首页|期刊导航|油气地质与采收率|CO2地质封存在咸水层中的时延重力监测和封存质量评估

CO2地质封存在咸水层中的时延重力监测和封存质量评估OA

Time-lapse gravity monitoring and storage mass estimation of CO2 geological storage in saline aquifers

中文摘要英文摘要

以CO2为主的温室气体大量排放,造成了严峻的气候问题,碳捕集与封存(CCS)被认为是实现碳中和目标和应对当前气候变化危机的最有前景的解决方案之一.为了确定CO2地质封存项目的可靠性和持久性,有必要在CO2注入及注入后阶段开展准确的现场特征评价和监测.以挪威Johansen咸水层CO2封存场地为研究对象,针对CO2注入及注入后阶段的运移规律与质量评估问题,提出基于时延重力监测的创新分析方法.通过数值模拟软件构建三维地质模型,模拟不同注入速率(20、40和60 kg/s)下CO2的运移特征及其地表重力响应.研究结果表明:CO2注入速率显著影响重力异常幅度,60 kg/s时最大重力响应达-15 μGal,且注入速率越大,重力变化值越早达到仪器检测阈值(如60 kg/s下仅需6 a);注入后阶段,重力场变化揭示了CO2羽流向浅层迁移及盐水饱和度动态分布规律.引入深度极值点(DEXP)多尺度分析方法,无需先验数据即可高效估算CO2封存质量,误差低于2%,显著优于传统高斯通量法.研究验证了时延重力监测在CO2封存动态追踪中的可行性,并提出了一种抗噪声干扰和计算高效的质量评估方法,为CCS项目的长期安全监测与定量评价提供了重要技术支撑.

The substantial emission of greenhouse gases dominated by CO2 has brought severe climatic challenges.Carbon capture and storage(CCS)is widely regarded as one of the most promising solutions to achieve carbon neutrality and address the ongoing climate crisis.To ensure the reliability and long-term integrity of CO2 geological storage projects,it is imperative to design precise site characterization and monitoring protocols during both CO2 injection and post-injection phases.This study focused on the CO2 storage site in saline aquifers of the Johansen Formation in Norway,proposing an innovative time-lapse gravity monitoring methodology to elucidate CO2 migration patterns and mass estimation during CO2 injection and post-injection stages.A three-dimensional geological model was constructed using numerical simulation software to analyze CO2 migration characteristics and surface gravity responses under varying injection rates(20,40,and 60 kg/s).Key findings reveal that CO2 injection rates critically influence gravity anomaly magnitudes,with the maximum response reaching-15 μGal at 60 kg/s.Higher injection rates accelerate the attainment of instrument detection thresholds(e.g.,6 years at 60 kg/s).Post-injection gravity field variations effectively delineate CO2 plume migration toward shallower strata and dynamic brine saturation redistribution.Furthermore,the implementation of a depth-based extreme point(DEXP)multi-scale analysis method enables efficient estimation of stored CO2 mass with less than 2%error without requiring prior data,demonstrating superior accuracy compared to conventional Gaussian flux methods.This research validates the technical feasibility of time-lapse gravity monitoring for dynamic CO2 storage tracking while introducing a computationally efficient mass estimation approach with enhanced noise immunity.The proposed methodology provides critical technical support for long-term safety monitoring and quantitative evaluation of CCS projects.

程培斋;董平川;张友恒;杨冰涛;马栋洋;穆军昌;王振硕

油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249||中国石油大学(北京)石油工程学院,北京 102249油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249||中国石油大学(北京)石油工程学院,北京 102249油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249油气资源与工程全国重点实验室 中国石油大学(北京),北京 102249

能源科技

CO2地质封存封存质量评估咸水层时延重力监测运移监测

CO2 geological storagestorage mass estimationsaline aquifertime-lapse gravity monitoringmigration monitoring

《油气地质与采收率》 2026 (2)

229-242,14

国家自然科学基金专项项目"CO2封存的地质体结构透明化表征方法与埋存场地选址"(42141009).

10.13673/j.pgre.202412031

评论