Determination of Geological Boundaires from Well Log Data Using the Recurrence Plots Methods | 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 Determination of Geological Boundaires from Well Log Data Using the Recurrence Plots Methods Arkın BALKİS This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8638354/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 Quadrant Scan (QS) method, originally developed for detecting transitions in time series, was adapted in this study to identify lithological boundaries from well log data. Although it is a relatively recent technique primarily designed for temporal datasets, it has demonstrated applicability to spatial data as well. Given the spatial nature of well logs, the method yielded effective results in detecting abrupt transitions within lithological units. However, limitations were encountered in distinguishing certain lithological boundaries. To address this, a weighting function was introduced as an additional parameter into the method. The resulting Weighted Quadrant Scan (WQS) approach provided more robust and accurate delineation of geological boundaries compared to the standard method. This enhancement broadens the applicability of the technique for spatially distributed subsurface data in geoscientific analyses. Geophysics Quadrant scan Recurrence plots Well log interpretation Lithological boundary detection Geophysical logging Spatial data analysis Full Text Additional Declarations The authors declare no competing interests. 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-8638354","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":576758895,"identity":"79b1c94e-d299-4f1c-946b-073efc24b680","order_by":0,"name":"Arkın 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