OSDU Data Platform
Open Standards & Subsurface Data Interoperability
Connecting specialized subsurface knowledge with open, interoperable data architectures. We combine geoscience domain expertise with modern data engineering approaches to help energy organizations structure, integrate and modernize complex subsurface information.
Open standards. Domain-aware integration.
Standards, models & APIs
The Open Group OSDU Forum develops an open industry data platform and standards ecosystem for energy. The OSDU Standard defines data models and API specifications, providing a common foundation for information exchange.
Platform implementations
The open-source OSDU Data Platform provides a reference implementation of the standard. Deployed implementations bring services together in specific environments, where cloud services, operating models and integration choices vary.
Proven expertise
Our focus is subsurface domain knowledge, data engineering and interoperability. The areas below describe technical focus, not completed customer projects, OSDU Forum governing membership, official partnership or implementation certification.
Subsurface Data Integration
Connecting seismic, well, geological and reservoir information across specialized applications and enterprise data environments.
- Scientific data ingestion and integration
- Metadata mapping and harmonization
- Legacy data modernization
Data Models & Interoperability
Applying industry-standard data models, schemas and APIs to support consistent information exchange across subsurface systems.
- OSDU-aligned data models
- Metadata and reference data
- API-based interoperability
Modern Data Architectures
Designing integration and coexistence approaches for OSDU environments, specialized subsurface applications and modern enterprise data platforms.
- OSDU platform integration patterns
- Lakehouse interoperability
- Cloud and hybrid architectures
AI-Ready Subsurface Data
Preparing governed, contextualized subsurface information for advanced analytics, machine learning and domain-specific AI applications.
- Data quality and contextualization
- Governed data access
- Analytics and AI integration
Connecting Subsurface Data with Modern Data Platforms
OSDU-aligned data architectures can coexist and integrate with lakehouse environments, including Databricks, through appropriate engineering and interoperability patterns. Metadata mapping, service interfaces, data movement and access policies must be designed for the selected environments. Databricks is not a mandatory OSDU component, and OSDU does not automatically provide native Databricks integration.
Explore Databricks