Rudy Lai
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AI @ Chevron

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

Summary

  • Chevron has progressively integrated AI and machine learning throughout its operations since at least 2022, moving from foundational AI exploration to advanced generative AI platforms and autonomous systems by 2025, leading to significant operational improvements and cost reductions.
  • Key initiatives include partnerships with companies like Eliis for seismic data interpretation, Honeywell for refining process optimization, and internal platforms like APOLO and ApEX that leverage AI to enhance drilling accuracy, accelerate drilling speed by 30%, cut drilling costs by up to 50%, and double well production while reducing exploration costs by 80%.
  • Chevron is also investing in AI-powered natural gas power plants to support AI data centers, forging strategic collaborations with Engine No.1, GE Vernova, and others, aiming for off-grid energy solutions that reduce electricity cost burdens, as detailed by CEO Mike Wirth in early 2026.

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5 AI Use Cases at Chevron

Exploration Automation
2025
Traditional
Generative
Agentic
Outcome
Revenue
With the ApEX generative AI platform, Chevron automates manual tasks in exploration data analysis, increasing access to insights and accelerating decision-making processes to enhance resource discovery and evaluation efficiency. [1]
Drilling Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
Chevron uses AI systems including the proprietary APOLO platform and generative AI tools like ApEX to analyze geological and exploration data. These systems optimize drilling locations, increase drilling speed by 30%, reduce costs by up to 50%, and double well production per rig by improving subsurface analysis and resource evaluation. [1][2][3]
Energy Supply
2025
Traditional
Generative
Agentic
Outcome
Costs
To meet the growing power needs of AI data centers, Chevron is using AI to optimize natural gas power plants that are directly connected to such data centers. This strategy includes building off-grid energy parks to provide reliable, cost-efficient electricity supporting AI workloads without passing high energy costs onto consumers. [1][2][3]
Refining Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
Chevron partners with Honeywell to develop AI-assisted solutions that optimize refining processes, improving operational efficiency, reducing cycle times, and enhancing product quality. [1]
Safety Enhancement
2023
Traditional
Generative
Agentic
Outcome
Risk
Chevron deploys AI-powered digital twins, simulations, and autonomous drone inspections to enhance operational safety. These AI systems relieve workers from dangerous tasks, detect anomalies in drilling and processing equipment, and provide predictive maintenance to prevent accidents and failures. [1][2]

Timeline

2026 Q1

1 updates

CEO Mike Wirth outlines strategy to develop off-grid natural gas energy parks powering AI data centers, shielding consumers from escalating AI-related electricity costs.

2025 Q4

2 updates

Launches proprietary AI platform APOLO for optimized drilling locations and generative AI platform ApEX to automate exploration data analysis; announces plans for West Texas 5,000 MW natural gas power plant to fuel AI data centers by 2027.

2025 Q3

1 updates

Chevron's AI systems drastically cut drilling costs (25-50%), increase drilling speed by 30%, double well output while slashing exploration costs up to 80%, driven by AI platforms like Triple-Frac and rockopedia for superior resource evaluation.

2025 Q2: no updates

2025 Q1

3 updates

Chevron invests in natural gas power to meet AI data center energy demands, partnering with Engine No. 1 and GE Vernova; also trials AI-powered drone inspections for anomaly detection and predictive maintenance.

2024 Q4

2 updates

AI enhances oil extraction efficiency in the Permian Basin, boosting profitability, productivity, and reducing cycle times; strategic partnership with Honeywell develops AI-assisted refining process solutions.

2024 Q3

2 updates

Chevron deploys generative AI, digital twins, and robotics to analyze large datasets for improved drilling predictions, safety, and environmental protection; notable U.S. regulatory implications follow Supreme Court decisions.

2024 Q2

2 updates

Expansion of collaboration with Eliis to develop advanced AI algorithms for seismic interpretation; Chevron decision impacts privacy and AI regulations nationally.

2024 Q1

1 updates

Partnership formation with Eliis to revolutionize AI in seismic interpretation, integrating AI technology into leading geoscientific tools to enhance resource assessment precision.

2023 Q4

1 updates

Focus on operational safety using AI-driven digital twins and simulations to enhance worker safety and operational efficiency, spearheaded by Ellen Nielsen.

2023 Q3

2 updates

Chevron joined the Responsible AI Institute, committing to efficient and responsible AI application, while aiming to embed AI across its value chain to boost efficiency, environmental stewardship, and safety.

2023 Q2: no updates

2023 Q1: no updates

2022 Q4

1 updates

Initial AI initiatives at Chevron were explored, supporting the company's strategic business goals with foundational AI adoption.