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 OSDU and Digital Innovation

- Hilal Mentes, Sr. Geoscience Data Manager, TotalEnergies E&P Americas

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  The Anatomy of an Agent

- James Patton, Global Data Platform's Manager, AWS

This session explores how to design a domain-aware agent that enables natural language interactions and autonomous data discovery, calculation, and delivery.

09:30  Combining the OSDU worlds of the End user and Data manager

- Max de Groot, OSDU Delivery Lead, Aker BP and Subhankar Choudhury

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.

12:30  Predicting Key Geothermal Reservoir Properties Using AI/ML

- Wojciech Panek, Engineer - Process Data Subsurface&Wells, Shell

A Case Study from Northern Croatia, showcasing the role of data in energy transition of E&P business.

13:30  Use of acoustic sand detectors and music processing techniques for mitigating chalk influxes 

- Ada Ortiz-Carbonell, Data Scientist, AkerBP, (Expert Analytics AS)

An unusual approach for an unusual challenge. Chalk reservoirs are rare, and as such pose problems that few have confronted before. processing and processing techniques, acoustic tech, and pushing acoustic sensors beyond their capabilities can help mitigate the problematic well plugging caused by chalk influxes. While chalk can block production, we are fighting back with sound.

14:30  High-Resolution Elastic Property Prediction and Fluid Detection with Deep Learning

- Åsmund Heir, CEO, RagnaRock

Can AI support fluid detection in field development? This presentation explores how machine learning complements traditional methods by predicting high-resolution elastic properties from seismic and well data, using rock physics to detect fluids with high accuracy in a real-world case study.

15:30  Real-time gas-oil ratio estimation in Pre-Salt offshore wells using data-driven regression models

- Leila Araujo Ribeiro Farias, Reservoir engineer, Petrobras

Enhancing GOR monitoring and optimizing production strategies through machine learning techniques utilizing pressure and temperature sensors in complex offshore environments.

16:30  Transforming Legacy Reports into Strategic Assets - Gen AI-Powered Digitalization of Legacy Geological and Well Test Reports into Geological Database for Enhanced Exploration and Production 

- Chafaa Badis, AI & Data Science Advisor, Halliburton

The upstream oil and gas industry faces challenges in extracting data from unstructured formats like PDFs, slowing decision-making in mature fields. To address this, INA and Halliburton Landmark developed an AI-driven workflow using OCR, NLP, and Generative AI to digitize and structure geological data. This reduced data processing time by 95%, improving efficiency, accuracy, and reservoir management. The solution empowers faster, data-driven decisions and supports sustainable production strategies.

10:30  Not Brains vs. Algorithms—Both: Rethinking Seismic Interpretation

- Adnan Latif, VP of AI & Global Services, Bluware

This session will focus on explaining where we are in terms of technological readiness for fully transitioning from human cognition to automation in seismic interpretation. It will also share a few ideas on how, instead of replacing one (Geoscientist) with another (AI), we could combine human intelligence with artificial intelligence to leverage the best of both worlds in seismic interpretation.

12:30  Ensuring Cross-Domain Interoperability: Addressing Measured Depth Quality and Processing Challenges in Subsurface Data

- Bjarne Rosvoll Bøklepp, Manager Data Analytics and Management, Equinor

Subsurface data from wellbores is acquired involving various services, domains and operations, each with its own depth measurement reference system. These references are often systematically assumed to align across domains — a problematic assumption that can result in misaligned data, flawed analysis, and poor decisions. True interoperability requires deliberate, well-documented depth alignment processes. This presentation highlights ongoing efforts within the OSDU Data Definition community to standardize and enable transparent, cross-domain depth shift workflows.

13:30  Seamless map transfer from ArcGIS Pro to Petrel

- Erlend Kvinnesland, CEO, Geocap & Elżbieta Tomankiewicz-Gacek, Senior Data Administrator, Orlen

A robust workflow that preserves symbology and layer structure while minimizing manual effort.

14:30  Enterprise Log Storage - A well log solution containing resampled and prepared Well Logs for analysis, with a strong emphasis on performance!

- Thomas Sveinsvoll Greig, Product Owner Data Fundamentals, Equinor

Enterprise Log Storage (ELS) stores well logs in Azure from multiple sources,  making them ready for analytical use. Azure plays a central role in enabling Equinor's digital ambitions and represents Equinor's cloud journey. It encompasses a variety of solutions and concepts

15:30  Maps, Metrics, and Momentum: An NSTA Update

- Zahir Ibrahim, Sr. Business Intelligence Manager, North Sea Transition Authority

The North Sea Transition Authority (NSTA) continues to use data-driven decisions to support energy production and security, accelerate the transition, and reduce emissions. Over the past five years, we have developed a BI service delivery team that enhances our ability to transform access to information, for both internal and external users. This presentation will highlight the evolution, challenges and successes of that function.

