Day 3 Thu, October 26, 2017 2017
DOI: 10.4043/28012-ms
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Developing a Digital Twin for Floating Production Systems Integrity Management

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 asse… Show more

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Cited by 15 publications
(6 citation statements)
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“…They elaborated that a digital twin provides continuous monitoring and simulation for all system components, including those in 2 of 6 inaccessible or sensitive zones. Setting extreme allowable values to verify compliance by the digital twin enables the identification of instrumentation failures and inconsistencies [5], [6].…”
Section: Digital Twinmentioning
confidence: 99%
“…They elaborated that a digital twin provides continuous monitoring and simulation for all system components, including those in 2 of 6 inaccessible or sensitive zones. Setting extreme allowable values to verify compliance by the digital twin enables the identification of instrumentation failures and inconsistencies [5], [6].…”
Section: Digital Twinmentioning
confidence: 99%
“…The digital twin concept is gaining traction as an essential element of asset condition monitoring in offshore engineering (e.g. [11][12][13]). The concept of whole life geotechnical analysis is the best means to incorporate the foundation or anchoring system of an asset into its digital twin.…”
Section: Application To Different Stages Of Design Lifementioning
confidence: 99%
“…The realization process in a digital twin simulation must fulfil the following conditions (Renzi et al 2017;Uhlemann et al 2017):…”
Section: Digital Twin Theory Of Hydraulic Supportmentioning
confidence: 99%