Modeling of convective mixing of CO2 in deep saline aquifers: evaluation of Taylor dispersion and effect of capillary pressure

深层咸水层中 CO2 对流混合的模拟：泰勒色散和毛管压力影响的评估

• 批准号: 380889-2010
• 负责人: Hassanzadeh, Hassan
• 金额: $ 1.6万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=484838
• 关键词: Modeling; convective; mixing; CO2; deep

Geological storage of CO2 is one of the main components of climate change mitigation strategies. If geostorage is to play a major role in managing emissions, it will be necessary to inject large amount of CO2 into secure geological formations. Prediction of the fate of injected CO2 is necessary to develop and demonstrate the storage technology. Estimating storage capacity, leakage mechanisms and risk assessment need knowledge of various aspects of subsurface CO2 migration.

二氧化碳的地质存储是缓解气候变化策略的主要组成部分之一。如果GeoStorage是在管理排放中发挥重要作用，则有必要将大量CO2注入安全地质地层。注射二氧化碳命运的预测对于开发和演示存储技术是必要的。估计存储能力，泄漏机制和风险评估需要了解地下CO2迁移的各个方面的知识。