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| Code | Date | Location | price (€)* |
|---|---|---|---|
| BLM 103 | 18 May 2026 | Online | 700 |
| BLM 103 | 5 Oct 2026 | Doha | 1000 |
Managing large volumes of complex data at a global scale—particularly in geoscience and subsurface projects—poses a significant challenge for the energy industry, regulators, and emerging geo-energy sectors such as geothermal, subsurface energy storage, carbon sequestration, and hydrogen. Geoscientists and engineers currently spend significant time searching for, collecting, and preparing data, leading to inefficiencies that slow project execution, increase costs, and limit organizational capabilities. Fragmented data management also hinders the development of data-driven workflows, the use of AI/ML tools, and the orchestration of end-to-end processes across key subsurface domains such as exploration (PBE), field development (FDP), drilling (WDP), and reservoir management (WRFM). To address these challenges, the energy industry, service providers, and IT companies have jointly established the open-source Open Subsurface Data Universe (OSDU™) under The Open Group. This cloud-agnostic platform is transforming technical data management and is now production-ready, with around 230 consortium members actively implementing it. This course provides foundational knowledge of the platform, including data ingestion, deployment, workflow applications, and future developments in subsurface data and digital solutions.
1.1 Why is a fundamental change in subsurface & wells technical data management required?
1.2 Data management challenges in the energy industry and public organizations
2.1 Why to go open-source?
2.2 What is the OSDUTM Forum and who participates in it?
2.3 How does open-source software development work via the consortium?
3.1 Basic principles of the Open Subsurface Data Universe (OSDUTM) data platform
3.2 Reference architecture of the OSDUTM data platform
3.3 How to manage data access and security in a global cloud-based infrastructure?
3.4. What is the difference between a data lake and a data platform (ie OSDUTM)?
3.5 Shared services in the OSDUTM data platform
3.6 What is data ingestion and how does it work?
4.1 How can your organization or project benefit from an open-source data platform?
4.2 Simplification of technical data management in large organizations
4.3 How to enable data interoperability between applications?
4.4 How to enable technical and business workflows in subsurface & wells projects?
4.5 How can subsurface & wells professionals collaborate more efficiently in complex projects?
4.6 Lineage and audit trails - why do you want them?
4.7 How to enable data-driven workflows (AI/ML) in subsurface & wells?
4.8 What is the role of the Market Place?
4.9 How to setup Deployment & Support?
4.10 Why is the OSDUTM Data Platform a global success story?
The instructor is a geo-energy expert and lecturer at Friedrich-Alexander University (FAU), Germany, with extensive experience in geoscience and energy systems. He has over 30 years of international industry experience with Shell, where he held senior roles including Chief Geologist and Head of Geological Services. His work has focused on digital transformation in subsurface data and energy transition, Including contributions to the Open Subsurface Data Universe (OSDU) initiative. He has published widely in geoscience and led global training programs for subsurface professionals. In addition to academia, he serves as an advisor in energy transition and national programs, with strong involvement in professional organizations such as European Association of Geoscientists and Engineers and American Association of Petroleum Geologists.
This course has been designed for geoscientists, well engineers, reservoir engineers, production technologists, technical data managers, data scientists and IT professionals who are working with subsurface and engineering data or a portfolio of technical applications.
o Intermediate
Participants will learn:
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