This study proposed a new geological modelling procedure for CO₂ storage assessment in offshore Vietnam by integrating artificial neural networks, co-kriging and object-based methods. These methods could solve the limitations of well data that have not been addressed by conventional modelling. Petrel software was used to build a geological model for comparing conventional and new modelling workflows. Moreover, the Eclipse simulator was used for CO₂ injection scenarios on the geological model of two workflows. The simulation results of CO₂ flow response corroborated that the new modelling workflow by showing better performance than the traditional modelling workflow. Thus, in the selected CO₂ storage sites, the new modelling workflow is preferred because it strongly enhances the CO₂ storage evaluation.

这项研究通过整合人工神经网络，协同克里格法和基于对象的方法，为越南近海的CO ₂封存评估提出了一种新的地质建模程序。这些方法可以解决常规建模尚未解决的井数据限制。Petrel软件用于构建地质模型，以比较传统建模流程和新建模流程。此外，Eclipse模拟器用于两个工作流程的地质模型上的CO ₂注入场景。CO ₂流动响应的仿真结果通过显示比传统建模工作流程更好的性能，证实了新的建模工作流程。因此，在选定的CO _2中储存地点，首选新的建模工作流程，因为它可以大大增强CO ₂储存评估。