Oil & Gas Unstructured Data Management

Control exploding seismic data costs. Increase visibility to speed audits and inspections. Curate subsurface data for AI.

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Why Komprise for Energy Companies?

$1M

SAVED/YEAR

80%

Better AI Accuracy

ZERO

PII, IP Surprises

The Komprise Difference for Oil & Gas

Energy companies face relentless growth in unstructured data, from seismic surveys and sensor feeds to inspection files scattered across remote sites and legacy systems. IT teams must aggregate and classify this data for reservoir simulation, analytics, and AI workflows like predictive maintenance, all under strict safety regulations. Komprise delivers full visibility into unstructured data to reduce primary storage costs, turn seismic and sensor archives into AI-ready data and speed regulatory audits.

Visibility
Sensitive Data
Tiering Cost Savings
Tiering Policies
Cybersecurity
Energy Services Metadata
Customizable Policies
Cost of Storage Refresh
Compliance Reporting
Energy AI Workflows
AI Ingestion
Focus

Storage-Vendor Data Management

Siloed, storage specific
Limited to no support
Limited, only on storage
Limited, Cluster-Based
Expensive copies
None
Limited
Lock-in. Costly Rehydration when Switching Vendors
None
None
Manual
Storage

Komprise Intelligent Data Management

Global Analytics Across all Storage and Clouds
Built-in sensitive data detection and handling
Save 70% on storage, backup, DR costs
Flexible per Use Case or Region
Cut 80% of Ransomware and Cyber Security Costs
Extract Project, Regulatory Metadata for Contextual Search from PDFs, Multimedia, OSDU, LAS, SEGY, DGN etc
Flexible; Showback by team or department
No Rehydration Penalty or Data Lock-In
Built-in Chain-of-Custody Reports, Auditing
Automate workflows to LLMs, Cloud AI, Lakehouses
Intelligent Caching Keeps Data Secure in Place. Boosts AI ROI by +80%
Data Management in Regulated Industries

Trusted by Energy Firms

Data Center Modernization

Global oil and gas services provider uses Komprise to transition workloads and data storage to multiple cloud service providers, shrink data center space, and reduce CAPEX after a merger.

80% Savings+ Data Services at Lummus

With granular insight into its data assets, Lummus Technology now has the knowledge to make smart business decisions such as consolidating shares or where to move cold data. Deep Analytics helps IT understand business usage. Tiered data is always accessible from its original location.

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Analysis + Intelligent Tiering

See all data across storage to understand utilization, shrink data center footprint.
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  • Analyze petabyte-scale files and objects across multi-vendor storage + cloud to model plans and costs.
  • Identify cold data for automatic tiering by age, file type, or project.
  • Transparently tier files to reclaim 70%+ flash capacity with zero user disruption and no rehydration costs.
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Manage Data for Compliance

Quickly locate regulatory documents, safety reports, and compliance certifications from unstructured archives

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  • Flexible search in Deep Analytics finds files faster to speed audits and inspections.
  • Scan for PII, IP and other sensitive data and tag for handling.
  • Enforce policies such as data sovereignty and retention requirements with automated data workflows.
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Unstructured Data Curation and Workflows for AI

Custom metadata enrichment delivers data classification and curated workflows for energy-focused AI.

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  • Understand, filter and enrich metadata across storage with a Global Metadatabase.
  • Lower costs of AI with precise curation of seismic, environmental, inspection data and auto-deletion of cloud copies
  • Custom metadata extraction for SEG-Y, well log files, CAD + more with KAPPA data services.
  • Automate AI data governance with built-in sensitive data mitigation, lineage tracking, audits.

Dig Deeper

Library

KAPPA Data Service Library

See OSDU / LAS File Metadata Extraction prebuilt metadata extraction use case for the oil and gas industry.

Overview

The Komprise Global Metadatabase

Rapidly extract rich structure for all your file and object unstructured data.

