AI-133 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceOMV’s Norwegian CCS pilot uses decision theory and geostatistics with Stanford and TerraAI.
OMV reports over 25% higher project value, around 50% less quantified subsurface risk and simulations up to 1,000 times faster. These are early internal planning claims, not realized production or net ROI.
No metric definitions, comparator details, validation sample or complete costs. The wider six-year Stanford sponsorship is not this pilot’s cost. Pilot remains separate from NAIC document search (AI-132).
Test whether the selected plan works after execution. Faster scenario analysis and early project-value claims are not collected cash.
Linked announcement / report text
Sections: 1,000 times faster; Creating value while reducing risk; A discussion partner, not a decision maker
OMV is testing agents with Stanford and TerraAI for Norwegian low-carbon field development.
No metric definitions, comparator details, validation sample or complete costs. The wider six-year Stanford sponsorship is not this pilot’s cost. Pilot remains separate from NAIC document search (AI-132).
OMV’s Norwegian CCS pilot uses decision theory and geostatistics with Stanford and TerraAI. Seismic, geological and well data feed scenario planning for drilling, injection and monitoring. Engineers challenge assumptions and validate recommendations. OMV explicitly distinguishes this analytical system from generative AI.
No metric definitions, comparator details, validation sample or complete costs. The wider six-year Stanford sponsorship is not this pilot’s cost. Pilot remains separate from NAIC document search (AI-132).
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.