Wenke Tang , Wuqin Li , Zitian Lin , Jun Zhu , Siyao Zhou , Yangmin Kuang , Yanpeng Zheng
{"title":"二氧化碳地质封存的地球物理监测技术与模拟研究综述","authors":"Wenke Tang , Wuqin Li , Zitian Lin , Jun Zhu , Siyao Zhou , Yangmin Kuang , Yanpeng Zheng","doi":"10.1016/j.jgsce.2025.205725","DOIUrl":null,"url":null,"abstract":"<div><div>Carbon capture, utilization, and storage (CCUS) is a promising method for carbon emission reduction, but safe and efficient storage remains challenging. Geophysical methods can monitor CO<sub>2</sub> storage, yet face issues like technical obstacles, data complexity, environmental impact and cost. This review summarizes CCUS projects, geophysical principles, forward and inverse methods. It is proposed to construct an integrated carbon storage monitoring network based on seismic, electromagnetic, and gravimetric monitoring. Additionally, by establishing an optical fiber data transmission platform and leveraging artificial intelligence, data collection efficiency and algorithm accuracy can be improved, thereby optimizing the overall monitoring system.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"143 ","pages":"Article 205725"},"PeriodicalIF":5.5000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geophysical monitoring technology and simulation in CO2 geological storage: A comprehensive review\",\"authors\":\"Wenke Tang , Wuqin Li , Zitian Lin , Jun Zhu , Siyao Zhou , Yangmin Kuang , Yanpeng Zheng\",\"doi\":\"10.1016/j.jgsce.2025.205725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Carbon capture, utilization, and storage (CCUS) is a promising method for carbon emission reduction, but safe and efficient storage remains challenging. Geophysical methods can monitor CO<sub>2</sub> storage, yet face issues like technical obstacles, data complexity, environmental impact and cost. This review summarizes CCUS projects, geophysical principles, forward and inverse methods. It is proposed to construct an integrated carbon storage monitoring network based on seismic, electromagnetic, and gravimetric monitoring. Additionally, by establishing an optical fiber data transmission platform and leveraging artificial intelligence, data collection efficiency and algorithm accuracy can be improved, thereby optimizing the overall monitoring system.</div></div>\",\"PeriodicalId\":100568,\"journal\":{\"name\":\"Gas Science and Engineering\",\"volume\":\"143 \",\"pages\":\"Article 205725\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gas Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S294990892500189X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gas Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S294990892500189X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Geophysical monitoring technology and simulation in CO2 geological storage: A comprehensive review
Carbon capture, utilization, and storage (CCUS) is a promising method for carbon emission reduction, but safe and efficient storage remains challenging. Geophysical methods can monitor CO2 storage, yet face issues like technical obstacles, data complexity, environmental impact and cost. This review summarizes CCUS projects, geophysical principles, forward and inverse methods. It is proposed to construct an integrated carbon storage monitoring network based on seismic, electromagnetic, and gravimetric monitoring. Additionally, by establishing an optical fiber data transmission platform and leveraging artificial intelligence, data collection efficiency and algorithm accuracy can be improved, thereby optimizing the overall monitoring system.
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