Development and Application of a 3D Simulation-Based Reconstruction and Analysis System for Oil and Gas Surface Engineering Construction

Development and Application of a 3D Simulation-Based Reconstruction and Analysis System for Oil and Gas Surface Engineering Construction | 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 Development and Application of a 3D Simulation-Based Reconstruction and Analysis System for Oil and Gas Surface Engineering Construction Yun You, Ning Liu, Lin Li, Xia Qin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9197860/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 With the continuous expansion of oil and gas surface engineering construction and the significant increase in technological complexity, traditional construction site management models are facing considerable challenges in establishing data closed-loop management, real-time risk perception, and in-depth accident reconstruction. To address these issues, a three-dimensional simulation-based reconstruction and analysis system is developed by integrating the Internet of Things (IoT), computer vision, and 3D simulation technologies. Based on a closed-loop management paradigm of “perception–modeling–analysis–decision–review,” a bidirectional digital twin architecture between the physical construction site and the digital model is established, enabling visual monitoring, intelligent analysis, and accurate traceability throughout the entire construction process. The system architecture consists of a physical perception layer, a digital model layer, a data fusion and processing module, a dynamic optimization module, an intelligent application service module, and a unified communication bus. It possesses the capability for real-time acquisition, fusion analysis, and collaborative processing of multi-source heterogeneous data. In terms of functional implementation, the system integrates key technologies such as panoramic 3D reconstruction, dynamic trajectory tracking, specialized model libraries, and intelligent behavior recognition, supporting a full-process closed-loop management mechanism from on-site reconstruction to accident review. Practical applications demonstrate that the proposed system can effectively break data barriers and promote the transformation of construction management from experience-based judgment to data-driven decision-making. It not only provides a systematic solution for oil and gas surface engineering construction management but also offers a valuable technological pathway for the digital transformation of the industry. Physical sciences/Engineering Physical sciences/Mathematics and computing Oil and Gas Surface Engineering 3D Reconstruction Simulation Construction Management Visualized Management Digital Transformation Full Text Additional Declarations No competing interests reported. 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-9197860","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":619725187,"identity":"26362366-af25-49a1-80ca-9437e3246dfb","order_by":0,"name":"Yun You","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYBACfmbGBoPEPzZyMAHGBkJaJNubDxR8bEgzBvMOEKPF4MyxhI8zGw4lNhCtheFGjuFm3h0H0vvbc4w/f2Cwkd1wgPnZA3w6GGfkGBvznrmTO+PMGzOJAwxpxhsOsJkb4NPCLJFjZszD9ix3A5ABdNjhxA0HeNgk8Glhk8gx/83DdjjdQCLH+MMBhv+EtfDwHEswnNl2OAGoxQDosAOEtUiwNx8w+HAmzXDGmWdlEmcMko1nHmYzw6vF/jAwKhMqbOT525M3f6iosJPtO978DK8WJJAAxKCgYiZSPVTLKBgFo2AUjAIsAACvg1DM75SKqgAAAABJRU5ErkJggg==","orcid":"","institution":"Chongqing University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Yun","middleName":"","lastName":"You","suffix":""},{"id":619725191,"identity":"dbcf6a14-8de4-4759-80e6-385d0784b0ed","order_by":1,"name":"Ning Liu","email":"","orcid":"","institution":"Chongqing University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Ning","middleName":"","lastName":"Liu","suffix":""},{"id":619725194,"identity":"07ef9114-404f-4e0b-8d5c-4e2bac93f13b","order_by":2,"name":"Lin Li","email":"","orcid":"","institution":"Chongqing Energy Utilization Monitoring Center","correspondingAuthor":false,"prefix":"","firstName":"Lin","middleName":"","lastName":"Li","suffix":""},{"id":619725196,"identity":"98ce7075-8538-4420-b896-96fcc69b8848","order_by":3,"name":"Xia Qin","email":"","orcid":"","institution":"China Petroleum Logging Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Xia","middleName":"","lastName":"Qin","suffix":""}],"badges":[],"createdAt":"2026-03-23 08:53:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9197860/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9197860/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":109174531,"identity":"7a38e1a4-7168-4afa-afd0-2b25a7c349ed","added_by":"auto","created_at":"2026-05-13 09:17:17","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":815232,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9197860/v1_covered_86e650b7-0969-434d-8045-ad3423e56dd9.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Development and Application of a 3D Simulation-Based Reconstruction and Analysis System for Oil and Gas Surface Engineering Construction","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"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":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Oil and Gas Surface Engineering, 3D Reconstruction Simulation, Construction Management, Visualized Management, Digital Transformation","lastPublishedDoi":"10.21203/rs.3.rs-9197860/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9197860/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the continuous expansion of oil and gas surface engineering construction and the significant increase in technological complexity, traditional construction site management models are facing considerable challenges in establishing data closed-loop management, real-time risk perception, and in-depth accident reconstruction. To address these issues, a three-dimensional simulation-based reconstruction and analysis system is developed by integrating the Internet of Things (IoT), computer vision, and 3D simulation technologies. Based on a closed-loop management paradigm of \u0026ldquo;perception\u0026ndash;modeling\u0026ndash;analysis\u0026ndash;decision\u0026ndash;review,\u0026rdquo; a bidirectional digital twin architecture between the physical construction site and the digital model is established, enabling visual monitoring, intelligent analysis, and accurate traceability throughout the entire construction process. The system architecture consists of a physical perception layer, a digital model layer, a data fusion and processing module, a dynamic optimization module, an intelligent application service module, and a unified communication bus. It possesses the capability for real-time acquisition, fusion analysis, and collaborative processing of multi-source heterogeneous data. 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