New Method for Evaluating the Development Effectiveness of Waterflooded Reservoirs

New Method for Evaluating the Development Effectiveness of Waterflooded 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 Research Article New Method for Evaluating the Development Effectiveness of Waterflooded Reservoirs Fuchang Han, Changshou Li, Hui Xu, Wenji Wei, Zetao Sun, Shengda Zhang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7459569/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract Waterflooding is a primary technique in oilfield development. However, most oilfields have now entered the (ultra-)high water-cut stage, making the improvement of waterflooding performance in high water-cut oilfields a globally significant research topic. It is particularly crucial to scientifically establish a comprehensive evaluation model, methodology, and technical framework for oilfield development performance, identify key breakthroughs for enhancing recovery efficiency, and propose adjustment measures to unlock reservoir potential. This study employs systems analysis and data mining techniques to evaluate various parameters of waterflooded reservoirs through four key dimensions: reservoir characteristics, engineering operations, wellsite management, and production economics. The research identifies mutually independent yet critical development indicators through a combined subjective-objective approach, utilizing multiple data mining algorithms to mitigate human bias and the inaccuracies inherent in single-algorithm evaluations. The hierarchical clustering method was applied to screen development indicators closely associated with waterflooding performance and determine their weighting coefficients. Theoretical principles, statistical patterns, and technical requirements were transformed into quantitative feature descriptors to establish evaluation criteria for each parameter. By calculating composite scores for reservoirs, the study provides a systematic approach to assess waterflooding effectiveness. The research comprehensively considers all factors influencing oilfield development performance, analyzes the intrinsic relationships among evaluation indicators, and reveals the fundamental mechanisms governing development effectiveness. These findings provide essential insights for optimizing oilfield development strategies. hierarchical clustering waterflooding development performance evaluation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 01 Nov, 2025 Reviews received at journal 19 Oct, 2025 Reviewers agreed at journal 19 Oct, 2025 Reviews received at journal 18 Oct, 2025 Reviewers agreed at journal 13 Oct, 2025 Reviews received at journal 30 Sep, 2025 Reviewers agreed at journal 20 Sep, 2025 Reviewers agreed at journal 18 Sep, 2025 Reviewers agreed at journal 10 Sep, 2025 Reviewers agreed at journal 10 Sep, 2025 Reviewers invited by journal 09 Sep, 2025 Editor assigned by journal 29 Aug, 2025 Submission checks completed at journal 29 Aug, 2025 First submitted to journal 26 Aug, 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-7459569","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":513168916,"identity":"451b30f0-fea3-427a-b852-8aac0492b03e","order_by":0,"name":"Fuchang Han","email":"","orcid":"","institution":"Sinopec Shengli Petroleum Engineering Co., Ltd.","correspondingAuthor":false,"prefix":"","firstName":"Fuchang","middleName":"","lastName":"Han","suffix":""},{"id":513168917,"identity":"8229a888-100f-46df-b46b-eafb81bd6384","order_by":1,"name":"Changshou Li","email":"","orcid":"","institution":"No.1 Natural Gas Production Plant，Qinghai 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