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oa A Feature-Event-Process Framework for Mitigating Risks in CO2 Energy Storage and Sequestration Systems
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, World CCUS Conference 2025, Sep 2025, Volume 2025, p.1 - 5
Abstract
This study proposes a comprehensive risk mitigation framework for CO2-based electrothermal energy and geological storage (CEEGS), utilizing a feature-event-process (FEP) approach integrated with Monte Carlo (MC) simulations. The framework addresses risks spanning geological, technical, environmental, social, and economic domains. It employs normalized matrices to capture interdependencies among features, events, and processes, incorporating uncertainty through Gaussian noise. Risk propagation is modeled via FE, EP, and PR matrices, with one million MC simulation iterations yielding probabilistic risk distributions. Key findings indicate that geological uncertainties, such as fault reactivation and induced seismicity, along with equipment reliability issues, are the primary risk drivers. Inter-domain interactions further amplify these risks, as demonstrated by feature-event and event-process correlations. The study highlights the importance of site characterization, high-integrity equipment, and effective stakeholder engagement to ensure safe, scalable CEEGS deployment. Overall, the proposed FEP framework provides a quantitative tool for guiding decision-making in CO2 energy storage and sequestration systems.