Rudy Lai

AI @ Chevron

Major U.S. integrated energy firm
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Chevron has progressively integrated AI across its operations from 2022 through 2025, focusing on improving operational efficiency, safety, and environmental stewardship while expanding into AI-powered energy solutions.
  • Key collaborations include partnerships with Eliis for seismic interpretation, Honeywell for refining processes, and Engine No. 1 with GE Vernova to power AI data centers using natural gas, indicating a strategic expansion into AI-driven energy infrastructure.
  • Leadership figures such as Ellen Nielsen have been pivotal in deploying digital twin and simulation technologies to enhance safety and operational productivity, with AI applications evolving from traditional data analytics to advanced generative AI and agentic systems by 2025.

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5 AI Use Cases at Chevron

Energy Supply Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
Chevron is integrating AI with natural gas power plants to reliably supply energy to AI data centers, optimizing energy production to meet high-demand fluctuations while supporting sustainability goals. [1][2]
Drone Inspection
2025
Traditional
Generative
Agentic
Outcome
Costs
Chevron collaborates with Percepto to utilize pre-programmed drones equipped with AI anomaly detection that autonomously identify and alert for irregularities in infrastructure, reducing inspection times and enhancing asset monitoring. [1]
Operational Efficiency
2024
Traditional
Generative
Agentic
Outcome
Revenue
Chevron uses AI to analyze large datasets and optimize its oil and gas production processes, reducing cycle times and identifying the most productive extraction opportunities, thereby increasing overall efficiency. [1][2]
Seismic Interpretation
2024
Traditional
Generative
Agentic
Outcome
Risk
In partnership with Eliis, Chevron applies advanced algorithmic models to interpret seismic data more accurately and rapidly, improving exploration decision-making processes and reducing exploratory risks. [1][2]
Safety Enhancement
2023
Traditional
Generative
Agentic
Outcome
Risk
Through digital twins and AI simulations led by Ellen Nielsen, Chevron is enhancing operational safety by automating monitoring tasks and reducing risks associated with manual, time-intensive work in dangerous environments. [1]

Timeline

2025 Q4: no updates

2025 Q3

1 updates

Chevron recognized for early AI adoption, partnering with MIT for bespoke training programs; detailed AI strategy analysis indicates positioning for AI leadership in energy.

2025 Q2: no updates

2025 Q1

6 updates

Chevron expands into AI-powered energy infrastructure, building natural gas plants to supply power for AI data centers; pilots AI-driven drone inspection technology with Percepto.

2024 Q4

2 updates

AI-driven productivity and profitability improvements in the Permian Basin; strategic collaboration with Honeywell for AI-assisted refining solutions.

2024 Q3

4 updates

Chevron adopts generative AI, digital twins, and robotics for data analysis, operational prediction, and worker & environmental protection; Supreme Court decision ends Chevron Doctrine affecting AI regulation discourse.

2024 Q2

2 updates

Chevron's decisions impact AI privacy and regulatory frameworks; continued collaboration with Eliis advances AI seismic technology commercialization.

2024 Q1

1 updates

Partnership with Eliis to incorporate AI-driven seismic interpretation, enhancing geoscientific data analysis capabilities.

2023 Q4

1 updates

Focus on operational safety enhancements with AI, featuring digital twins and simulations led by Ellen Nielsen.

2023 Q3

2 updates

Chevron joined the Responsible AI Institute and emphasized leveraging AI across the value chain for efficiency, environmental care, and safety improvements.

2023 Q2: no updates

2023 Q1: no updates

2022 Q4

1 updates

Introduction of AI initiatives focusing on business goal alignment and initial use cases demonstrating operational support.