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TGS collaboration with AWS to transform exploration and development

The collaboration will help reduce exploration uncertainty for customers. (Image source: Adobe Stock)

Technology

TGS has announced an agreement with Amazon Web Services (AWS) which is set to accelerate its AI/ML-driven seismic imaging and analytics, enabling subsurface data to be more swiftly translated into actionable insights

Under the agreement, TGS will build on its existing relationship with AWS by designating AWS as its preferred cloud provider, leveraging AWS high-performance computing (HPC) and Generative Artificial Intelligence (AI) to build solutions that will transform exploration and development by accelerating time-to-insight and reducing exploration uncertainty for TGS' customers.

This collaboration includes the modernisation of TGS Imaging AnyWare on AWS and leveraging cloud elasticity to further optimise processing workflows. By leveraging the latest NVIDIA instances and selectively adopting specialized AWS hardware accelerators, TGS enables high-definition seismic imaging, including compute-intensive Elastic Full Waveform Inversion (eFWI), and delivers petabyte-scale multi-client data to customers on demand. These solutions are built on a secure, elastic, and resilient multi-region architecture, leveraging the AWS Nitro System to isolate and protect sensitive customer workloads.

"This partnership represents the moment when the power of Generative AI meets the complexity of geoscience,' said Kristian Johansen, CEO of TGS. "By moving TGS Data Verse, the largest subsurface seismic library, and the TGS Imaging AnyWare platform to AWS, we are co-innovating to deliver an exploration-ready atlas of the subsurface. This collaboration translates subsurface data into strategic intelligence with unprecedented scale and speed, marking a fundamental shift that will accelerate prospect generation and create competitive advantages for our customers."

TGS is deploying a multi-modal Subsurface Foundation Model (SFM) built on Amazon Bedrock and powered by Amazon SageMaker HyperPods, which will simultaneously process diverse data types, to achieve a comprehensive subsurface understanding.

"TGS' selection of AWS as their preferred cloud provider demonstrates how industry leaders are leveraging cloud computing and generative AI to transform energy exploration," said Uwem Ukpong, vice president, AWS Industries. "By combining AWS advanced computing and AI capabilities with TGS' domain expertise and extensive energy data library, energy companies can unlock greater value from seismic data. Additionally, through Open Subsurface Data Universe (OSDU) Energy Data Integration with TGS, companies across the energy sector can seamlessly integrate data, optimise exploration workflows, reduce risk, and make more confident decisions through intelligent analysis of complex subsurface data."