Map legacy well, seismic and reservoir file formats such as LAS, SEG-Y and WITSML into OSDU-compliant data records.
Oil, Gas & Energy
Subsurface Data Management and the OSDU Data Platform
Design a subsurface data management programme that migrates well, seismic and reservoir data into the OSDU data platform with clean metadata, quality rules and entitlements.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
Subsurface teams generate well logs, seismic surveys, core data and reservoir models across dozens of vendor applications and file formats, and much of it duplicates, contradicts or simply cannot be found when a new well is planned. This course examines how the OSDU data platform, an open, cloud-agnostic standard built around common schemas and APIs, addresses that fragmentation, and how a data management programme is actually built around it. Participants work with well, seismic and reservoir data domains, mapping legacy formats such as LAS, WITSML, SEG-Y and RESQML into OSDU-compliant records, and apply data models drawn from the PPDM standard to structure well header, wellbore and directional survey data consistently. Sessions cover metadata cataloguing, entitlement and legal tag design for data access control, data quality rule definition, and the migration planning needed to move a legacy data estate onto a platform-based architecture without losing lineage or context. Teaching uses sample well and seismic datasets, schema-mapping exercises and a migration-planning workshop. Participants leave able to scope a subsurface data management programme, define its data model and quality rules, and plan a phased migration onto the OSDU platform.
Expected Learning Outcomes
Apply PPDM data model conventions to structure well header, wellbore and directional survey data consistently.
Design a metadata catalogue that makes subsurface data discoverable across geoscience and engineering teams.
Define entitlement groups and legal tags that control who can access licensed seismic and well data.
Build data quality rules that detect missing, duplicate or inconsistent subsurface records before they reach interpretation software.
Plan a phased migration of a legacy subsurface data estate onto a platform-based architecture.
Establish data governance roles that keep well and seismic master data accurate across its life cycle.
Who Should Attend
Subsurface data managers and data stewards responsible for well, seismic and reservoir datasets.
Geoscientists and petroleum engineers who depend on accurate, discoverable subsurface data for interpretation.
IT and data architecture teams planning a migration onto the OSDU data platform.
Data governance and master data management specialists working in exploration and production.
Vendors and system integrators configuring subsurface applications to exchange data through OSDU schemas.
Exploration and production managers sponsoring a subsurface data quality or migration programme.
Course Modules
Select any module to see its sessions and points.
01The Subsurface Data Landscape and the OSDU Standard
2 sessions · 8 points
Session 1Why Subsurface Data Fragments across Systems
- Trace how well, seismic, core and reservoir data accumulate in separate vendor applications over a field's life.
- Identify the cost of duplicated and inconsistent subsurface data in delayed well planning and repeated interpretation.
- Explain the purpose and scope of the OSDU data platform as an open, cloud-agnostic industry standard.
- Distinguish the well, seismic, reservoir and wellbore domains defined within the OSDU schema catalogue.
Session 2Data Standards Feeding the Platform
- Compare LAS, WITSML, SEG-Y and RESQML as the source formats most subsurface migrations must accommodate.
- Apply PPDM entity and relationship conventions to model well, licence and business associate data.
- Reference ISO 19115 metadata elements when documenting spatial and dataset-level subsurface metadata.
- Assess an existing data estate against OSDU schema requirements to scope a migration effort.
02Data Modelling, Metadata and Quality
2 sessions · 8 points
Session 1Building the Metadata Catalogue
- Design metadata records that describe dataset lineage, source system and licensing status for each subsurface object.
- Structure well header and wellbore metadata so directional surveys and logs link back to the correct wellbore.
- Apply consistent naming and unit-of-measure conventions across merged well and seismic datasets.
- Build a catalogue search experience that lets geoscientists locate relevant data without contacting a data steward.
Session 2Defining and Enforcing Data Quality Rules
- Write data quality rules that flag missing curves, duplicate wellbores or inconsistent coordinate reference systems.
- Set validation checks at data ingestion so poor-quality records are corrected before they enter the platform.
- Prioritise quality remediation using the wells and datasets most heavily used in active projects.
- Report data quality metrics to subsurface management in terms relevant to interpretation and well planning risk.
03Entitlements, Security and Migration Planning
2 sessions · 8 points
Session 1Access Control and Entitlements
- Design entitlement groups that separate access to licensed seismic data from internally generated interpretation.
- Apply legal tags that encode data ownership, confidentiality and retention obligations on each dataset.
- Coordinate with legal and commercial teams on licence terms before granting cross-partner data access.
- Audit entitlement assignments periodically to confirm access still matches current roles and licences.
Session 2Planning the Migration
- Sequence a migration plan that moves high-value, actively used datasets onto the platform before legacy archives.
- Map source system fields to OSDU schema attributes and document transformation rules for each data type.
- Define rollback and validation checkpoints that confirm migrated data matches source records before cutover.
- Estimate the effort and resourcing a subsurface migration requires from data, IT and geoscience teams jointly.
04Operating and Governing the Platform
2 sessions · 8 points
Session 1Sustaining Data Quality after Go-Live
- Assign data steward responsibilities that keep well and seismic metadata current as new data arrives.
- Integrate data quality checks into routine well delivery and seismic processing workflows.
- Monitor platform usage to identify datasets that remain undiscovered or unused by project teams.
- Review and update data quality rules as new data types and acquisition technologies are introduced.
Session 2Extending the Platform across the Organisation
- Connect interpretation, drilling and reservoir engineering applications to the platform through its published APIs.
- Build a business case for extending platform coverage from one asset to the wider subsurface portfolio.
- Coordinate with partner companies and data ecosystem vendors on shared data exchange expectations.
- Define governance metrics that demonstrate the platform's return in reduced data search and duplication effort.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
Complete your registration
We will contact you within one business day to confirm.
Ready to start?
Reserve your seat and start building the skill.