Rudy Lai

AI @ ConocoPhillips

Focus on upstream oil & gas
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • ConocoPhillips has progressively integrated advanced AI and machine learning technologies into its exploration, drilling, and operational optimization processes since 2021, achieving cost reductions and efficiency gains notably in the Permian Basin and Lower 48 operations.
  • From 2023 onwards, the company expanded deployment of digital twin technology and AI-driven workflows company-wide, supported by multiple patents in AI-related innovation, leadership by CEO Ryan Lance, and active collaboration with partners such as Schlumberger and Wyld Networks.
  • By 2025, AI technologies have become central to ConocoPhillips' strategic operations with leadership focus on AI’s role in decision making and resource optimization, although workforce reductions linked to AI automation sparked public discussions; financial analysts have mixed outlooks on the company's AI-related growth potential.

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5 AI Use Cases at ConocoPhillips

Decision Automation
2024
Traditional
Generative
Agentic
Outcome
ConocoPhillips has developed AI and machine learning workflows that autonomously analyze geological, completion, and performance data, speeding up development decisions and resource allocation particularly in shale assets. [1][2]
Reservoir Modeling
2024
Traditional
Generative
Agentic
Outcome
Revenue
The company utilizes AI-driven predictive modeling and real-time data analysis to improve reservoir management and drilling site identification, enhancing resource extraction efficiency. [1][2]
Digital Twins
2023
Traditional
Generative
Agentic
Outcome
Costs
Deployment of portfolio-wide digital twin technology supports monitoring and management of wells, artificial lift systems, and mature fields, enabling predictive maintenance and operational improvements. [1][2]
Operational Optimization
2023
Traditional
Generative
Agentic
Outcome
Costs
ConocoPhillips applies machine learning models to optimize drilling parameters and operational workflows, leading to increased drilling efficiency and cost reduction in various oilfields including the Lower 48 and Permian Basin. [1][2][3]
Data Analysis
2023
Traditional
Generative
Agentic
Outcome
Revenue
AI-powered data analysis capabilities process vast seismic and geological datasets efficiently to identify drilling locations and optimize supply chain considerations in oil and gas operations. [1][2]

Timeline

2025 Q4

1 updates

Morgan Stanley reduced price targets on ConocoPhillips citing better upside in other AI-related stocks despite recognizing ConocoPhillips’ AI potential.

2025 Q3

3 updates

Leadership under CEO Ryan Lance emphasizes AI’s role; AI-powered transformation reported; large language models are used to autonomously extract critical information; AI-driven layoffs and workforce reshaping noted; company evaluates data center partnerships aligned with AI data demand.

2025 Q2: no updates

2025 Q1

3 updates

Broad industry discussion on AI's intersection with oil and gas; ConocoPhillips analyzed for its AI market strategy and AI-driven energy demand; use of AI models in artificial lift optimization highlighted.

2024 Q4

1 updates

Market recognition as an AI growth stock; digital data and AI being actively used although details limited; monitoring of AI-driven trends impacting the company's valuation and positioning.

2024 Q3

3 updates

Implemented AI and ML automated workflows enhancing decision-making for Permian Basin assets; integrated geological, completion, and performance data for improved development speed; utilized AI data for plug and abandonment planning.

2024 Q2

2 updates

Continued AI patent activity including technologies for resource development; disclosed considerations on AI impact and sustainability targets in stockholder meeting.

2024 Q1

3 updates

Showcased innovative AI-driven predictive modeling and real-time data analysis for reservoir challenges; held five AI-related patents; expanded machine learning use in geological data interpretation to identify drilling sites.

2023 Q4

2 updates

Company-wide adoption of digital twin technology across portfolio, improving management of artificial lift, well interventions, and mature fields with AI and data analytics.

2023 Q3

2 updates

Operational optimization in the Lower 48 achieved via machine learning models leading to more than 60 feet gained per day in drilling; new partnership with Wyld Networks announced to leverage AI technologies.

2023 Q2: no updates

2023 Q1: no updates

2022 Q4: no updates

2022 Q3: no updates

2022 Q2: no updates

2022 Q1

1 updates

Enterprise-wide deployment of Schlumberger’s cloud-based DELFI cognitive E&P environment, integrating AI and cloud workflows for exploration and production efficiency.

2021 Q4: no updates

2021 Q3: no updates

2021 Q2: no updates

2021 Q1

1 updates

Initiation of advanced seismic processing and machine learning platforms spearheaded by ConocoPhillips, leveraging Spark for high-performance computing in seismic data analytics.