AI @ ConocoPhillips
Summary
- ConocoPhillips has steadily increased AI adoption from 2021 through early 2026, integrating machine learning and advanced analytics widely across exploration, drilling optimization, reservoir management, and operational decision-making.
- Key initiatives include enterprise-wide deployment of the Schlumberger DELFI cognitive E&P platform (2022), global roll-out of digital twin technology for operational simulations (2023-2024), and the use of AI-driven workflows in Permian Basin assets to improve decision speed and reduce operational costs (2024-2025).
- By 2025, AI investment underpins significant workforce reductions (~3,200 layoffs, around 25% of employees) aimed at boosting efficiency and cost savings; leadership emphasizes AI's role in operational efficiency, data quality improvements for systems like SAP S/4HANA, and positioning the company amid evolving AI-driven energy demand cycles.
VIBE METER
5 AI Use Cases at ConocoPhillips
Workforce Efficiency2025
Operational Decision2024
Reservoir Management2024
Digital Twins2023
Drilling Optimization2023
Timeline
2026 Q1
ConocoPhillips continues to realize tangible benefits from AI investments enhancing operational safety and decision-making, with industry commentary noting generally slow ROI across oil and gas but highlighting ConocoPhillips' successes.
2025 Q4
Continued progressive integration of advanced AI and machine learning in exploration, drilling, and operational optimization; highlighted in industry reports and stock analysis, with CEO Ryan Lance active in equity markets amid this technological transformation.
2025 Q3
AI-powered transformation accelerated with large language models automating vital data extraction; leadership Pragati Mathur emphasized moving from AI potential to performance; company underwent major layoffs (~25%) leveraging AI for operational cost savings and efficiency gains.
- OnePetro Conference: Efficient Field Development Decisions Driven by AI
- CIO.com: AI-powered transformation at ConocoPhillips is fueling the future
- KHOU: ConocoPhillips layoffs spark big debate about AI and Houston energy jobs
- Industrial Info: ConocoPhillips Staff Cuts Follow Industry Trend in Difficult Market
2025 Q2: no updates
2025 Q1
ConocoPhillips reported mixed outlook on AI-driven natural gas demand with focus on LNG strategy; workforce reductions of up to 3,200 jobs (~25%), with leadership highlighting AI investments as key for cost savings, operational efficiency, and future competitiveness.
- Monexa AI: ConocoPhillips Market Outlook: AI Demand, Inflation & Operating Environment
- ConocoPhillips: 2024 Annual Report
- OPX Ai: Importance of High-Quality Data for Plunger Lift Optimization
- AInvest: ConocoPhillips: Mixed Outlook on AI-Powered Gas Demand
- Monexa AI: ConocoPhillips: Market Strategy and AI Energy Demand
- OGLawyers: The Intersection of AI and the Oil & Gas Industry
2024 Q4
ConocoPhillips recognized as one of the AI growth stocks by UBS investors; digital transformation initiatives included SAP S/4HANA clean core foundation to enhance quality data for AI and machine learning applications.
2024 Q3
Launched AI-powered workflows integrating geological, completion, and performance data for Permian Basin assets, enabling faster, more economical decision-making; partnered with Raptor Data for plug and abandonment solutions leveraging AI.
2024 Q2
ConocoPhillips secured additional AI-related patents related to resource development systems and methods; the company publicly addressed AI and electrification as key trends in its 2024 stockholder meeting.
2024 Q1
ConocoPhillips presented advancements in predictive modeling and real-time reservoir data analysis, applied for AI patents including methods using shut-in pressures in reservoir management, highlighting continued innovation in AI research.
2023 Q4
Successful pilots led ConocoPhillips to adopt portfolio-wide digital twin technology covering artificial lift, well intervention, and oilfield chemistry using AI, machine learning, and data mining to enhance mature fields and production.
2023 Q3
ConocoPhillips signed agreements with Wyld Networks to enhance AI networking capabilities and utilized machine learning models to optimize Lower 48 drilling operations, resulting in efficiency gains including drilling crews advancing over 60 feet more per day.
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 exploration and production environment at ConocoPhillips enabled advanced digital transformation and cognitive E&P capabilities.
2021 Q4: no updates
2021 Q3: no updates
2021 Q2: no updates
2021 Q1
ConocoPhillips launched a comprehensive seismic processing and machine learning platform leveraging Apache Spark to handle data and interprocess communications for seismic HPC workloads.