Abstract
Floating production systems asset integrity management programs are dependent on a combination of inspection, analysis and measured data. These tasks are often labor intensive to perform. A digital twin model combines data and computer models, which can significantly increase the efficiency of these integrity management tasks. A digital twin model has been developed that utilizes typical floating systems measured data and a global performance model. This digital twin model provides an automated continuous assessment of the asset. Eliminating many of the labor intensive activities allows personnel to focus on applying the outcomes of the floating systems assessments rather than performing the assessments. The automated and continuous nature of the digital twin model also allows for a much greater understanding of the behavior of the system, which is the fundamental basis of a successful integrity management program.
