矿业科学学报2026，Vol.11Issue(1)：52-62,11.DOI:10.19606/j.cnki.jmst.2025100
二氧化碳地质封存运移监测技术现状及展望
Development status and prospect of carbon geological storage and migration monitoring
摘要
Abstract
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.关键词
CO2地质封存/运移监测/时移地震/一致性处理/高精度成像Key words
CO2 geological storage/migration monitoring/time-lapsed seismic/consistency process-ing/high precision imaging分类
天文与地球科学引用本文复制引用
李冬,郭银玲,郭陟达,汪冠君,陈龙权,张旭辉..二氧化碳地质封存运移监测技术现状及展望[J].矿业科学学报,2026,11(1):52-62,11.基金项目
煤炭资源绿色开采教育部重点实验室开放课题(KLXGY-KB2407) （KLXGY-KB2407）
国家自然科学基金(42204142) （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) （中央高校基本科研业务费专项资金）
