LIFE2026

Insights to outcomes: Built on science, fueled by AI

To discover new resources faster, reduce costs, and improve recovery rates, our industry must accelerate the journey from insights to outcomes.

Join us at LIFE2026 to see how we make this transformation possible by integrating AI into our science, enterprise software, and industry-leading data management capabilities.

LIFE2026 will feature keynotes from industry thought leaders, interactive workshops, and exciting panel discussions. Attendees can also experience real-world demonstrations of our technologies that shape the future of energy.

We invite you to be part of the conversation.

Technology in action

Sign up for technical success stories intended for end users led by our industry experts:

• Unlocking hidden value - Smarter subsurface decisions with data & AI: Learn how advanced subsurface characterization combines high-resolution data, digital integration, and AI analytics to improve reservoir understanding and accelerate exploration success. See real-world examples of machine learning applied across geology, geophysics, and petrophysics to deliver actionable insights and smarter decisions throughout the asset lifecycle.
  
  
• AI-driven asset management: Real-time decisions from dynamic data: Discover how DecisionSpace^® 365 and Unified Ensemble Modeling (UEM) transform asset management. Learn how unified digital twins integrate reservoir, well, and facility data for real-time optimization and emissions management. See how UEM combines multiple models into a single probabilistic framework to improve decision confidence, reduce costs, and accelerate time to first oil.
  
  
• Smart well construction - AI and data for safer, faster delivery: See how Halliburton’s Digital Well Program^™ is transforming well planning and design. Through integrated workflows, engineering automation, and open architecture, operators achieve superior drilling performance, reduce non-productive time, and improve safety—all while saving valuable engineering hours.

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