Session Manager: Pierrick Gaudin, TotalEnergies and Therese Rannem, Vår Energi
12:30 Equinor’s seismic journey to OSDU® Data Platform, part II
- Jonas Hedström, Manager Subsurface, Equinor
A continuation from ECIM presentation "Equinor’s seismic journey to OSDU® Data Platform" from 2024. Equinor continues its commitment to the OSDU® Data Platform to make all Equinor entitled seismic metadata searchable within this platform. With over 60 petabytes of seismic data primarily stored in the legacy SEG-Y format across different solutions, our vision stay firm on enhancing findability and consumption of seismic data.
13:30 Operationalizing OSDU in Microsoft Fabric: Enabling AI, Enrichment, and Insight
- Faroukh Fekravar, Principal, Energy Consulting, EPAM Systems
A schema-driven framework for transforming, normalizing, and synchronizing OSDU data into Microsoft Fabric. Supports analytics, enrichment, and AI while preserving lineage, access control, and source-of-truth integrity.
14:30 Transforming Oil and Gas Operations Through Standardized Digital Platform, OSDU
- Hilal Mentes, Sr. Geoscience Data Manager, TotalEnergies E&P Americas
This session will provide practical insights into the challenges encountered and lessons learned during real case OSDU Operational Deployment in TotalEnergies Explo HUB.
15:30 Open Data, Closed Door? A Small Vendor’s Test of the OSDU™ Promise
- Eivind Rønnevik, CTO, Kadme AS
The “acid test” to the OSDU™ Data Platform: Is it realistically possible for a small, independent software vendor to install and add value through a community instance of OSDU™ with limited resources?
16:30 Challenges and Solutions for the Preservation of Reservoir Geological Models: An OSDU Implementation Perspective with Data Science Applications
- Denise Diniz Souto Lima, Petroleum engineer, Petrobras
Strategies to Mitigate Digital Obsolescence and Promote Interoperability of Geological Models in the Context of OSDU Architecture.
08:30 Establishing Trust in OSDU Data: Referential Integrity, Schema Validation, and AI-Driven Quality Rules in a Lakehouse Architecture
- Mohammed Omar Abdelaziz Ali, Principal Data Engineer Architect, Equinor
A practical data quality framework co-developed by Equinor and Microsoft to build trust in OSDU data. It combines schema validation, referential integrity checks, and AI-powered rule generation and evaluation from plain language. Built on a lakehouse architecture in Microsoft Fabric, it empowers domain experts to ensure data quality at scale — without writing code.
09:30 Combining the OSDU worlds of the End user and Data manager
- Max de Groot, OSDU Delivery Lead, Aker BP and Subhankar Choudhury
10:30 EMtrust Community Development
- Keith Armstrong, Principal Consultant Energy, EPAM systems
EMTrust Community Model, an open-source framework designed to support technical assurance, and data governance within the OSDU™ Data Platform.
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