Natural Resources

Natural Resources

Natural Resources related sectors, including oil & gas, mining and energy, are becoming increasingly digital with digital twins being applied during the engineering, design, construction, deployment, and operations phases of the lifecycle. Their goal is to improve production, predict or detect failures, and improve safety. Digital Twin Consortium focuses on how digital twins can create value in oil & gas, mining and energy operations.

We aim to help the natural resources industries deliver standardized definitions, protocols and methodologies that enable these sectors to create, apply and use precise, knowledge rich digital twins that replicate, simulate and evaluate the physical twin.

Digital Twin Consortium working groups publish opinions and position statements relating to regulations and policies, definitions, launch and appraisal of Value Innovation Platforms, identification of gaps in standards, semantic models, taxonomy, and reference architectures.

Our Key Priorities

To explore use cases for digital twins in Natural Resources

  • Explore use cases like smart well construction, and autonomous mines.
  • Explore configuration scenarios in order to establish the boundaries between the virtual representation and the physical twin, and the requirements for synchronization.
  • Determine the required level of model fidelity.

To define and identify types and applications of digital twins in Natural Resources

  • Explore the applicability of digital twins to different stages of the production lifecycle.
  • Identify the commonality and differences between different types of natural resources industries.
  • Define semantics necessary to describe a Natural Resources (or industry subsection) digital twin.

To explore and identify the various implementation scenarios for Natural Resources digital twins

  • Identify the need for interoperability between Natural Resources digital twins.
  • Look at the interaction required between physical and digital components (e.g. feedback loops.)

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