SOLUTIONS for THE ENERGY INDUSTRY

Fueling the next generation of energy intelligence.

Diskover’s energy data management solutions empower exploration, drilling, and production teams to harness massive volumes of unstructured data—from seismic surveys and drill logs to simulations and sensor readings. Yet much of this valuable information remains trapped 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, Diskover makes 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.

Meet your new best friend—the Diskover AI Data Assistant

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.

The challenge.
Scattered, siloed data. Seismic surveys, sensor readings, and drill logs are spread across disconnected systems, making it difficult to locate, interpret, and share critical insights.
Legacy storage overload. Decades of archived data remain locked in aging systems, driving up costs while slowing access to current projects.
Limited visibility and control. Distributed environments obscure lineage, metadata, and lifecycle status—complicating governance and regulatory compliance.
High operational costs. Manual data management, redundant files, and inefficient tiering increase storage spend and delay exploration.
The solution
Unified visibility. Diskover indexes and connects data across exploration, production, and analytics environments, enabling quick access to valuable information across edge, on-prem, and cloud.
Context-rich metadata. Link files to projects, wells, and assets to improve traceability, accelerate discovery, and streamline audits.
Built-in data intelligence that analyzes patterns, predicts bottlenecks, and powers smarter storage and workflow decisions.
Automated curation and tiering. Identify, move, and manage seismic, geological, and operational data based on value, relevance, and policy—reducing waste and human error.
Built-in compliance intelligence. Enforce retention and deletion policies automatically, maintaining audit trails across every data lifecycle stage.
Predictive insight pipelines. Feed enriched datasets into AI models for resource forecasting, performance analysis, and operational optimization.
The impact.
Reduced storage costs. Automated tiering and cleanup eliminate redundant or obsolete data while maximizing performance.d reduce data-related delays.
Faster analysis. Unified metadata and search accelerate data retrieval and insight generation across exploration and production.
Improved governance. Policy-driven automation ensures consistency and compliance across teams and regions.
AI-ready operations. Curated, metadata-enriched datasets fuel predictive analytics for smarter, faster energy decisions.
Sustainable performance. Efficient data mobility and lifecycle management extend infrastructure value while cutting waste.

Data lifecycle optimization for the energy industry.

Diskover’s energy solutions manage data through every stage—from acquisition to analysis, archive, and reuse—so your teams focus on exploration, not infrastructure.

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 intelligently 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, compliance, and global scalability.

USING DISKOVER TO STREAMLINE ENERGY DATA PIPELINE

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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