Hammerspace for Energy and Oil & Gas
Massive Seismic and Simulation Data is Trapped in Siloed, Legacy Infrastructure
Energy and utilities organizations generate enormous volumes of unstructured data — from seismic surveys and drilling sensors to grid telemetry, IoT devices, and remote imaging systems.
But these datasets are often trapped in silos across exploration sites, regional data centers, and cloud repositories, making it difficult to share, analyze, and act on critical information.
Traditional storage systems can’t keep up with the performance, scalability, and automation required for modern energy workflows, especially as AI and high-performance computing (HPC) become central to exploration, modeling, and predictive maintenance.
Unify, Automate, and Accelerate Seismic and Simulation Data Across HPC and Cloud Environments
By separating metadata from data, Hammerspace enables intelligent orchestration of massive seismic and simulation datasets, providing geoscientists and engineers with the ability to process and analyze data wherever compute resources are available — without manual data movement.
Unified Data Plane
Automated Data Services
Accelerated Data Orchestration
Silo-less Data Storage
Key Benefits
Accelerate Seismic Processing and Modeling
Deliver HPC-class throughput and low latency for subsurface imaging and reservoir simulation workloads.
Enable Data Access Anywhere
Unify data from remote exploration sites, refineries, and distributed infrastructure within one global namespace.
Simplify Hybrid and Multi-Cloud Operation
Seamlessly move and orchestrate data between on-prem, cloud, and edge environments.
Improve Operational Efficiency
Automate data placement, eliminate redundant copies, and reduce time-to-insight across teams and locations.
