AI @ ConocoPhillips
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.
VIBE METER
5 AI Use Cases at ConocoPhillips
Decision Automation2024
Reservoir Modeling2024
Digital Twins2023
Operational Optimization2023
Timeline
2025 Q4
Morgan Stanley reduced price targets on ConocoPhillips citing better upside in other AI-related stocks despite recognizing ConocoPhillips’ AI potential.
2025 Q3
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
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
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
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
Continued AI patent activity including technologies for resource development; disclosed considerations on AI impact and sustainability targets in stockholder meeting.
2024 Q1
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
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
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
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
Initiation of advanced seismic processing and machine learning platforms spearheaded by ConocoPhillips, leveraging Spark for high-performance computing in seismic data analytics.