Data · dataset · 2026
NGH-Seis v1.0: A physics-based synthetic marine seismic dataset for gas hydrate and free-gas characterization
Listed in ScienceDB
NGH-Seis v1.0 is a physics-based two-dimensional synthetic marine seismic dataset designed for gas-hydrate and free-gas characterization.
Description
It contains 1,000 quality-controlled geological realizations balanced across five geological scenario families. Each realization links geological and petrophysical fields, P-wave velocity, density, acoustic impedance, hydrate saturation, free-gas saturation, 25-shot towed-streamer observations, an independently generated reverse-time-migration image, spatial masks, coordinates, and generation metadata.
The dataset provides a stratified 800/100/100 IID training, validation, and test split, together with five leave-one-family-out structural-OOD folds. It supports two benchmark tasks: reconstruction of P-wave velocity and acoustic impedance, and estimation of hydrate and free-gas saturation. All realizations are synthetic outputs of two-dimensional variable-density acoustic simulations and should not be interpreted as a digital twin or site-specific inversion of a particular marine area.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.013j7 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Geophysics 71% · Image 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.013j7 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3706 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |