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TGS and Danomics Announce Strategic Partnership

22/04/2026

TGS, a global provider of energy data and intelligence, announced today a strategic integration with Danomics, a cloud-native subsurface interpretation platform. Together, they will deliver an integrated solution that enables geoscientists and engineers to seamlessly access and incorporate TGS licensed well data directly within the Danomics platform. This integration allows users to efficiently identify, load, and analyze subsurface data for petrophysical evaluation, geological mapping, and production analysis workflows.

The well data provided by TGS within Danomics includes a comprehensive range of datasets, including well headers, raster logs, digital LAS logs, enhanced LAS+ data, analytics-ready ARLAS datasets, mud logs, and lithology information. This integration eliminates the need for manual data aggregation, allowing users to rapidly move from data access to interpretation.

The integration will be delivered in multiple phases. The initial phase introduces a direct data connector, enabling users to import TGS well headers and logs within their Danomics projects. Future phases will expand capabilities to include core data, interpreted tops, rasters and production data.

David Hajovsky, Executive Vice President of Multi-Client at TGS, said, 
“This integration with Danomics represents a significant step forward in improving access to high-quality subsurface data within modern, cloud-based workflows. By embedding TGS data directly into the platform, we are enabling users to accelerate interpretation and make more informed decisions with greater efficiency.”

Cameron Snow, co-founder at Danomics, said, 
“We are excited to collaborate with TGS to bring one of the industry’s most comprehensive well and geologic data libraries into the Danomics environment. This integration enhances our ability to deliver scalable, automated subsurface workflows, allowing users to analyze large datasets quickly and effectively.”

KeyFactsEnergy Industry Directory: TGS  

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