Large-scale implementation of geologic carbon storage (GCS) to help reduce atmospheric greenhouse gas emissions requires stakeholder confidence that injected CO₂ will remain contained and that potential subsurface environmental risks are acceptably small and manageable. The U.S. Department of Energy's National Risk Assessment Partnership (NRAP) has developed an open-source integrated assessment model (NRAP-Open-IAM) to help address questions about a potential GCS site's ability to effectively contain injected CO₂ and protect groundwater and other overlying environmentally sensitive receptors. NRAP-Open-IAM allows a user to: (1) incorporate relevant site geologic and injection scenario data; (2) characterize important site features and events; (3) couple fast prediction models of various system components of the engineered geologic system; and (4) execute stochastic, dynamic simulation of whole GCS system performance, leakage risk assessment, and uncertainty quantification. NRAP-Open-IAM is available on GitLab (https://gitlab.com/NRAP/OpenIAM), and is accompanied by multiple application examples and detailed user and developer guides.

大规模实施地质碳储存 (GCS) 以帮助减少大气温室气体排放需要利益相关者相信注入的 CO ₂将保持受控，并且潜在的地下环境风险小且可控。美国能源部的国家风险评估伙伴关系 (NRAP) 开发了一种开源综合评估模型 (NRAP-Open-IAM)，以帮助解决有关潜在 GCS 站点有效控制注入的 CO ₂的能力的问题并保护地下水和其他上覆的环境敏感受体。NRAP-Open-IAM 允许用户： (1) 合并相关站点地质和注入场景数据；(2) 表征重要的场地特征和事件；(3) 耦合工程地质系统各系统组成部分的快速预测模型；(4) 执行整个 GCS 系统性能的随机、动态模拟、泄漏风险评估和不确定性量化。NRAP-Open-IAM 在 GitLab (https://gitlab.com/NRAP/OpenIAM) 上可用，并附有多个应用程序示例以及详细的用户和开发人员指南。