Abstract
The global energy industry is being radically transformed by increased access to data and digitalization of tools and processes. When data is harnessed effectively and then combined with engineering insight it has the ability to radically improve how energy assets are designed, operated and optimized from concept and front end design all the way through the life of the field to decommissioning.
Aker Solutions has developed a data platform and series of software applications which together form a digital twin capable of optimizing energy operations at a product, facility and field level integrating subsea and topside facilities.
The digital twin, conceived during the early concept phase (or retrofit to existing assets), draws together diverse data sources into an integrated format which can be managed and enriched as the asset progresses through its lifecycle. Software applications built on this platform include:
Using knowledge-based and adaptable building blocks, our early phase software application accelerates the development of concepts with the ability to rapidly explore different options and adjust and optimize to different customer driven variables
During detailed design phase, software applications are used to drive engineering automation and ensure that safety is built inherently into the design
Simulation software applications are used to test and evaluate complex installation operations in a virtual environment before any offshore operations take place
Digital twin can add significant value during operations and maintenance activities with performance and integrity data collated and visualized helping to make informed decisions to ensure production optimization and continuity
At a product level, Aker Solutions’ connected subsea equipment uses software applications and analytics to perform condition monitoring and enable predictive maintenance, maximizing production uptime
This digital thread allows data to seamlessly transition across asset phases enabling engineers, operators and asset managers to make informed and confident data-driven decisions; increasing efficiency, reducing cost and reducing risk.
