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TGS AI Model Drives Subsurface Interpretation For International Oil Company

TGS, a leading provider of energy data and intelligence, has been awarded a multi-year contract by an international oil company (IOC) for the development and delivery of AI-powered seismic foundation model capabilities and intelligent…

Ocean News & Technology

Publisher

Aug 18, 2026 at 3:30 PM UTC · Updated vor 2 Tagen · 1 Min. Lesezeit

TGS AI Model Drives Subsurface Interpretation For International Oil Company
Image via Ocean News & Technology
Übersetzung…

TGS, a leading provider of energy data and intelligence, has been awarded a multi-year contract by an international oil company (IOC) for the development and delivery of AI-powered seismic foundation model capabilities and intelligent subsurface interpretation.

The multi-year contract will leverage TGS Seismic Foundation Model (TGS SFM) to accelerate structural and stratigraphic interpretation, enhancing subsurface evaluation and interpretation across selected exploration and development workflows.

The TGS Seismic Foundation Model is an AI model trained on TGS’ global seismic multi-client library to learn geological patterns directly from seismic data. It helps interpreters work faster and more consistently by supporting a wide range of subsurface interpretation workflows.

Kristian Johansen, CEO of TGS, commented: “We are very pleased to be awarded this multi-year contract, which demonstrates the growing commercial adoption of the TGS Seismic Foundation Model among international oil companies. By combining our extensive seismic data expertise with advanced artificial intelligence, we are enabling customers to transform how subsurface data is interpreted and how insights are generated at scale. This contract represents a significant commercial deployment of the TGS Seismic Foundation Model and reinforces TGS’ position at the intersection of energy data, AI and intelligence.”

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Originally reported by Ocean News & Technology

NewsLayer coverage based on externally reported material.

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