AI @ ExxonMobil
Summary
- ExxonMobil has progressively integrated AI across its operations since the 1980s, with significant advancements in using machine learning and data analytics to enhance oil and gas production efficiency, predictive maintenance, and safety protocols, leading to increased output and reduced downtime.
- From 2024 onward, ExxonMobil has pivoted towards leveraging AI-centric strategies not only to optimize internal processes but also to position itself as a leader in powering AI data centers via low carbon natural gas plants with carbon capture technology, targeting substantial cost savings ($15 billion by 2027) and emission reductions.
- Key leadership like Sarah Karthigan and executives including Andrew Curry have driven AI adoption, emphasizing autonomous AI agents and supercomputing integration, enabling ExxonMobil to sufficiently address energy demands of AI infrastructure while expanding its influence in AI energy domains and digital transformation partnerships.
VIBE METER
7 AI Use Cases at ExxonMobil
Digital Twins2025
Engineering Collaboration2025
Carbon Emission Reduction2024
Energy Demand Forecasting2024
Safety Enhancement2024
Production Optimization2024
Timeline
2026 Q1
Continued emphasis on AI-powered integration of diverse data sources like sensors and imagery to advance energy security and lower emissions, focusing on making AI benefits accessible and operationalizing data internally.
2025 Q4
Advanced collaborations and contracts including with TechnipFMC for AI-driven digital twins; focused on AI and supercomputing integration for reservoir modeling and seismic interpretation; ongoing talks to power and decarbonize AI data centers with low carbon natural gas with carbon capture technology; multi-company partnerships shaping AI infrastructure and energy demand.
- Investors.com: TechnipFMC Deal With Exxon And AI Moves Fuel Buy Point
- OilGasLeads.com: ExxonMobil: Using AI and Supercomputing to Unlock More Barrels
- CNBC: Exxon Mobil in talks to power data centers with natural gas and carbon capture
- PoliticoPro: NextEra teams with Google, Exxon in massive AI build-out
2025 Q3
ExxonMobil scaled oil and gas production to meet AI and data center energy needs; employed autonomous AI agents to cut costs, reduce emissions, and drive energy transition; formed partnerships with Google and NextEra for AI infrastructure build-out.
2025 Q2: no updates
2025 Q1
Partnership with CoLab Software advanced AI-assisted engineering design collaboration for offshore oil rigs.
2024 Q4
Engaged in powering AI data centers via natural gas plants with carbon capture, marking collaboration between oil and tech sectors; targeting $15B operating cost savings by 2027 through AI and process automation.
2024 Q3
Implemented AI-driven technology roadmaps to optimize oil and gas production in locations from Guyana to Australia.
2024 Q2
Machine learning workflows increased production output by over 5% in Bakken gas lift fields; AI enhanced safety protocols to reduce workplace accidents.
2024 Q1: no updates
2023 Q4: no updates
2023 Q3
Established a secure data strategy to identify AI-ready datasets; employed AI in predictive maintenance reducing unplanned downtime and labor costs.
2023 Q2: no updates
2023 Q1
ExxonMobil applied AI to integrate siloed data facilitating faster and more efficient oil well development.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2: no updates
2022 Q1: no updates
2021 Q4
Leadership spotlight: Sarah Karthigan led AI projects focusing on self-healing IT operations strategies.
2021 Q3: no updates
2021 Q2
Partnership with Microsoft Azure enabled using IoT and ML to reduce downtime and boost productivity across operations.
2021 Q1: no updates
2020 Q4
Initial AI foundations: ExxonMobil started studying AI and networking equipment since the 1980s, with its AI efforts visible in collaborations such as with Intel focusing on edge computing.