From chaos to clarity: Turning subsurface data into actionable insight
The energy industry demands vast volumes of data, yet much of it remains unstructured, fragmented across systems and hidden within complex formats. Disconnected legacy data, plus the influx of newly acquired datasets, makes it even more challenging for teams to find, trust, and use all available data efficiently, slowing analysis and time to decisions.
At Viridien, we know easy access to subsurface data is the first step to unlocking faster, smarter insights. We combine our geoscience expertise with advanced AI, building automation workflows to reduce time spent preparing data and to enable better decisions with information that seamlessly integrates with cloud and OSDU platforms.
EVERGREEN DATA SOLUTON
Subsurface data transformation—evolved.
Reliable. Automated. Continuous.
New acquisitions, reinterpretations and studies arrive every day — across files, platforms, and systems of record. The Evergreen Data Solution brings order to this growing complexity by continuously ingesting, transforming, enriching and governing subsurface data. Built on deep subsurface expertise and AI-driven automation, it keeps data reliable, consistent, and ready for use over time without repeated clean-up projects or added operational burden. The result: a trusted data foundation that scales with your organization and supports confident, insight-driven decisions.
Evergreen Data Solution: Delivering Impact at Every Level
Data and digital leaders
Control, governance and scalability for long-term growth
- Establish governance and data quality at scale
- Unify fragmented and siloed repositories
- Automatically ingest new and updated data
- Maintain full lineage, audit trails, and OSDU alignment
- Optimize storage and infrastructure costs (↓ >35%)
- Build a reliable foundation for analytics, AI, and future digital tools
Subsurface teams
Fast, trusted access to the data behind every decision
- Access validated, ready-to-use data faster
- Cut data access time by more than 40%
- Find and explore domain content across millions of files
- Use more data for analytics and predictive models
- Interpret and analyze within existing applications
- Make confident, data-backed business decisions
See Evergreen Data Solution in action
Attending EAGE Digitalization 2026? Join us in Stavanger March 9-12 to witness how continuous ingestion, AI-driven transformation and built-in governance create a reliable, scalable data foundation.
Not attending EAGE? No worries, let’s connect! Reach out to our experts to see how automated, expert-driven data transformation can accelerate decisions and unlock the full value of your data.
How do we do it?
Our data transformation solutions are designed and delivered by subsurface domain experts, data scientists, and engineers who understand the complexity of geoscience data and workflows. This deep expertise ensures accurate classification, contextualization, and validation of data, so teams can trust what they use for analysis and decision-making.
We support seamless ingestion, validation, and integration of data into OSDU environments and other modern data platforms. Our approach aligns with industry data standards and schemas, ensuring interoperability, future scalability, and reduced integration effort across applications and systems.
Discover how we transform and integrate raw files, metadata-rich documents, and curated datasets into the OSDU platform, delivering trusted data directly to users and enabling informed decision-making in our webinar, “Deep Dive: OSDU Ingestion Capabilities by Viridien.”
From legacy archives to real-time data streams, our solutions handle diverse data types and volumes across global assets. Automated classification, extraction, and enrichment processes allow organizations to scale transformation efficiently while maintaining data quality and governance. We have delivered large-scale data transformation projects for global operators, supporting multi-year digitalization programs and unlocking value from millions of files across hundreds of data types.