08:30  To a successful OSDU journey

- Stefania Gerbaudo Laronga, Domain Consultant, Wipro

Practical examples, differences and variables on how the data-driven ecosystem is evolving for different operators and how an all-in-one data-management solution can help in solving some of their challenges along the road.

08:30  AI-Driven Decision Making

- Justo Matheus, Principal Engineer, SLB

Application of Meta-Heuristic Algorithms to Schedule Well Interventions Jobs.

08:30  Building up a professional career ladder for Data and Analytics

- Berit Reppen Lorentzen, Leading Advisor Data Analytics, Equinor

In Equinor we have a career model that consists of a leadership and professional pathway. This talk is about Data and Analytics professional pipeline.

08:30  Unveiling Disruptive Search Dynamics Metadata Insights in the OSDU Data Platform

- Sugiarto Hartono, Principal Data, SLB

Augmented Index technology within the OSDU® Data Platform enhances metadata search, leading to more efficient data retrieval and improving decision-making processes. It addresses real business use cases like Arrays, GeoContext, GeoLocation attributes, refining location-aware search capabilities for various data types related to wellbores, including logs, trajectory, arkerset, rock images, documents (e.g., Final Well Reports, Well Completion Reports), and more.

Work Stream Regulatory   (Room E)

08:30  Data confidentiality and release of data

- Elin Aabø, Senior Advisor, Norwegian Offshore Directorate

The last years there have been several changes in the regulations concerning data confidentiality for well and seismic data, This presentation will give an overview of the changes and what the consequences have been.

08:30  SEG-Y_R2.1 The New Yellow Book

- Jill Lewis, CEO, Troika International Ltd

The NOD has annouced that they will be changing the Yellow book regarding the SEGY version approved for seismic data sumission to DISCOS. In future this will be required to be in versions SEG-Y_r2.1. In this talk we will look at how difficult this is and particularly what this will mean for historic data.

08:30  Enhance completeness and readability of E&P data within the upstream sector in Uganda

- Ms. Susan Byona, Ministry of Energy and Mineral Development, Uganda

Best practices, tools, and strategies for enhancing completeness and readability of E&P data within the upstream sector in Uganda.

09:30  OSDU Data Ingestion Journey in AkerBP

- Robert Bore, Data Domain Specialist, AkerBP

The preparation of reference values to establish referential integrity.

09:30  Using Machine Learning and Augmented Intelligence for Metadata collection
- Rhys Blake, Senior Business Development Manager, Katalyst Data Management
Innovative use of legacy data driven by sustainable energy goals.
ML/AI streamline indexing, reducing cycle times for low-carbon projects.
Improved workflows automate tasks, enabling faster decisions and innovation

09:30  What do cycling, skiing, scuba diving and motorcycling have in common?

- Andrew Schulze, Lead data architect: SSW and P&E, Shell

How I have gathered and used data in my private life, and what this has taught me about data management.

09:30  Towards enhanced geospatial intelligence in OSDU. Geodetic Integrity QC journey

- Monika Zakrzewska, Principal Analyst Geospatial Integrity, Equinor

Ensuring geospatial integrity of seismic and well data is vital for consistent, reliable, accurate decision-making. Join our session on governance of seismic position metadata and geodetic integrity QC in OSDU.

09:30  Diskos 2.0 The Norwegian National Data Repository - Status and way foreward

- Guttorm Vigeland, Diskos Project Management, NOD

Diskos 2.0 has been operational for more than one year now. Current issues and thoughts on our way foreward. Can we further extend the benefits of the joint cooperation and the system?

09:30  Data Foundation: A Subsurface Data Platform

- Andreas Svendsen Sandvik, IT & Digital Business Partner - Subsurface & Exploration, Vår Energi

  Mark Hall, Principal Geoscience Advisor, Vår Energi

This presentation will focus on how Vår Energi utilize Azure, Snowflake and OSDU in their data platform. The Subsurface Data Platform integrates and consolidates various data sources, ensuring seamless access and management of geological, geophysical, and operational data. This platform is designed to enhance data quality, improve data accessibility, and support advanced analytics and AI applications.

09:30  Collaborative Horizons: Driving Operational Efficiency with the PAU Data SharePoint platform

- Mr. Andrew Ochan, Petroleum Authority of Uganda

Data Sharing Platform.

09:30  Leveraging Cloud-native AI/ML Platform to transform vision into reality in energy markets

- Chidozie Agu, Data Scientist, Halliburton - Landmark

10:30  Empowering Collaboration with the OSDU® Data Platform for Reservoir modeling

- Markus Velve Lund, Manager, Product Management, AspenTech

Explore the transformative capabilities of the Reservoir Domain Data Management Service (RDDMS) in enhancing geoscientific collaboration through real-world use cases. Highlights include seamless data sharing, interoperability, and practical results within the OSDU platform, driving efficient decision-making in the energy industry.

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10:30  Generative AI to accelerate Root Cause Analyses (RCA)

- Vetle Nevland, Graduate data scientist, Aker BP

To find find relevant information that can help locating the root cause of an equipment failure takes a lot of time for the discipline engineers, time that should ideally be allocated for the analysis part of a Root Cause Analysis (RCA).

We envision an AI solution built around LangChain, an open-source Generative AI framework with versatile functionality. To this end, a multi-agent framework seems to be a promising solution to handle the abundance of information hidden throughout multiple data systems. 

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10:30  Source of Truth

- Thibaud Freyd, Senior Data Scientist Consultant, CEGAL

The project aims to establish a reliable Source of Truth (SoT) for well data management in the oil and gas industry in Norway. The SoT will automatically compare and rectify discrepancies in well metadata and data from the customer, the Norwegian Petroleum Directorate (NPD), and the Operator. The process begins with data ingestion facilitated by Microsoft Fabric, which allows the ingestion of data from diverse sources and formats. The extraction of data from unstructured PDFs from Diskos is addressed using Al and NLP techniques. The identified discrepancies and the corrected metadata are then presented to the customer in a Power BI dashboard. The project initially focuses on well coordinates before delving into more detailed well data.

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10:30  Automation in geospatial is an established concept and will be improved with further data compliance

- Matt Edge, Senior Geodetic Analyst, Geomatic Solutions

Exploring the current state of automation in geospatial data management: how adoption of and compliance with industry common exchange formats lays strong foundations for a fully automated future.

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10:30  DISKOS Well Data Loader for Data management

- Robert Bore, Data Domain Specialist, AkerBP

The importance of having a structured data foundation to quickly support our end users.

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10:30  Transforming to OSDU: Real-World Insights and Lessons Learned

- Sugiarto Hartono, Principal Data Management, SLB

Real-World digital transformation into OSDU Lessons Learned: Do and Don't - Why Data Governance is very important part of the digital transformation into OSDU - Change management for the adoption into the new way of working and collaboration using OSDU Data Platform.

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10:30  Angola has restructured their petroleum sector and is in the process of building strong national institutions 

- Mr. Ercilio Justica Almeida, ANPG

Building robust Resource Management institutions and restructure Data Management structure and management.

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10:30  Well Data Loading and QC Automated Workflow for OSDU Ingestion

- Chidozie Agu, Data Scientist, Halliburton - Landmark