Data at the Center: All Subsurface and Wells Data Stored in a Single Data Platform

  • Multiple OSDU instances, acting as one, around the world addressing the latency distance limitations between 3D users and their applications/data:
    • When using 3D apps the maximum distance for reasonable performance is approximately 40 MSEC. This means for global Operators that they need multiple OSDU Platform implementations around the world. In this case Meta and Master data is replicated around the world and real data remains in the region it belongs
  • Data (structured/unstructured/real time) to be stored using standard data formats. We move away from proprietary formats and focus on formats that we can use more broadly
  • Extracting Metadata to ensure that all data in the OSDU Data Platform can be located using Search or latest Graph technologies: We should be able to do shallow and deep search
  • Master data ensuring that we have single set of definitions across OSDU and adjacent Data Platforms
  • Well defined set of APIs providing a standard way of accessing the data in the OSDU Data Platform. Make sure that all applications can use a single set of APIs to access all data sources in the OSDU platform

New Generation of Applications being Developed/Acquired:

  • Flexible orchestration of workflows
  • (Micro) Services driven
  • Kubernetes support: All micro services Kubernetes ‘’’driven’’
  • User Interface: HTML5 driven (including 3D support) and therefore support for any device such as tablets, phones, etc
  • Getting enabled for VR Collaboration support: Important for global cooperation
  • Both Physics and Data Driven applications: The latter category gets more and more important when thinking about Machine Learning, etc
  • Artificial Intelligence: Exploiting Machine Learning wherever possible
  • Support for existing apps: Often you have existing apps, based on MS Windows desktop/Linux desktop, and we have the opportunity to do an ‘’lift and shift’’ of these applications to the OSDU platform


Current Scope

  • Coverage: any organization with a need to store, manage or analyze subsurface and wells data
  • Portfolios: subsurface including exploration, development, and wells
  • Support for Data Driven (Artificial Intelligence) Applications: All data in one Data Platform will enable AI (such as Machine Learning) based applications to access this data

Current Problem Statement

  • Data is linked to applications: we are not data-driven but applications-driven and, therefore, we will have silos
  • Data is stored in silos: therefore, there is no lineage between data sources or from wells back to exploration
  • Metadata is not stored with the data: metadata is information about the data
  • Limited/no search capabilities: since we have no metadata, we have no real search capabilities
  • Data set-up: not suitable for data-driven applications

OSDU Scope

  • All public cloud-based: provides unlimited scalabilty
  • All data for the data platform services loaded via the data ingestion services: extract metadata, data quality, etc
  • Well-defined (RestFUL) APIs defining the access to the data platform services
  • Applications: (micro) services-based
  • Information security: covering all elements with focus on data security
  • In-country solution: for those countries where we are unable to move data out of the country and where there are no cloud services
  • Support for legacy applications based on Microsoft® Windows or Linux® desktop

The Open Group Platinum Members