AI @ ConocoPhillips
Summary
- ConocoPhillips has consistently expanded its application of AI and digital technologies from 2021 through 2025, integrating AI-enabled platforms like seismic HPC, cloud-based DELFI environment, and digital twins to optimize exploration, drilling, and production operations, leading to operational efficiency gains such as drilling optimization by over 60 feet per day.
- Key leadership, including CEO Ryan Lance and Chief Digital and Information Officer Pragati Mathur, have driven a strategic push towards AI adoption including AI patent filings (five in Q4 2023 and three in Q1 2024) and using AI/ML workflows for decision-making especially in the Permian Basin, underscoring AI’s role in cost reduction and risk mitigation.
- By 2025, ConocoPhillips is leveraging advanced AI workflows and agentic AI models for autonomous data extraction and decision support while navigating workforce adjustments influenced by AI-driven automation, highlighting a transformative phase balancing innovation with workforce impact.
VIBE METER
5 AI Use Cases at ConocoPhillips
Decision Automation2025
Market Forecasting2025
Exploration Optimization2024
Digital Twins2023
Operational Efficiency2023
Timeline
2025 Q4: no updates
2025 Q3
Announced workforce reductions up to 3200 jobs linked to AI-driven operational efficiency; deployed agentic AI models autonomously extracting and processing vital data; senior leadership including Pragati Mathur highlighted AI's transformative role.
- KHOU: ConocoPhillips layoffs spark big debate about AI and Houston energy sector
- OnePetro: Efficient Field Development Decisions Driven by Artificial Intelligence
- CIO: AI-powered transformation at ConocoPhillips is fueling the future
- Interview Query: Conocophillips AI Research Scientist Interview Guide
2025 Q2: no updates
2025 Q1
Highlighted market strategy analyses linking AI demand to energy markets; used AI for plunger lift optimization and energy demand forecasting; emphasized the role of AI in industry transformation amid market volatility.
2024 Q4
Featured in AI-related stock and investment analyses emphasizing ConocoPhillips' positioning in AI-driven energy market dynamics.
2024 Q3
Advanced use of automated AI and ML workflows enhanced decision-making efficiency and economic outcomes for Permian Basin assets; engaged with Raptor Data for plug and abandonment operations.
2024 Q2
Reported ongoing AI-related patent activities and strategic consideration of AI alongside broader electrification and sustainability efforts.
2024 Q1
Filed multiple AI-related patents focused on optimizing shut-in pressure management; expanded use of machine learning algorithms for geological data analysis to identify drilling sites; held conferences to highlight AI's role in transforming reservoir challenges.
2023 Q4
Initiated portfolio-wide adoption of digital twin technology across major asset classes to improve operational visibility and decision-making.
2023 Q3
Use of machine learning models to optimize operational parameters in the Lower 48 operations, improving drilling performance by more than 60 feet per day; also signed an AI-related agreement with Wyld Networks.
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 to enhance exploration and production efficiency.
2021 Q4: no updates
2021 Q3: no updates
2021 Q2: no updates
2021 Q1
Launched a comprehensive seismic processing, data analytics, and machine learning platform leveraging Spark for interprocess communication and enhanced data handling.