Laser methane emission monitoring based on harmonic ratio feature and estimation of absorption pulse parameters

Laser methane emission monitoring based on harmonic ratio feature and estimation of absorption pulse parameters | 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 Laser methane emission monitoring based on harmonic ratio feature and estimation of absorption pulse parameters Bach Nguyen, Anatol Baryskievic, Illa Baryskievic, Viktar Tsviatkou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4974214/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 Monitoring of methane from oil and natural gas operations is essential to mitigate environmental risks and promote sustainable practices. The method is an effective tool to detect methane presence and compute methane concentration under condition of low signal to noise ratio. The proposed adaptive time synchronous moving average, multiband decomposition and pulse signal fusion of laser signal allow to reduce measurement noise. The harmonic ratio features and time-amplitude features improve taking into consideration the properties of the absorption signal and pulse allow to improve the methane estimation accuracy. Experimental results show that the methane detection accuracy and classification accuracy are equal to 100% and 86.5%, respectively. The estimation accuracy of methane concentration in terms of R 2 value equal to 0.995. 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-4974214","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":357593303,"identity":"484f62d1-878c-4970-90ff-96ca88d99232","order_by":0,"name":"Bach Nguyen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzUlEQVRIiWNgGAWjYBACAwYGNoaPf2rkQJwDD4jVwjiz4ZgxWEsCsVqYeRuYExtAPKK0mLMffvaAdwdb+vywww+BttjJ6TYQ0GLZk2ZuIHlGJnfj7TQDoJZkY7MDhBx2IIdNwoCNLXfj7ASQlgOJ2whqOf+GTSKBjTndcHb6ByK13ADacrCNOUFeOodIWyxnPDOTbDhzzHCDdE7BgQQDIvxizp/8TPpPRY28/Oz0zR8+VNjJEdSCcCFYpQGxykFAvoEU1aNgFIyCUTCiAAAZVUZOO6e9TwAAAABJRU5ErkJggg==","orcid":"","institution":"Belarusian State University of Informatics and Radioelectronics","correspondingAuthor":true,"prefix":"","firstName":"Bach","middleName":"","lastName":"Nguyen","suffix":""},{"id":357593304,"identity":"055ca63a-5922-4ec1-9f19-1264318a6a7e","order_by":1,"name":"Anatol Baryskievic","email":"","orcid":"","institution":"Belarusian State University of Informatics and Radioelectronics","correspondingAuthor":false,"prefix":"","firstName":"Anatol","middleName":"","lastName":"Baryskievic","suffix":""},{"id":357593305,"identity":"8e3551a7-af5d-435b-b523-4455333c01a9","order_by":2,"name":"Illa Baryskievic","email":"","orcid":"","institution":"Belarusian State University of Informatics and Radioelectronics","correspondingAuthor":false,"prefix":"","firstName":"Illa","middleName":"","lastName":"Baryskievic","suffix":""},{"id":357593306,"identity":"5fc896e2-e4f0-432e-925f-2bb7b0e1671b","order_by":3,"name":"Viktar Tsviatkou","email":"","orcid":"","institution":"Belarusian State University of Informatics and Radioelectronics","correspondingAuthor":false,"prefix":"","firstName":"Viktar","middleName":"","lastName":"Tsviatkou","suffix":""}],"badges":[],"createdAt":"2024-08-25 21:38:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4974214/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4974214/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":67176361,"identity":"6bd7b7e8-d58f-406b-8b43-6eb261fd131f","added_by":"auto","created_at":"2024-10-22 05:02:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":575632,"visible":true,"origin":"","legend":"","description":"","filename":"Lasermethaneemissionmonitoringbasedonharmonicratiofeatureandestimationofabsorptionpulseparameters.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4974214/v1_covered_a54d1482-c09a-4844-8a38-5f875c16f024.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Laser methane emission monitoring based on harmonic ratio feature and estimation of absorption pulse parameters","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":"","lastPublishedDoi":"10.21203/rs.3.rs-4974214/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4974214/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMonitoring of methane from oil and natural gas operations is essential to mitigate environmental risks and promote sustainable practices. The method is an effective tool to detect methane presence and compute methane concentration under condition of low signal to noise ratio. The proposed adaptive time synchronous moving average, multiband decomposition and pulse signal fusion of laser signal allow to reduce measurement noise. The harmonic ratio features and time-amplitude features improve taking into consideration the properties of the absorption signal and pulse allow to improve the methane estimation accuracy. Experimental results show that the methane detection accuracy and classification accuracy are equal to 100% and 86.5%, respectively. 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