NEWTOWN, PA — EPAM Systems Inc. (NYSE: EPAM) and energy data provider TGS have deployed TGS’s Imaging AnyWare platform on Amazon Web Services, a move aimed at reducing computing costs and accelerating seismic data processing as energy companies seek faster analysis of increasingly large subsurface datasets.
The migration shifts portions of TGS’s seismic imaging operations from traditional infrastructure to cloud-based computing resources, allowing processing capacity to scale with project demand rather than relying on fixed hardware investments.
The deployment is part of a broader effort by TGS to modernize geoscience and imaging workflows and expand the use of artificial intelligence across exploration and production operations.
Energy companies face growing computational demands as seismic surveys generate increasingly large datasets that require significant processing power to analyze and interpret. Cloud-based systems offer access to on-demand computing resources that can reduce infrastructure costs while shortening processing times.
According to the companies, the platform incorporates cloud-native seismic imaging workflows running on AWS infrastructure and is designed to improve performance for selected imaging workloads while lowering computing expenses.
The initiative also includes TGS Data Verse, a centralized data-access platform that provides cloud-based access to seismic and well data, and EPAM’s Energy HPC Orchestrator, a workflow-management system designed to support modular subsurface analysis.
Jason Harman, EPAM’s senior vice president and head of business for energy in the Middle East, Africa and Asia-Pacific regions, said the project is intended to address technical and operational constraints that have historically limited digital transformation efforts in the energy industry.
“True digital transformation in energy requires partners who understand both the technical complexity and the operational realities of the sector,” Harman said.
The deployment reflects a broader trend across the energy sector as operators increasingly move data-intensive workloads to cloud environments to improve scalability, reduce costs and support AI-driven analysis.
TGS Executive Vice President of Technology Wadii El Karkouri said the project has improved the company’s cost-performance profile while providing greater operational flexibility for seismic imaging and data processing activities.
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