Session Manager: Suzanne Beglinger, Equinor
12:30 Back to Basics: Building Trust Through Practical Data Governance in the Energy Sector
- Rhys Blake, Senior Business Development Manager, Katalyst Data Management
From Compliance to Self-Actualisation—A Hierarchy of Needs for the Data-Driven Energy Industry.
13:30 From Rules to Results: Building a Collaborative Data Governance Culture Across Data Offices
- Rodrigo Zeballos Espinoza, Engineer Data Management, Equinor
A Unified Governance Framework for Compliance, Clarity, and Collaboration between Data Offices.
14:30 High Quality Trusted Data: An Entitlements And Obligations Journey To Excellence
- Jerome Huss, Sr Technical Data Entitlements and Obligations Consultant, Shell
High quality and trusted data is required to enable faster and better decisions with reduced risks. Often overlooked are the Entitlements and Obligations (E&O) that govern the rights to use the data and stipulate legal commitments. Understanding these is a crucial part of any project relying on petroleum subsurface and well data. This presentation aims to showcase what is Shell currently doing to achieve E&O excellence and what the future of E&O management may look like.
15:30 An integration approach based on the orchestration of microservices for transferring seismic datasets from a Data Platform to Interpretation Projects
- Floriano Goffo, Geoscience Data Engineer, Eni S.p.A.
An integration approach based on the orchestration of microservices for transferring seismic.
16:30 Transforming subsurface data management:
Lessons learned from a systematic approach
- Paul Gabriel, Manager Geoscience Data Products
Real-world lessons on a structured framework that transforms subsurface data sprawl into streamlined workflows, unlocking measurable savings, AI-ready quality, and merger-ready integration.
08:30 Empowering Agentic AI:
Skills, Structures, and Standards for Impactful AI Governance
- Inna Tokarev Sela, CEO & Founder, illumex.ai
Data governance is essential for enterprise AI, yet scaling it remains a challenge. AI reduces manual effort through automation and enhances collaboration and consistency. It also lowers TCO and improves risk management by reusing governance assets. In this session we will cover how scalable, AI-augmented frameworks can boost innovation while preserving human oversight.
09:30 Guidelines for Oil and Gas Companies Digital Transformation Data Governance Policy Implementation
- Ogbonna Jackson Ajah, Data and Infrastructure Engineer
Derived from the Nigeria Energy Industry Digital Transformation Story.
10:30 Subsurface Production Data (SPD) - Centralized tag mapping library
- Bjørn Rugland, Product Owner, Equinor ASA
Centralized and standardized tag mapping library for relevant objects in production- and injection networks.
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