Turn subsurface data into trusted intelligence

How many missed-pay intervals are sitting in data you already own?

See how EarthNET screened 2,205 Norwegian Continental Shelf wells at once and turned decades of public data into a ranked shortlist of overlooked reservoir opportunities, at a scale no manual review could reach.

What if a thin interval in a single well is actually 20 m of pay?

See how EarthNET combined AI predictions from well logs with seismic interpretation and geological review at Byrding, picking out an overlooked Intra-Draupne reservoir that later drilling confirmed. 

Connected data leads to better decisions, faster work, and knowledge that keeps growing.

See how EarthNET brings your well, seismic, image, and interpretation data into one AI-assisted platform, so your team spends less time wrangling data and more time interpreting it.

From data to discovery: AI-assisted identification of missed-pay opportunities

AI helped find it. Geoscientists confirmed it. Drilling proved it. In this edition of World Oil, our co-founders explain how AI-assisted workflows give geoscientists a second look at oil that past reviews missed.