SOLUTIONS for THE ENERGY INDUSTRY

Fueling the next generation of energy intelligence.

Exploration, drilling, and production workflows generate massive volumes of unstructured data — from seismic surveys and drill logs to simulations and sensor readings. Yet much of it remains locked away in legacy storage, disconnected from modern analytics and AI initiatives.

We help energy organizations bring that data to life. By indexing, organizing, and automating access across edge, on-prem, and cloud environments, we make it simple to manage and mobilize decades of operational data. With faster visibility and smarter control, teams can reduce costs, accelerate exploration, and power predictive models that drive innovation across the entire energy data lifecycle.

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POWERING THE FUTURE OF ENERGY DATA

From data silos to insight-driven exploration.

We help energy organizations transform massive, scattered datasets into clear, actionable insight. From exploration to production and analytics, we bring visibility, automation, and intelligence to every stage of the data lifecycle. Whether it’s optimizing seismic workflows, managing decades of field data, or preparing archives for AI-driven modeling, we make it simple to access, organize, and use your data — securely, efficiently, and at scale.

From workflow pain to performance gain.

Workflow pain.

Scattered, siloed data. Seismic surveys, sensor readings, and drill logs are often spread across disconnected systems, making it difficult to locate and use valuable insights.
Legacy storage overload. Decades of archived data remain locked in aging systems, increasing cost and complexity while slowing access to current projects.
Limited visibility and control. Distributed environments obscure data lineage and lifecycle, complicating compliance, retention, and reuse.
High operational costs. Manual data management, inefficient tiering, and duplicated files inflate costs and hinder agility.

Performance gain.

Unified visibility across exploration, production, and analytics environments — enabling teams to quickly locate and use critical data, wherever it lives.
Intelligent tiering and automation to move aging project files or redundant data to lower-cost storage based on business or regulatory policies.
Accelerated decision-making through indexed, metadata-rich datasets that make seismic, geological, and sensor data instantly searchable.
Predictive and AI-ready insight by curating and feeding relevant datasets into machine learning models for resource prediction and efficiency.
Governance and cost control with detailed lineage tracking, storage simulations, and policy-driven automation to manage retention, egress, and compliance at scale.

Data lifecycle optimization for the energy industry.

Data Ingestion

Data Preparation

Exploration & Simulation

Field Engineering & Extraction

Production Analytics

Archive & Retention

AI-Driven Optimization

No matter the data type, format, or platform — from seismic processing tools to reservoir modeling software like Petrel, Eclipse, Kingdom, GOCAD — we connect every stage of your data lifecycle. From ingestion to archive, we help energy organizations locate, analyze, and automate data movement and curation — ensuring performance, compliance, and readiness for predictive analytics and AI-driven exploration.

Unify.
We bring together fragmented datasets from exploration, drilling, and production — delivering unified visibility across geoscience, engineering, and operational teams. With secure, read-only access and powerful indexing, you can find and share the right data faster, without disrupting workflows.
Curate.
Our smart filtering, tagging, and metadata enrichment turn raw geological and sensor data into searchable, high-value assets. This accelerates project analysis, enables rapid data retrieval for AI and modeling, and ensures that every dataset carries meaningful business and scientific context.
Orchestrate.
Policy-driven automation moves, tiers, and preserves energy data — from active wells to long-term archives. Keep critical datasets hot and accessible while shifting historical data to cost-efficient tiers, maintaining performance and compliance globally.
USE CASE
Leading energy provider streamlines data management and reduces HPC costs with Diskover.

CHALLENGE

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.
Uncontolled capacity consumption drives up costs, especially making HPC clusters expensive to operate.

MANAGE

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 maximize storage utilization.

AUTOMATE

Tiering and on-going data hygiene using curated datasets.
Visibility without access via access control and audit trail.
Operationalized complex data flows by understanding energy pipelines.

BENEFITS

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 FOR TODAY’S ENERGY CHALLENGES

Turning challenges into automated workflows.

Energy data management comes with unique demands — from legally mandated data deletion to controlling redundant seismic iterations. We help organizations automate compliance, enforce retention policies, and streamline data cleanup across complex exploration and production environments.

Removal of file iterations or derivatives.


Geoscience workflows generate 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.

Legally mandated removal of data.


Energy companies must often remove data tied to expired leases or dissolved partnerships to meet strict legal mandates.

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

When too much data clogs your AI pipelines.


We restore the flow with high-value datasets.

Train smarter, not harder: Diskover filters out redundant and irrelevant data so AI learns from the most valuable datasets—improving accuracy, explainability, and compliance.
Deliver faster, more reliable insights: With rich context and metadata, RAG retrieves the right data in real time, cutting through noise and grounding AI responses in truth.
Save time, storage, and compute costs: Efficient indexing and relevance-driven data curation reduce data bloat, processing time, and overall AI infrastructure costs.

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Community Edition on GitHub

A free edition with no time limit available on GitHub.

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