SiliciclasticReservoirs 1,000,000 synthetic 3D siliciclastic reservoir geology cubes generated from rule based sedimentological simulations (turbidite lobes + 6 fluvial channel architectures + delta fan distributary). Cubes are voxelized at (64, 64, 32) cells. Each sample carries facies, porosity, permeability, and a structured set of geological conditioning parameters. Designed to train conditional generative models (flow matching, diffusion, etc.) of subsurface geology under interpretable physical conditioning. Quick stats 1,000,000 samples across 8 reservoir architectures Cube shape: (64, 64, 32) voxels — (x, y, z) , z is depth (0 = base) 4 voxel arrays per sample: binary facies, 6 class facies, porosity, permeability Compact slim parquet (9–12 cols) and full reproducibility parquet (25–75 cols) Captions for text conditioning experiments Fully reproducible — every sample regenerable from (seed, params) File structure 256 shards per preset, each ~380 MB – 1.2 GB depending on per shard sample count. Layer types layer type architecture samples lobe turbidite lobe (deep water gravity flow deposit) 200,000 channel:PV SHOESTRING paleo valley shoestring sandstone 100,000 channel:CB JIG…
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