Business context
Managing large amounts of complex data types on a global scale - like involved in geoscience and subsurface projects - in general is a major challenge for the energy industry, regulators as well as new geo-energy developments related to the energy transition (geothermal, subsurface energy storage, carbon sequestration, hydrogen). Currently, geoscientists and engineers are spending a large amount of their time to search and collect data for projects and the use in various technical applications resulting in inefficiencies. This is not just slowing down project progress significantly but is also a major cost and capability factor for the energy industry and public institutions. In addition, it also hampers development of data-driven workflows and the application of data science tools (AI/ML). Even more concerning, it obstructs the execution of end-to-end workflows and their orchestration. This applies to all of the four major subsurface project workflows which are exploring for new energy opportunities (PBE), developing and executing such opportunities (FDP), drilling new wells (WDP), and optimizing them during long-term operations (WRFM). In order to address this digitalization and organizational challenge, the energy industry, service providers and IT companies have decided to stop competing in the field of technical data management and setup the open-source Open Subsurface Data Universe (OSDUTM) project managed via the Open Group. The newly established cloud agnostic data platform is revolutionizing technical data management and is now considered production ready. The roughly 230 consortium members are currently working on the implementation in their organizations, services, and applications. This course is providing you with the awareness level knowledge on fundamental elements of the data platform, data ingestion into it, deployment of it in large organizations and some use cases for workflow improvements. It also gives you an insight into future developments around subsurface data and applications.
Who should attend
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. The course is recommended for staff from the energy, service and IT industry as well as for employees in the public sector and universities involved in or working with subsurface, wells and production data or applications. Particularly staff involved in geo-energy, new energy and nuclear waste site projects or major national subsurface initiatives (e.g., geothermal) are encouraged to attend this offering.
Prerequisites:
Familiarity with technical data management or IT services is helpful but not required. Managers and staff who have previous experience in large-scale data management activities in their organizations will be enabled to develop a better understanding of how to apply state-of-the-art cloud technologies and workflow improvement opportunities in their respective sectors. Previous experience with geoscience, well or other subsurface data and workflows is beneficial but not required.
Course content
This course will address questions about why a paradigm shift has happened in the field of technical data management in subsurface and wells driven collaboratively by the energy, service and IT industry. The benefits, opportunities and implementation of this revolution via the open source OSDUTM data platform solution are at the heart of this course offering. The course will provide insights into the following questions:
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?
Participants will learn about the following topics:
• Current data management challenges in the energy industry and public organizations
• Basic principles of the Open Subsurface Data Universe (OSDUTM)
• How does open-source software development work via the consortium?
• Basic architecture of the cloud agnostic data platform-as-a-software (PaaS) solution
• How to simplify and standardize technical data management in large organizations
• What is data containerization?
• How can your organization benefit from implementation of OSDUTM?
• How to enable data and application interoperability in subsurface E2E workflows
• How subsurface and wells professionals can collaborate more efficiently in complex projects
• How to enable data-driven and technical workflows in subsurface & wells projects
• What opportunities does a cloud agnostic data platform provide for the energy, service and IT industry as well as the public sector and regulators?
Learning, methods and tools
This is an on-site course comprising a mixture of lectures, discussions, feedback questions and case studies. The course follows the discover, ask and learn approach. This part can also be provided as online version, if required. There is also an option to arrange an onsite workshop internally for companies or public organizations based on the course content. The event can serve as awareness level introduction or, alternatively, as kick-off session for an OSDUTM implementation project within your organization. Such a workshop aims at developing a common understanding and an integrated implementation approach for the OSDUTM data platform involving subsurface & wells professionals, technical data managers and IT services staff in your organization.
Day by day programme
Part 1 - Fundamentals of the OSDUTM data platform (on-site or online) Part 2 - Benefits and Application of the OSDUTM data platform (on-site or online) Part 3 - Onsite Workshop for your organization (optional) • Introduction to the OSDUTM data platform • Interactive workshop tailored to organizational needs.