Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin
Abstract Accurately characterizing $$\hbox {CO}_2$$ sequestration and migration post-injection is crucial to the success of carbon capture and storage (CCS) projects. Time-lapse seismic monitoring technique is an effective tool; however, it can only reveal changes in elastic properties such as compr...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-09476-z |
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| author | Yanjiao Dong Yi Shen Kai Guo Qiang Mao Xiaoqin Wu Lintao Li Wenyue Sun |
| author_facet | Yanjiao Dong Yi Shen Kai Guo Qiang Mao Xiaoqin Wu Lintao Li Wenyue Sun |
| author_sort | Yanjiao Dong |
| collection | DOAJ |
| description | Abstract Accurately characterizing $$\hbox {CO}_2$$ sequestration and migration post-injection is crucial to the success of carbon capture and storage (CCS) projects. Time-lapse seismic monitoring technique is an effective tool; however, it can only reveal changes in elastic properties such as compressional wave velocity ( $$V_{\text {p}}$$ ) and quality factor ( $$Q_{\text {p}}$$ ). In contrast, reservoir simulation enables detailed tracking of fluid movement within the reservoir, allowing for precise simulation of $$\hbox {CO}_2$$ saturation. Thus, to enable a more accurate characterization of $$\hbox {CO}_2$$ migration, we develop an integrated workflow that closes the loop between reservoir saturation data and time-lapse seismic data, which operate at different resolution scales. First, we build a realistic geological model for $$\hbox {CO}_2$$ storage based on the field information from typical saline aquifers in the Pearl River Mouth Basin (PRMB). Then, using rock physics theory, we establish relationships between $$\hbox {CO}_2$$ saturation and seismic properties ( $$V_{\text {p}}$$ and $$Q_{\text {p}}$$ ) to construct seismic models. Subsequently, we employ time-lapse seismic techniques to analyze the effects of $$\hbox {CO}_2$$ saturation changes on seismic data and quantitatively estimate these effects using the spectral-ratio method. Finally, the workflow developed in this study efficiently addresses challenges associated with varying observational scales and interdisciplinary research. It offers a valuable approach for predicting and detecting early $$\hbox {CO}_2$$ leakage based on known reservoir properties. This dataset will be available as an open-access resource, providing a valuable tool for testing and advancing research in the CCS field. |
| format | Article |
| id | doaj-art-434800df305d4f95b2cccd88d709c633 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-434800df305d4f95b2cccd88d709c6332025-08-20T03:45:30ZengNature PortfolioScientific Reports2045-23222025-07-0115112710.1038/s41598-025-09476-zAdvanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basinYanjiao Dong0Yi Shen1Kai Guo2Qiang Mao3Xiaoqin Wu4Lintao Li5Wenyue Sun6China University of Petroleum (East China), School of GeosciencesChina University of Petroleum (East China), School of GeosciencesState Key Laboratory of Offshore Oil and Gas ExploitationChina University of Petroleum (East China), School of GeosciencesChina University of Petroleum (East China), School of GeosciencesState Key Laboratory of Offshore Oil and Gas ExploitationChina University of Petroleum (East China), School of Petroleum EngineeringAbstract Accurately characterizing $$\hbox {CO}_2$$ sequestration and migration post-injection is crucial to the success of carbon capture and storage (CCS) projects. Time-lapse seismic monitoring technique is an effective tool; however, it can only reveal changes in elastic properties such as compressional wave velocity ( $$V_{\text {p}}$$ ) and quality factor ( $$Q_{\text {p}}$$ ). In contrast, reservoir simulation enables detailed tracking of fluid movement within the reservoir, allowing for precise simulation of $$\hbox {CO}_2$$ saturation. Thus, to enable a more accurate characterization of $$\hbox {CO}_2$$ migration, we develop an integrated workflow that closes the loop between reservoir saturation data and time-lapse seismic data, which operate at different resolution scales. First, we build a realistic geological model for $$\hbox {CO}_2$$ storage based on the field information from typical saline aquifers in the Pearl River Mouth Basin (PRMB). Then, using rock physics theory, we establish relationships between $$\hbox {CO}_2$$ saturation and seismic properties ( $$V_{\text {p}}$$ and $$Q_{\text {p}}$$ ) to construct seismic models. Subsequently, we employ time-lapse seismic techniques to analyze the effects of $$\hbox {CO}_2$$ saturation changes on seismic data and quantitatively estimate these effects using the spectral-ratio method. Finally, the workflow developed in this study efficiently addresses challenges associated with varying observational scales and interdisciplinary research. It offers a valuable approach for predicting and detecting early $$\hbox {CO}_2$$ leakage based on known reservoir properties. This dataset will be available as an open-access resource, providing a valuable tool for testing and advancing research in the CCS field.https://doi.org/10.1038/s41598-025-09476-z |
| spellingShingle | Yanjiao Dong Yi Shen Kai Guo Qiang Mao Xiaoqin Wu Lintao Li Wenyue Sun Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin Scientific Reports |
| title | Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin |
| title_full | Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin |
| title_fullStr | Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin |
| title_full_unstemmed | Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin |
| title_short | Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin |
| title_sort | advanced workflow for time lapse seismic monitoring of hbox co 2 storage in saline aquifers with its application in a field basin |
| url | https://doi.org/10.1038/s41598-025-09476-z |
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