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Turn subsurface complexity into decision advantage

Join us at EAGE 2026 (Booth #414) to see how Halliburton Landmark connects trusted data, proven science, and industrial-grade AI to help you:

  • Accelerate subsurface workflows with intelligent, embedded automation
  • Reduce uncertainty and make faster, more confident exploration decisions
  • Turn data into scalable, decision-ready earth models
  • From uncertainty to action, make every reservoir decision count

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Featured technologies

Technical sessions

Hall Time (BST) Session Title
Room 16 8:30 AM - 11:30 AM

Rock Physics-1

Biot’s Coefficient Revisited: A Lithology-Dependent Framework for Rock-Physics Modeling
Speaker: Dr Tanima Dutta, Principal Geophysicist

Room 10 8:50 AM - 9:10 AM

Petroleum Systems-1

Hydrocarbon Habitat of the Sirte Basin – Unlocking Exploration Opportunities
Speaker: Dr Joss Smith, Neftex® software specialist - Client Success

Room 12 3:10 PM - 3:30 PM

AI and ML from Outcrop to Borehole

Using Generative AI to Model Complex Reservoirs Conditioned to Subsurface Data
Speaker: Dr Estanislao Kozlowski, Scientist - Subsurface Modeler, CSEE

Hall Time (BST) Session Title
Digital Transformation Theatre 10:00 AM - 10:10 AM

Digital Transformation Theatre - Lightning Talks

Seismic Tiles "The Google Maps" for 4D Seismic
Speaker: Nam Nguyen, Senior Product Manager - Geophysics

Room 12 10:50 AM - 11:10 AM

AI and ML using leveraging data, learning and prediction

A Machine Learning Approach to Probabilistic Pay Prediction in Wells
Speaker: Dr Marc Servais, Principal Data Scientist

Digital Transformation Theatre 11:10 AM - 11:30 AM

Digital Transformation Theatre - Lightning Talks

4D Integration in Probabilistic Reservoir Modelling: A Powerful Aid to Better Prediction
Speaker: Dr William Cruz, Senior Consultant - RCoE

 

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