The integration of Artificial Intelligence (AI) with digital twins presents significant opportunities for creating business value in the offshore and subsea industries. However, the premise for a valuable and safe digital twin is that it provides trustworthy information and has the ability to determine and communicate uncertainty in the output. DNV-RP-A204, Assurance of Digital Twins, establishes a framework for evaluating the performance and reliability of digital twins, ensuring their outputs are fit for decision-making.

This presentation explores how to develop and integrate AI in a digital twin solution based on the principles outlined in DNV-RP-A204. AI-driven models can improve predictive capabilities, anomaly detection, and optimize system performance, provided it fits into the workflow and provides trustworthy results. It will also incorporate the practices described DNV’s report to Havtil “State of the art for responsible use of artificial intelligence in the petroleum sector”. It will discuss actionable strategies for implementing digital twins that create business values and are trustworthy.