Integrity, Life Extension & Monitoring
This service is provided collaboratively by 2H and Clarus Subsea Integrity, a division of 2H.
Digital twins provide a complete overview of the condition of an offshore system to proactively manage integrity and address issues before they happen.
What is a Digital Twin?
Simply put, a digital twin is a virtual replica of an actual offshore system. It significantly reduces the time it takes to generate a health check of an asset and is used as an operational decision-making tool for integrity management and life extension.
Where a conventional approach using FEA to identify stress on a system may take a couple of months to complete, the same results can be achieved in four hours using a digital twin.
Conventional FEA Analysis
How Does a Digital Twin Work?
A digital twin relies on machine learning and initially we use the output from FEA or existing field data to train it to represent the real-life system. We have developed algorithms that track stress and fatigue in near real time, which means no waiting on monitoring data or time-consuming analysis to get a picture of the system’s condition. This technology can be applied to a wide range of offshore applications to make better use of measured offshore data such as detecting mooring line failure from the behaviour of changes in vessel position, and dynamic drift off watch circles for DP drilling vessels based on the prevailing weather conditions.
Development of a Digital Twin
To develop a digital twin, we work with clients to gather field data that is already available. If needed, we can help specify a similar system that will provide the input data to develop the digital twin. Sometimes it is also necessary to place monitoring devices at key locations on the real system to capture complex local response. This data is then applied to the entire system, creating a comprehensive virtual structural monitoring system.
The digital twin can be cloud based or deployed on the edge, creating a customisable and user-friendly interface to process field data and visualise real-time stresses and fatigue damage accumulation over the life of field.
Brazil client – Riser drift off app
LLOG - Flowline fatigue digital twin
Tullow - Flexible riser fatigue digital twin