Engineers spent weeks manually simulating drilling scenarios. Now, an AI agent evaluates billions of combinations to optimize well layouts.
An energy producer managing complex, hard-to-recover oil reserves must analyze millions of geological, physical, and economic parameters to plan extraction operations.
Engineers spent weeks manually testing variables in simulators to design multi-kilometer horizontal wells where the cost of error is immense. The...
“Инженеры проектируют многокилометровые горизонтальные скважины, где цена ошибки огромна. Традиционные методы, когда человек неделями перебирает варианты в симуляторах, перестали отвечать скорости бизнеса. ИИ-агент решает эту проблему: мы получаем точные математические решения в условиях высокой геологической неопределенности всего за несколько минут.”
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Integrated oil and gas company for exploration, production, and refining.
Gazprom Neft's Oil well design is part of this use case:
Related implementations across industries and use cases
Engineers spent weeks manually mapping well sites. Now, geospatial AI evaluates millions of permutations to maximize leasehold coverage.
Standard AI misinterpreted technical queries. A custom model trained on 154k vetted docs now delivers precise chemical insights.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Manual design took weeks to create personalized labels. AI generated 9,000 brand-safe variations in days.
Turning reports into assets took days. Agents now generate full campaigns—emails to social—instantly, cutting production time by 80%.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Engineers spent weeks manually simulating drilling scenarios. Now, an AI agent evaluates billions of combinations to optimize well layouts.
An energy producer managing complex, hard-to-recover oil reserves must analyze millions of geological, physical, and economic parameters to plan extraction operations.
Engineers spent weeks manually testing variables in simulators to design multi-kilometer horizontal wells where the cost of error is immense. The...
“Инженеры проектируют многокилометровые горизонтальные скважины, где цена ошибки огромна. Традиционные методы, когда человек неделями перебирает варианты в симуляторах, перестали отвечать скорости бизнеса. ИИ-агент решает эту проблему: мы получаем точные математические решения в условиях высокой геологической неопределенности всего за несколько минут.”
Also reported by
Integrated oil and gas company for exploration, production, and refining.
Gazprom Neft's Oil well design is part of this use case:
Related implementations across industries and use cases
Engineers spent weeks manually mapping well sites. Now, geospatial AI evaluates millions of permutations to maximize leasehold coverage.
Standard AI misinterpreted technical queries. A custom model trained on 154k vetted docs now delivers precise chemical insights.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Manual design took weeks to create personalized labels. AI generated 9,000 brand-safe variations in days.
Turning reports into assets took days. Agents now generate full campaigns—emails to social—instantly, cutting production time by 80%.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.