Mentioned in 13 AI use cases across 1 industries
Uses AI to combine technical and commercial subsurface data so energy teams can decide faster where to invest capital.
AI can help make newer clean-energy technologies cheaper by improving design, planning and operations.
An AI system helps energy teams combine underground technical data with commercial data so they can decide faster where to invest money.
Instead of only looking at the few factors a person picks, the system checks all relevant field information together to avoid missing better matches.
An AI system scans global subsurface discovery data to find offshore oil fields that look like Namibia’s Venus reservoir, helping analysts judge whether a hard-to-produce field can still work commercially.
Wood Mackenzie provides emissions and carbon data so companies can understand pollution risks and choose better decarbonization actions.
Companies plug external energy data and analytics into their own systems through APIs, then use AI internally to make faster market and operational decisions.
AI helps combine underground technical data with business data so energy companies can decide more quickly where to spend money.
Before drilling, the tool estimates how much a prospect could be worth so companies can decide which opportunities deserve money and attention.
The analysis shows which state-run oil fields have the biggest gap between current performance and what similar fields achieve, helping companies spot where partnerships could unlock more oil.