Mooring Integrity Management Through Digital Twin and Standardized Inspection Data Phase 2

Abstract This paper summarizes a current outcome of DeepStar project titled, "21164 Standardization of Inspection to Enable Digital Twin (Phase 2)", which develops a digital twin framework for mooring chains with physics models, standardized inspection data template, and various analytical tools, including automated tools for data conversion, anomaly detection, etc., to enable real-time integrity monitoring and failure prediction. Four activities are included in this study: (1) literature study and industry workshop which collects industry feedback to prioritize the development of case studies for tools that aid digital twins; (2) development of automatic data converting tool to collect digitized data in standardized form from existing inspection reports; (3) development of automated anomaly/feature detection tool that detects anomaly, i.e., marine growth, and tracks link ID from existing ROV footage data; and (4) development of digital twin process which incorporates mooring analysis, failure analysis and integrity management. The failure analysis process incorporates standardized inspection data into the physics model while accounting uncertainty from each information source. Integrity management is achieved through a web-based condition visualization system, called digital twin dashboard.