Solution Brief

Storage Cost Savings with Intelligent Tiering

Komprise Transparent Move Technology (TMT) delivers analytics across silos and policy-based data management with no lock-in.

Frequently Asked Questions

How does Komprise reduce storage costs for oil and gas companies managing massive seismic and sensor data volumes?

Oil and gas companies face exploding volumes of seismic surveys, sensor feeds, and inspection data from remote sites and legacy systems, much of it inactive long after an exploration or drilling project closes. Komprise Intelligent Data Management automatically identifies data that has not been accessed or modified beyond a defined threshold, such as seismic archives from completed projects or sensor feeds past their active monitoring window, and tiers it to lower-cost cloud or object storage with no disruption to engineers or applications. Komprise Transparent Move Technology keeps tiered files accessible from their original locations, so users and applications see no change and there is no rehydration penalty when the data is needed again. Lummus Technology, an energy technology company, saved 80% on storage and data lifecycle management costs using this approach.

Regulatory audits, safety inspections, and environmental compliance reviews require operators to locate specific records, from well files to inspection reports, across storage scattered over remote sites, business units, and legacy systems, often under tight deadlines. Deep Analytics indexes all file and object data across the entire storage estate, capturing metadata including file type, project, region, last access date, and custom tags. This index is stored in the Global Metadatabase, letting IT and compliance teams search across petabytes of unstructured data by any combination of criteria in seconds. Komprise Smart Data Workflows can also automate the identification and collection of data matching specific project, well, or regulatory identifiers, reducing the time and cost of responding to audits and inspections compared to manual searches across siloed storage systems.

Oil and gas operators are high-value ransomware targets because operational continuity depends on rapid access to seismic, engineering, and safety data, and downtime carries steep financial and safety risk. Komprise reduces ransomware exposure by tiering data off primary storage to immutable cloud object storage, where it cannot be encrypted or deleted by ransomware actors who gain access to the network. Data tiered via Komprise Transparent Move Technology is stored in vendor-neutral native format in cloud environments that can be configured with object lock and immutability policies, creating a clean, recoverable copy isolated from on-premises attack surfaces. In the event of a ransomware incident, tiered data remains intact in the cloud and can be restored without paying ransom or rebuilding from tape.

AI workflows for predictive maintenance, reservoir simulation, and seismic interpretation require rapid access to well-organized, curated datasets. The challenge for most oil and gas companies is that this data, seismic surveys, sensor feeds, well logs, and inspection files, is scattered across multiple storage systems and legacy formats with inconsistent naming and no unified metadata layer. Deep Analytics builds a Global Metadatabase across all storage environments, making it possible to discover and curate the precise datasets needed for AI ingestion by project, region, well, or custom tags. KAPPA data services extract custom metadata directly from specialized formats such as SEG-Y seismic files, LAS well logs, and CAD drawings, adding the context AI models need without manual tagging. Komprise Smart Data Workflows then automate the movement of curated data to AI platforms, lakehouses, or LLMs in native format, without manual preparation or custom ETL pipelines.

Oil and gas companies operating across multiple countries must balance long-term retention obligations for seismic and engineering records with data sovereignty rules, safety regulations, and in-country residency requirements that vary by jurisdiction. Komprise addresses this through policy-based Smart Data Workflows that classify data by project, region, retention schedule, and sensitivity, then automatically apply the appropriate lifecycle action, whether that is tiering to compliant regional storage, restricting cross-border access, or flagging for deletion review. All data movement and classification activity is tracked in the Global Metadatabase, providing a complete audit trail for regulatory reviews. Because Komprise stores tiered data in native format on open standards-based object storage, it remains accessible and auditable for the full retention period without dependency on proprietary archive software or vendor relationships.

Ready to Bring Structure to Your Unstructured Data?

Schedule a call with our unstructured data management experts and see your file and object data in a whole new way.

Industry Leaders Trust Komprise
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