Optimization System Development and Application for Characteristic Volume in Flow Field of In-Situ Leaching of Uranium

Optimization System Development and Application for Characteristic Volume in Flow Field of In-Situ Leaching of Uranium | 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 Optimization System Development and Application for Characteristic Volume in Flow Field of In-Situ Leaching of Uranium Sichen Wang, Tingting Xie, Zhiming Du, Qinci Li, Chong Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6452361/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 20 Feb, 2026 Read the published version in Mine Water and the Environment → Version 1 posted 4 You are reading this latest preprint version Abstract Based on simulated groundwater streamlines, researchers have developed a theoretical framework for calculating the characteristic volume of in-situ uranium leaching, encompassing both the convection volume and potential leaching volume. This framework was further enhanced by integrating it with the optimization theory of particle release. Through extensive research utilizing the genetic algorithm, a multi-objective optimization program for the flow field of in-situ uranium leaching named MOFISL was created. Consequently, an optimization system combining particle release optimization theory and MOFISL was established. Implementing the optimization system at a specific site in Bayan-Uul. We first determine the most effective method for positioning particles in the given area. Subsequently, the focus of MOFISL was directed towards optimizing the pumping volume while simultaneously minimizing external influence on the flow field, resulting in a series of Pareto optimal solutions. The results indicate that potential leaching volume is primarily influenced by the number of particles released horizontally, with minimal impact from the vertical release. While comparing edge and corner injection wells to internal injection wells, it is notable that internal injection wells have a more complex local flow field. This complexity necessitates a higher quantity of particles for accurate potential leaching volume calculations. By adjusting the weight of optimal solutions, multi-objective optimization management model for in-situ leaching of uranium offers efficient and accurate optimization methods for the decision-making process. The demonstrated adaptability and potential for future enhancements highlight the versatility of the optimization system. In-situ leaching of uranium Groundwater streamline Characteristic volume MOFISL Full Text Cite Share Download PDF Status: Published Journal Publication published 20 Feb, 2026 Read the published version in Mine Water and the Environment → Version 1 posted Reviewers agreed at journal 12 May, 2025 Reviewers invited by journal 30 Apr, 2025 Editor assigned by journal 23 Apr, 2025 First submitted to journal 15 Apr, 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. We do this by developing innovative software and high quality services for the global research community. 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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-6452361","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":450431339,"identity":"99ffe3d4-1cab-430a-9884-37d8a9789e72","order_by":0,"name":"Sichen 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