二氧化碳地质封存运移监测技术现状及展望OA
Development status and prospect of carbon geological storage and migration monitoring
在我国以煤为主的能源结构下,二氧化碳(CO2)地质封存是提升能源系统弹性、助推化石能源低碳化利用的关键技术,更是实现碳中和的兜底保障.在此过程中,对CO2 运移进行有效监测,是及时掌握封存状态、确保工程安全与高效实施的核心环节.文中总结了近年来CO2 运移监测领域发展的多源、多场和多尺度监测方法,重点介绍了时移地震探测用于CO2 羽流监测的关键技术,并展望了CO2 运移监测技术未来的发展方向.在时移地震数据一致性处理方面,搭建了相关性循环注意力网络,保证了数据的一致性.在储层参数预测方面,结合曲波变换和全卷积神经网络,开发了多尺度、智能化反演流程,建立了多参数同时预测流程,实现了CO2 羽流的高效、高精度预测.通过对CO2 运移监测关键技术的系统梳理及发展方向的展望,为CO2 地质封存的有效实施提供参考.
In view of China's coal-based energy structure,CO2 geological storage can improve the resili-ence of the energy system,achieve low carbonization in the process of reducing the use of fossil energy,and is the backstop technology for China to achieve carbon neutrality.CO2 migration monitoring is the key to grasp the storage status in time and ensure the safe and effective implementation of the project.In this paper,the multi-source,multi-field and multi-scale monitoring methods of CO2 migration moni-toring in recent years are reviewed in detail,and the key technologies of time-lapse seismic detection in CO2 plume monitoring are introduced in detail.The future development direction of CO2 migration mo-nitoring technology is comprehensively considered.In the consistency processing of time-lapsed seismic data,the correlation recurrent attention network is built to ensure the consistency of time-lapsed seismic data.In terms of reservoir parameter prediction,a multi-scale and intelligent inversion process is devel-oped by combining curvelet transformation and full convolutional neural network,and a multi-parameter simultaneous prediction process is established to realize efficient and high-precision prediction of CO2 plumes.This study systematically sorted out the key technologies of CO2 migration monitoring,pointed out the development direction of CO2 migration monitoring,and provided a reference for the effective implementation of CO2 geological storage.
李冬;郭银玲;郭陟达;汪冠君;陈龙权;张旭辉
新疆煤炭资源绿色开采教育部重点实验室,新疆 乌鲁木齐 830023||北京科技大学资源与安全工程学院,北京 100083北京怀柔实验室,北京 101499吉林金隅冀东环保科技有限公司,吉林吉林 132201北京科技大学资源与安全工程学院,北京 100083北京科技大学资源与安全工程学院,北京 100083新疆煤炭资源绿色开采教育部重点实验室,新疆 乌鲁木齐 830023
天文与地球科学
CO2地质封存运移监测时移地震一致性处理高精度成像
CO2 geological storagemigration monitoringtime-lapsed seismicconsistency process-inghigh precision imaging
《矿业科学学报》 2026 (1)
52-62,11
煤炭资源绿色开采教育部重点实验室开放课题(KLXGY-KB2407)国家自然科学基金(42204142)北京科技大学青年教师学科交叉研究项目(中央高校基本科研业务费专项资金)(FRF-IDRY-23-016)
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