Data underlying the publication: AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage

This dataset contains 1,219 NetCDF files generated with the Delft Advanced Research Terra Simulator (DARTS) using geological models produced with AlluvsIm. Each file represents a distinct realization of channelized reservoirs and includes pressure, saturation, porosity, permeability, and component flow fields. The dataset supports research on geological carbon storage, enhanced oil recovery, and uncertainty quantification, and was created for the study "AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage" (IJGGC, 2024).

本数据集包含1219个NetCDF（网络通用数据格式）文件，均由代尔夫特高级研究Terra模拟器（Delft Advanced Research Terra Simulator, DARTS）基于AlluvsIm生成的地质模型构建而成。每个文件对应一个独立的河道型储层模拟实现，涵盖压力场、饱和度场、孔隙度、渗透率及组分流场数据。本数据集可支撑地质碳封存、强化采油与不确定性量化相关研究，其创建服务于题为《应用于地质碳封存的AI增强数据同化与不确定性量化》（IJGGC, 2024）的学术研究。