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Computational fluid dynamics-based modeling of methane flows around oil and gas equipment

dc.contributor.authorAnand, Abhinav, author
dc.contributor.authorOlsen, Daniel B., advisor
dc.contributor.authorShonkwiler, Kira B., advisor
dc.contributor.authorZimmerle, Dan, committee member
dc.contributor.authorHodshire, Anna, committee member
dc.date.accessioned2025-09-01T10:41:58Z
dc.date.available2025-09-01T10:41:58Z
dc.date.issued2025
dc.description.abstractRecent studies estimate that emissions from oil and gas (O&G) production facilities contribute between 20 to 50% of the total methane emitted in the US; therefore, quantifying and reducing these emissions is crucial for achieving climate goals. Some methane quantification depends on both measuring methane concentrations and converting these to emissions through a modeling framework. Currently, simple atmospheric dispersion models are primarily used to quantify emissions and concentrations, but these estimates are highly uncertain when quantifying emissions from complex aerodynamic sources, such as oil and gas facilities. This investigation uses a CFD modeling approach, which can account for aerodynamic complexity but has hitherto not been used to model methane concentrations downwind of a methane release of known rate and compared against in-situ measurements. High-time resolution (1 Hz) methane concentration and meteorological data were measured during experiments conducted at Methane Emissions Technology Evaluation Center (METEC) on 21st March and 11th July 2024. The METEC site configuration, measured wind data, and controlled emission rates were used as input for CONVERGE CFD to model downwind methane concentration. The downwind modeling was done between 20-70 meters, each from two different points of release in two separate controlled release experiments— one from a separator and another from a wellhead. In these experiments, we found that the CFD model can predict methane concentrations downwind of the release to a good degree. The fractional bias in maximum modeled concentration was under 32%, and the fractional bias in time-averaged mean methane concentration was under 41%. The model evaluated on multiple metrics to assess its performance in estimating methane concentrations at typical fence-line distances (∼30 m). These results help to understand external flows and the ability of CFD models to predict downwind concentrations in aerodynamically complex environments.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierAnand_colostate_0053N_19014.pdf
dc.identifier.urihttps://hdl.handle.net/10217/241735
dc.identifier.urihttps://doi.org/10.25675/3.02055
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleComputational fluid dynamics-based modeling of methane flows around oil and gas equipment
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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