SOLUTIONS for THE ENERGY INDUSTRY

From data silos to insight-driven exploration.

Scattered, siloed data. Seismic, sensor, and log data lives in disconnected systems.
Hard to find what you need. Teams waste time searching, duplicating, and re-sharing data.
Limited visibility and control. It’s unclear what’s active, who owns it, and what it costs.
High operational costs. Old copies and cold data pile up, combined with inefficient tiering increase storage spend and delay exploration.
Unified visibility. Index and connect data across edge, on-prem, and cloud.
Context-rich metadata. Add project, well, and asset context for faster discovery and traceability.
Automated curation and tiering. Keep hot data fast and move cold data to lower-cost storage.
Policy-based governance. Automate retention and cleanup with audit-friendly controls.
Lower storage costs. Reduce redundancy and manage cold data automatically.
Faster analysis. Find and use the right data more quickly across exploration and production.
Stronger governance. Improve consistency, compliance, and reporting across regions/teams.
AI-ready operations. Curated, high-value datasets fuel analytics and AI-driven modeling.

Across tools like Petrel, Eclipse, Kingdom, and GOCAD, Diskover connects every stage of the energy data lifecycle—from ingestion to archive and reuse. Teams can quickly find and analyze what they need, then automate movement and curation from edge to cloud—improving performance, compliance, and readiness for predictive analytics and AI-driven exploration.

Data Ingestion

Data Preparation

Exploration & Simulation

Field Engineering & Extraction

Production Analytics

Archive & Retention

AI-Driven Optimization

Lack of unified visibility due to energy data moving between several teams, geolocations, storage platforms and filesystems.
Exposed and unprotected high-cost data like seismic datasets.
Uncontrolled capacity consumption drives up costs, especially making HPC clusters expensive to operate.
Used specialized queries to identify and classify irrelevant transient data to valuable energy datasets.
Protect sensitive data while keeping and optimizing productivity.
Monitor and mitigate capacity over-consumption avoiding disruptions and maximizing storage utilization.
Tiering and ongoing data hygiene using curated datasets.
Visibility without access via access control and audit trail.
Operationalized complex data flows by understanding energy pipelines.
Reclaimed petabytes by identifying and cutting computing waste.
Protected sensitive data with role-based access control and comprehensive audit trails.
Maximized value of data estate investments by organizing, protecting, preserving, and automating high-value datasets.

Ready-to-go solutions to cut costs, stay compliant, and move faster.

Major energy organizations rely on Diskover solutions to keep their unstructured data findable, governed, and ready for action at scale. Diskover delivers unified visibility and lifecycle automation—so teams enforce retention and deletion requirements, reduce redundant iterations, and keep exploration and operations moving.

Our client had divested a permit and needed to find all related data to handover and then remove from disk. They provided a list of prospects, seismic surveys and aliases which Diskover could use in a single search to very quickly scan the entire RiVA filesystem for matching references and provide file/folder listings and sizes.

This task was completed in less than an hour. It would have taken weeks and needed extensive historical knowledge without Diskover.

Geoscience workflowsgenerate massive file iterations and seismic data derivatives that quickly accumulate.

We automate tagging, inventory, and cleanup to eliminate redundant data, maintain audit trails, and reduce operational overhead.

Energy companies must often remove data associated with expired leases or dissolved partnerships to comply with strict legal mandates.

We automate data identification, verification, and deletion—providing full audit trails while minimizing the operational burden of compliance.

Messy, duplicated datasets lead to slower training and unreliable AI results.

Diskover restores the flow by turning messy datasets into high-value, context-rich inputs for AI. It filters out redundant and irrelevant data so models learn from what matters most—improving accuracy, explainability, and compliance. With enriched metadata, RAG can retrieve the right information in real time, cutting through noise and grounding responses in trusted sources. The result is faster pipelines, less data bloat, and lower storage and compute costs.

Divestitures and acquisitions often require teams to locate, validate, and transfer massive datasets under tight deadlines.

We automate inventory, tagging, and data packaging so you can deliver the right data quickly—with clear audit trails and less operational overhead.

Legacy archives can hide high-value data behind slow access, outdated structure, and inconsistent metadata.

We create a searchable inventory and add context so teams can recover, reuse, and tier data intelligently—cutting cost while improving access.

Ready to bring order to your unstructured world?

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