Data source
Data from Equinor, delivered clean.
6 datasets pulled from Equinor's releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.
- 6 datasets
- 2 industrys
- Real rows on request
Integrated Oil Gas
4Equinor Volve Open Field Dataset
Norwegian Offshore Directorate FactPages
3W Dataset 2.0.0 (Oil Well Events)
Open Industrial Data Project (Valhall)
Oil & Gas Exploration & Production
2Volve Open Field Dataset
NSTA UKCS Open Data (Wells, Production, Seismic, Infrastructure)
Pick a catch, see the rows.
Name any Equinor dataset and we send real rows from it — not a screenshot of rows. 1,744 datasets. Pick your catch.
Get a sampleAPI, files, or your warehouse. Daily, weekly, or hourly.
Straight answers about Equinor data
What does Datadory deliver from Equinor?
Two cataloged collections, both releases of the same asset. The Volve Open Field Dataset packages roughly 100 GB across five families - daily per-well production, LAS/DLIS well logs, SEG-Y seismic, RMS reservoir models and PVT analysis. The Equinor Volve Open Field Dataset sizes the same release at roughly 40,000 files and adds WITSML drilling streams, wellheaders and operations reports.
Which wells and years does Equinor's Volve coverage include?
Coverage follows the Volve development in block 15/9 of the Norwegian North Sea, wells carrying the 15/9 prefix typical of the block. Production began in 2008 and ceased before the 2018 release; logs, seismic, drilling streams and models all fall inside the same field-lifetime window, making it a closed historical record.
Why do machine-learning papers use this Equinor field so often?
Because it is real, complete and shared. Production forecasting, water-breakthrough and automated log interpretation all need ground truth at input and output - Volve supplies measured logs, seismic and models beside actual produced volumes, so results are reproducible and comparable across studies in a way proprietary fields never allow.
Can both Equinor datasets be evaluated before committing?
Yes. Name the families and date ranges you care about and Datadory returns a sample shaped to the published dictionary - production rows, log curves, seismic metadata or model file inventories. Column naming locks at sample validation, and delivery cadence is chosen after the sample checks out, not before.