Contact us

      Client

      Large energy organisation

      Industry

      Oil and gas

      Primary goal

      Infrastructure modernisation

      Technologies

      HPC, AI/ML, GPU, cloud

      Energy exploration workflows generate massive data volumes requiring high-performance computing (HPC) systems for processing and interpretation. A large energy organisation aimed to modernise its HPC infrastructure to reduce cycle times and enable adoption of AI/ML-driven workflows.

      KPMG in India was engaged to provide strategic guidance and technical validation for revamping the HPC ecosystem. The focus was on improving compute efficiency, enabling scalable infrastructure and aligning digital transformation initiatives with exploration objectives.

      The engagement helped define a future-ready architecture capable of supporting growing workloads and emerging AI-driven use cases.

      The challenge

      Seismic data processing at scale is complex, resource-intensive, and time-consuming.The organisation’s exploration workflows were constrained by legacy HPC infrastructure, limiting processing speed and scalability.

      Dependence on external service providers for data acquisition increased turnaround time, while manual processes such as data cataloguing introduced inefficiencies.

      Limited GPU capability and absence of advanced processing technologies, such as Full Waveform Inversion (FWI), restricted adoption of AI/ML-based workflows.

      Additionally, data silos, high dependency on proprietary software and lack of real-time data transmission further slowed exploration cycles and reduced operational efficiency.

      Our approach

      KPMG in India identified opportunities for AI/ML adoption across the seismic data lifecycle – covering acquisition, processing and interpretation.

      A future-ready architecture was designed, incorporating hybrid CPU–GPU systems, tiered storage and scalable compute capabilities. This enabled support for advanced analytics and AI-driven processing.

      Key digital interventions included adoption of GPU-based processing, online seismic data transmission, knowledge management platforms and advanced imaging techniques such as FWI.

      A phased roadmap prioritised high-impact initiatives, supported by governance frameworks, cost modelling (OPEX vs CAPEX) and infrastructure planning.

      KPMG in India’s approach included:
      • Infrastructure transformation

        Designing a scalable hybrid CPU-GPU architecture for high-performance workloads

      • AI enablement

        Enabling adoption of AI/ML models in seismic processing and interpretation

      • Storage optimisation

        Implementing tiered storage for improved performance and cost efficiency

      • Operational efficiency

        Introducing monitoring tools to optimise compute utilisation and reduce bottlenecks

      • Future-ready design

        Recommending a roadmap for cloud integration, scalability, and long-term sustainability

      The impact

      The modernised HPCC framework is enabling faster, more efficient seismic workflows:

      av_timer

      Significant reduction in seismic data processing cycle time

      memory

      Improved accuracy in interpretation through AI-led workflows

      trending_up

      Enhanced scalability to handle growing exploration data

      trending_down

      Reduced dependency on manual processes and external providers

      flyover

      Better infrastructure utilisation and performance optimisation

      With a structured roadmap and optimised infrastructure, the organisation is better positioned to achieve faster exploration cycles, reduce costs and drive innovation across the value chain.

      How we make the difference

      KPMG helps organisations modernise core technology infrastructure to enable advanced analytics and AI adoption. By combining domain expertise, technical validation and strategic planning, we deliver scalable, future-ready solutions that accelerate business outcomes.

      KPMG. Make the Difference.

      Key Contact

      Shreyansh Upadhyay
      Shreyansh Upadhyay

      Associate Partner, Business Consulting & Chair, AI for Energy

      KPMG in India

      Connect with us

      Contact our specialists for more information

      Contact us
      connect with us