor":false,"prefix":"","firstName":"Mingsheng","middleName":"","lastName":"Tong","suffix":""},{"id":559709870,"identity":"3cbc5db3-b5a3-4cd0-a922-d35f9560f008","order_by":1,"name":"Hongxi 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Sweet Spots Prediction Technology in Tight Sandstone Gas Reservoirs","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"tight sandstone gas, wavelet transform, seismic frequency division processing, multi-scale fracture prediction, well placement, safe drilling","lastPublishedDoi":"10.21203/rs.3.rs-7739322/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7739322/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe Lower Jurassic Ahe Formation tight sandstone gas reservoir in the eastern Dibei area of the Kuqa Depression exhibits significant resource potential, serving as a key replacement target for increasing gas reserves and production in the Tarim Basin. Drilling data from the Kuqa Depression indicate that high-productivity wells commonly develop high-angle structural fractures, a phenomenon that aligns with the fracture development patterns observed in the Cenozoic fault propagation folds of the eastern Kuqa Depression. However, due to the complex formation mechanisms of fault-fracture systems influenced by multi-phase tectonic movements, exExisting seismic prediction techniques demonstrate limited consistency with actual drilling outcomes, significantly impeding exploration and development advancements. In response to the technical challenge, this study introduces an innovative approach: a multi-scale fracture prediction method that leverages wavelet transform for seismic frequency division. This method employs wavelet transform to decompose images into mid-low and high-frequency components, subsequently utilizing coherence attributes and most-positive curvature illumination to enhance the data volumes. attribute calculations, achieving spatial characterization and prediction of fault-fracture systems at different scales. Application results demonstrate that: (1) Based on mid-low frequency divided amplitude data, the imaging quality of Class Ⅲ faults in the high structural position of the Dibei area is significantly improved, with clear spatial distribution characteristics showing a near east-west trend; (2) Fracture prediction using high-frequency divided amplitude data reveals the development of high-angle structural fractures in the eastern flank of the structure, forming a fault-fracture zone favorable for future rolling development. The technology has been successfully applied in two new wells in the Ahe Formation of the Dibei area, achieving 100% accuracy in large-scale fault prediction and 85% accuracy in medium- to small-scale fracture prediction, while effectively guiding engineering risk warnings. The research results demonstrate that this method provides important practical guidance for well placement optimization and safe drilling in tight gas reservoirs within complex structural areas.\u003c/p\u003e","manuscriptTitle":"Application of Wavelet Transform-Based Seismic Frequency Division Geological Sweet Spots Prediction Technology in Tight Sandstone Gas Reservoirs","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-15 23:28:46","doi":"10.21203/rs.3.rs-7739322/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-20T09:35:06+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-19T17:24:47+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-08T01:38:08+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"163687985025985949617904203309755271448","date":"2026-01-07T13:46:46+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-24T04:59:29+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"252714654744957552281043391648723363777","date":"2025-12-21T19:01:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"293993854784453886606238731076269837189","date":"2025-12-21T11:31:04+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-10T11:49:56+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-12-10T11:42:28+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-12-10T11:24:57+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-24T01:45:09+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2025-11-24T01:41:47+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a4574666-34dc-4c2e-bd85-b05fbac71e16","owner":[],"postedDate":"December 15th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"in-revision","subjectAreas":[{"id":59592394,"name":"Physical sciences/Energy science and technology"},{"id":59592395,"name":"Physical sciences/Engineering"},{"id":59592396,"name":"Earth and environmental sciences/Natural hazards"},{"id":59592397,"name":"Earth and environmental sciences/Solid earth sciences"}],"tags":[],"updatedAt":"2026-01-20T10:46:50+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-15 23:28:46","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7739322","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7739322","identity":"rs-7739322","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}