Mechanistic Modeling of CO2 Migration in Heterogeneous Porous Media Using Wavelet-Assisted Damped Fractional Brownian Motion

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Abstract Accurately modeling CO2 diffusion in low-permeability heterogeneous reservoirs is critical for optimizing enhanced oil recovery and carbon sequestration strategies. We present a novel stochastic time series model that integrates damping effects, fractional Brownian motion, and wavelet transforms to simulate CO2 migration and diffusion behavior in complex porous media. Compared to traditional approaches, our model captures multi-scale heterogeneity and dynamic fluctuations more effectively, offering improved predictive accuracy at microscopic spatial and temporal scales. This approach provides a refined understanding of CO2 transport mechanisms in tight reservoirs and supports the design of more efficient CO2-EOR and CCUS operations.
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Mechanistic Modeling of CO2 Migration in Heterogeneous Porous Media Using Wavelet-Assisted Damped Fractional Brownian Motion | 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 Mechanistic Modeling of CO2 Migration in Heterogeneous Porous Media Using Wavelet-Assisted Damped Fractional Brownian Motion xue yang, Jian-Yi Liu, Wei Tian This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7163198/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 Accurately modeling CO 2 diffusion in low-permeability heterogeneous reservoirs is critical for optimizing enhanced oil recovery and carbon sequestration strategies. We present a novel stochastic time series model that integrates damping effects, fractional Brownian motion, and wavelet transforms to simulate CO 2 migration and diffusion behavior in complex porous media. Compared to traditional approaches, our model captures multi-scale heterogeneity and dynamic fluctuations more effectively, offering improved predictive accuracy at microscopic spatial and temporal scales. This approach provides a refined understanding of CO 2 transport mechanisms in tight reservoirs and supports the design of more efficient CO 2 -EOR and CCUS operations. carbon dioxide fractal Brownian motion wavelet transform damping porous media 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. 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