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Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application

Positron Emission Tomography (PET) imaging has demonstrated its capability in providing time-lapse fluid flow visualisation for improving the understanding of flow properties of geologic media. To investigate the process of CO(2) geo-sequestration using PET imaging technology, [(11)C]CO(2) is the mo...

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Autores principales: Jing, Yu, Kumaran, Aaron Uthaia, Stimson, Damion Howard Read, Mardon, Karine, Najdovski, Ljubco, Armstrong, Ryan T., Mostaghimi, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687076/
https://www.ncbi.nlm.nih.gov/pubmed/38030650
http://dx.doi.org/10.1038/s41597-023-02754-3
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author Jing, Yu
Kumaran, Aaron Uthaia
Stimson, Damion Howard Read
Mardon, Karine
Najdovski, Ljubco
Armstrong, Ryan T.
Mostaghimi, Peyman
author_facet Jing, Yu
Kumaran, Aaron Uthaia
Stimson, Damion Howard Read
Mardon, Karine
Najdovski, Ljubco
Armstrong, Ryan T.
Mostaghimi, Peyman
author_sort Jing, Yu
collection PubMed
description Positron Emission Tomography (PET) imaging has demonstrated its capability in providing time-lapse fluid flow visualisation for improving the understanding of flow properties of geologic media. To investigate the process of CO(2) geo-sequestration using PET imaging technology, [(11)C]CO(2) is the most optimal and direct radiotracer. However, it has not been extensively used due to the short half-life of Carbon-11 (20.4 minutes). In this work, a novel laboratory protocol is developed to use [(11)C]CO(2) as radiolabelled tracer to visualise and quantify in-situ CO(2) adsorption, spreading, diffusion, and advection flow in coal. This protocol consists of generation and delivering of [(11)C]CO(2), lab-based PET scanning, subsequent micro-CT scanning, and data processing. The lab-based PET scanning setup integrates in-situ core flooding tests with PET scanning. The real-time PET images are acquired under different storage conditions, including early gas production stage, depleted stage, and late storage stage. These datasets can be used to study across-scale theoretical and experimental study of CO(2) flow behaviour in coal with the application to CO(2) geo-sequestration.
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spelling pubmed-106870762023-11-30 Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application Jing, Yu Kumaran, Aaron Uthaia Stimson, Damion Howard Read Mardon, Karine Najdovski, Ljubco Armstrong, Ryan T. Mostaghimi, Peyman Sci Data Data Descriptor Positron Emission Tomography (PET) imaging has demonstrated its capability in providing time-lapse fluid flow visualisation for improving the understanding of flow properties of geologic media. To investigate the process of CO(2) geo-sequestration using PET imaging technology, [(11)C]CO(2) is the most optimal and direct radiotracer. However, it has not been extensively used due to the short half-life of Carbon-11 (20.4 minutes). In this work, a novel laboratory protocol is developed to use [(11)C]CO(2) as radiolabelled tracer to visualise and quantify in-situ CO(2) adsorption, spreading, diffusion, and advection flow in coal. This protocol consists of generation and delivering of [(11)C]CO(2), lab-based PET scanning, subsequent micro-CT scanning, and data processing. The lab-based PET scanning setup integrates in-situ core flooding tests with PET scanning. The real-time PET images are acquired under different storage conditions, including early gas production stage, depleted stage, and late storage stage. These datasets can be used to study across-scale theoretical and experimental study of CO(2) flow behaviour in coal with the application to CO(2) geo-sequestration. Nature Publishing Group UK 2023-11-29 /pmc/articles/PMC10687076/ /pubmed/38030650 http://dx.doi.org/10.1038/s41597-023-02754-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Jing, Yu
Kumaran, Aaron Uthaia
Stimson, Damion Howard Read
Mardon, Karine
Najdovski, Ljubco
Armstrong, Ryan T.
Mostaghimi, Peyman
Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application
title Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application
title_full Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application
title_fullStr Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application
title_full_unstemmed Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application
title_short Positron emission tomography dataset of [(11)C]carbon dioxide storage in coal for geo-sequestration application
title_sort positron emission tomography dataset of [(11)c]carbon dioxide storage in coal for geo-sequestration application
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687076/
https://www.ncbi.nlm.nih.gov/pubmed/38030650
http://dx.doi.org/10.1038/s41597-023-02754-3
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