CMG GEM Simulation Datasets for Underground Hydrogen Storage
收藏DataCite Commons2026-03-27 更新2026-05-05 收录
下载链接：
https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/SVSXDD
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资源简介：
The dataset consists of 3,300 paired inputs and outputs, designed to serve as a benchmark subsurface multiphase flow problem for scientific machine‑learning models training in the context of underground hydrogen storage.
Each input includes both field features and scalar parameters, and each output contains gas saturation and pressure‑buildup (psi) fields across 12 simulation time steps.
## Dataset structure
Field inputs have shape [3300, 192, 64, 3], where the last dimension corresponds to horizontal permeability kh (mD), porosity, and kv/kh.
Scalar inputs have shape [3300, 7], with the final dimension representing injection rate Q (scf/day), krw_max, krg_max, S_wi, S_gr, m, and n.
Output fields for gas saturation and pressure buildup each have shape [3300, 192, 64, 12], where 12 denotes the number of simulation time steps.
提供机构：
Texas Data Repository
创建时间：
2026-02-24
