Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases
<p dir="ltr">The quantitative characterization of underground transport phenomena remains challenging due to the complex behavior of the gas movement in soil. Conversely, this inhibits the accurate prediction of the risk arising from the underground transport of hazardous materials....
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2022
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| _version_ | 1864513540526702592 |
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| author | Ola Srour (17346841) |
| author2 | Konstantinos E. Kakosimos (9863975) Luc N. Vechot (17346844) |
| author2_role | author author |
| author_facet | Ola Srour (17346841) Konstantinos E. Kakosimos (9863975) Luc N. Vechot (17346844) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ola Srour (17346841) Konstantinos E. Kakosimos (9863975) Luc N. Vechot (17346844) |
| dc.date.none.fl_str_mv | 2022-12-01T21:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.jngse.2022.104832 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Toward_a_high-fidelity_model_for_the_identification_of_underground_gas_flow_regimes_resulting_from_buried_pipeline_releases/24516415 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Environmental engineering Geomatic engineering Resources engineering and extractive metallurgy Leak Buried pipeline Computational fluid dynamics Eulerian model Risk assessment |
| dc.title.none.fl_str_mv | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The quantitative characterization of underground transport phenomena remains challenging due to the complex behavior of the gas movement in soil. Conversely, this inhibits the accurate prediction of the risk arising from the underground transport of hazardous materials. This work proposed and qualitatively evaluated a computational model that spans a wide range of underground gas flow regimes, ranging from gas migration, to ground uplift, and crater formation, depending on the release characteristics. The model followed the multiphase Eulerian approach and adopted the standard k-ω turbulence model and the kinetic theory of granular flow for the ground description with the Syamlal-O’Brien granular viscosity expression. The model's optimum configuration was checked against experimental data using a new mechanistic approach to link the qualitative observations with quantitative model outputs. The effect of pipeline pressure, burial depth, and release orientation on the regime was studied and the outcomes were utilized to enhance a literature nomograph for the flow regime identification. Emphasis was given to fill in the literature gaps and improve the delineation of the boundaries between the regimes rather than deriving specific quantities. The resulted nomograph is a cost-effective screening tool to identify the regime and select among the available strategies of risk assessment.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Natural Gas Science and Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jngse.2022.104832" target="_blank">https://dx.doi.org/10.1016/j.jngse.2022.104832</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_01a3fa3872cebd5a37d89362e87a56dc |
| identifier_str_mv | 10.1016/j.jngse.2022.104832 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24516415 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releasesOla Srour (17346841)Konstantinos E. Kakosimos (9863975)Luc N. Vechot (17346844)EngineeringEnvironmental engineeringGeomatic engineeringResources engineering and extractive metallurgyLeakBuried pipelineComputational fluid dynamicsEulerian modelRisk assessment<p dir="ltr">The quantitative characterization of underground transport phenomena remains challenging due to the complex behavior of the gas movement in soil. Conversely, this inhibits the accurate prediction of the risk arising from the underground transport of hazardous materials. This work proposed and qualitatively evaluated a computational model that spans a wide range of underground gas flow regimes, ranging from gas migration, to ground uplift, and crater formation, depending on the release characteristics. The model followed the multiphase Eulerian approach and adopted the standard k-ω turbulence model and the kinetic theory of granular flow for the ground description with the Syamlal-O’Brien granular viscosity expression. The model's optimum configuration was checked against experimental data using a new mechanistic approach to link the qualitative observations with quantitative model outputs. The effect of pipeline pressure, burial depth, and release orientation on the regime was studied and the outcomes were utilized to enhance a literature nomograph for the flow regime identification. Emphasis was given to fill in the literature gaps and improve the delineation of the boundaries between the regimes rather than deriving specific quantities. The resulted nomograph is a cost-effective screening tool to identify the regime and select among the available strategies of risk assessment.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Natural Gas Science and Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jngse.2022.104832" target="_blank">https://dx.doi.org/10.1016/j.jngse.2022.104832</a></p>2022-12-01T21:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.jngse.2022.104832https://figshare.com/articles/journal_contribution/Toward_a_high-fidelity_model_for_the_identification_of_underground_gas_flow_regimes_resulting_from_buried_pipeline_releases/24516415CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/245164152022-12-01T21:00:00Z |
| spellingShingle | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases Ola Srour (17346841) Engineering Environmental engineering Geomatic engineering Resources engineering and extractive metallurgy Leak Buried pipeline Computational fluid dynamics Eulerian model Risk assessment |
| status_str | publishedVersion |
| title | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| title_full | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| title_fullStr | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| title_full_unstemmed | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| title_short | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| title_sort | Toward a high-fidelity model for the identification of underground gas flow regimes resulting from buried pipeline releases |
| topic | Engineering Environmental engineering Geomatic engineering Resources engineering and extractive metallurgy Leak Buried pipeline Computational fluid dynamics Eulerian model Risk assessment |