论文标题
安全地质碳固相的POMDP模型
A POMDP Model for Safe Geological Carbon Sequestration
论文作者
论文摘要
地质碳捕获和隔离（CCS），其中co $ _2 $存储在地下形成中，是一种有希望且可扩展的方法来减少全局排放。但是，如果做错了，它可能会导致CO $ _2 $回到地面的地震和泄漏，从而损害了人类和环境。这些风险因存储形成结构的大量不确定性而加剧。由于这些原因，我们建议将CCS操作建模为可观察到的马尔可夫决策过程（POMDP），并使用自动化计划算法来告知决策。为此，我们基于2D溢出点分析开发了CCS操作的简化模型，该模型保留了现实世界中问题的许多挑战和安全考虑。我们展示了现成的POMDP求解器在安全CCS计划方面的表现如何优于专家基线。该POMDP模型可以用作测试床，以推动CCS操作的新决策算法的开发。
Geological carbon capture and sequestration (CCS), where CO$_2$ is stored in subsurface formations, is a promising and scalable approach for reducing global emissions. However, if done incorrectly, it may lead to earthquakes and leakage of CO$_2$ back to the surface, harming both humans and the environment. These risks are exacerbated by the large amount of uncertainty in the structure of the storage formation. For these reasons, we propose that CCS operations be modeled as a partially observable Markov decision process (POMDP) and decisions be informed using automated planning algorithms. To this end, we develop a simplified model of CCS operations based on a 2D spillpoint analysis that retains many of the challenges and safety considerations of the real-world problem. We show how off-the-shelf POMDP solvers outperform expert baselines for safe CCS planning. This POMDP model can be used as a test bed to drive the development of novel decision-making algorithms for CCS operations.
