EPAM and TGS Join Forces to Propel AI Integration in Energy Sector Operations

Strategic Collaboration Between EPAM and TGS



In the ever-evolving landscape of the energy sector, the need for efficient data utilization has never been more pressing. Energy companies are continually seeking ways to extract meaningful insights from subsurface data to enhance decision-making processes. To address this demand, EPAM Systems, Inc., a prominent player in digital transformation, has announced a strategic collaboration with TGS, a leader in energy data intelligence. This partnership is set to catalyze the adoption of artificial intelligence (AI) in energy operations through innovative technology deployments.

The Challenge in the Energy Sector



With the growing volume of data being generated, traditional methods of managing seismic data have become inadequate. Energy enterprises are often challenged by the limitations of on-premises systems that struggle to handle vast datasets efficiently. These systems create bottlenecks, hindering timely exploration and consequent production decisions vital for business competitiveness. As a response, EPAM and TGS are working together to modernize these operations by migrating TGS Imaging AnyWare® to Amazon Web Services (AWS) Cloud. This transition is projected to optimize workflows and significantly reduce costs, benefiting energy companies navigating today’s fast-paced market.

Enhanced Capabilities Through AWS Cloud



Integrating TGS Imaging AnyWare on AWS Cloud allows for a more agile infrastructure that can flexibly scale according to project demands. This migration is not just a technical upgrade; it represents a paradigm shift that enables energy firms to perform seismic imaging workflows more efficiently at reduced costs. With this modern platform, energy operators can run computations at lightning speed while democratizing access to critical geological data.

According to Jason Harman, SVP, Head of Business ME APAC at EPAM, “True digital transformation in energy requires partnerships that comprehend both technical complexities and sector-specific operational realities.” The outcomes of this collaboration aim to lay the groundwork for future innovations aimed at maximizing the value derived from subsurface data on a larger scale.

Core Features Transforming Subsurface Operations



The partners plan to deliver three essential capabilities that will revolutionize subsurface operations:

1. Subsurface Data as a Service: TGS's Data Verse will grant centralized and secure access to seismic and well data through an OSDU-compliant streaming architecture, enabling quick visualization and delivery. This approach is poised to accelerate exploration and production decision-making processes significantly.

2. Cloud-Native Seismic Imaging at Scale: By modernizing TGS Imaging AnyWare on AWS, the collaboration will deliver improved performance on select seismic imaging workflows utilizing AWS Graviton-based instances. This transition not only enhances speed but also offers cost reductions compared to traditional on-demand pricing models.

3. Composable Workflows and AI Enablement: EPAM's Energy HPC Orchestrator (EHO) will enable modular, end-to-end subsurface workflows, furthering the evolution of capabilities led by TGS.

Joseph Santamaria, General Manager of Energy and Utilities at AWS, stated, “AWS is providing the elastic compute, AI services, and purpose-built infrastructure to help make TGS's bold vision for seismic imaging a reality.” This collaboration marks a significant milestone in modernizing subsurface operations and showcasing how cloud technologies can drive efficiencies.

Conclusion



The strategic partnership between EPAM and TGS, powered by AWS, fundamentally redefines how energy companies leverage technology to remain competitive. This initiative represents a leap toward a more integrated, AI-driven future in the energy sector, enabling operators to transform challenges into opportunities for growth. The collaboration not only showcases the advancements in technical capabilities but also establishes a new cost-performance model that will enhance agility and innovation in energy operations. As EPAM and TGS continue to propel cloud technology adoption, the implications for the energy sector are profound, ushering in a new era of data-driven decision-making and operational excellence.

For more information on how EPAM is aiding energy companies in overcoming integration barriers, accelerate innovation, and gain a competitive edge through AI, visit EPAM.

Topics Energy)

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