09:30  Reduce Time-to-Market Through Ready-to-Use Seismic

- Thippayawadee Sumawong, Senior Officer, Technical Data Management, PTT Exploration and Production PLC

10:30  Utilization of API Solutions Across Platforms for Integrating NPD Shapefiles: A Case Study from REST API to Petrel API

- Mahmoud Kenawi, Senior Data Manager, Cegal

Retrieval from the NPD ArcGIS REST API with user-defined filters.

12:30  Diskos NDR - 30 years - still breathing or ... 

- Guttorm Vigeland, Diskos Project Management, Norwegian Offshore Directorate

Diskos - the Norwegian National Data Repository is a 30 year old joint industry cooperation. 

13:30  I challenge you to look at Energy Data Management challenges

- Sun Maria Lehmann, Digital Project Manager - Energy Solutions

The Energy sector is in a critical phase. Without command standards and regulatory frameworks for multi-energy solution Norway will continue to waste resources and create instability.

14:30  SEGY-Y_r2.1 A Practical Look At Adoption

- Jill Lewis, Managing Director / CEO, Troika International Ltd

In this talk we will show the example SEG-Y_r2.1 files issued by the SEG (Society Exploration Geophysicists) and the IOGP (International Oil and Gas Producers Association).  With an MOU (Memorandum Of Understanding) signed with OSDU and the NOD looking to mandate this latest version for data release please come and find out more.

15:30  Data reporting standardization – making compliant reporting easy!

- Gøril Mellem, Project Leader DRS & Sarah Angell-Petersen, Lead Petrophysicist, Equinor

Boosting trust, compliance, and efficiency through smart tools and collaboration.

16:30  AI-enhanced data management as a foundation for the genAI roadmap of the Geological Survey of the Netherlands

- Dejan Zamurovic, Data Science Team Lead, TNO

Presenting why data management is the foundation for your generative AI roadmap and how to leverage AI in data management for genAI. Sharing how to use a multitude of models to process data from documents for creating a highly granular knowledge base for better performing genAI assistants and research agents. Showing genAI roadmap and methods- and quality of categorization, entity recognition, and object detection, and data extraction.

08:30  Building the digital asset

- Bent S Lund, Team Leader LCI Solutions & Jan Fredrik Drabløs, System Manager STID, Equinor

STID is the tag and document master for technical information (LCI) in Equinor. It contains structured data combining electrical, instrument, telecom, cable routing, well, and several other domains together. We will explore the possibilities in this presentation.

09:30  Enhancing Information Quality and Compliance at Norske Shell

- Sture Svendsen, IM Advisor, A/S Norske Shell

Integrating Robust Governance, Agile Methodologies, and Strategic Metrics in our SharePoint and MS Teams environment.

12:30  Aker BP’s Experience with Migrating Users to the Delfi Platform

- Adrian Miluk, Data Domain Specialist, Aker BP & Subhankar Choudhury, SLB

Data and process organization, Nasuni implementation, value workstreams,  development platform for OSDU and new workflow testing. 

14:30  The Petrobras Reservoir Management Data Journey

- Michael Miguel Furlanetti, Petroleum Engineer, Petrobras

A Comprehensive Initiative for Data Improvement.

15:30  Developing a Data & System Strategy for G&G & Reservoir at Norske Shell 

- Elin Marie Nicolaisen, Technical Data Manager, A/S Norske Shell

The presentation will be a joint presentation together with Lars Gåseby. Subject to internal approval once we know if we are selected.

16:30  Navigating the Data Mesh Journey

- Renata Alves Santos, Deputy Chief Data Officers, TotalEnergies

Implementation of a governance approach in data domains at TotalEnergies.

08:30  From Avant-Garde to API: Data management lessons from a Jazz festival

- Berit Reppen Lorentzen, Leading Advisor Data Analytics

How 20+ years of volunteering at Vossa Jazz shaped the presenter's understanding of the full data value chain. From incomplete travel plans to real-time shuttle coordination, this is data management in the wild. A story of improvisation, iteration and insight - told through the lens of jazz logistics.

09:30  Providing a Prognosis Data Package From Petrel to Customers and Applications 

- Robert Maclean, Data Management, AkerBP

Well prognosis data package including, PPFG, fault angle and intersections and zone logs; faster, higher quality and with a huge reduction in manual work, with delivery to customer applications, AAM, OSDU and DWP.

10:30  Several geospatial integrity challenges are on the verge of resolution, aren't they?

- Monika Zakrzewska, Principal Analyst Geospatial Integrity, Equinor

In a digital world overflowing with information, effective referencing is essential for several reasons. Maintaining the geospatial integrity of data is crucial for the successful digital transformation of workflows. The ability to seamlessly utilize data with geospatial context from various sources should ideally be attainable without the continuous reliance on geodetic experts. So, how to simplify usage of geospatial data?