Monitoring And Machine Learning To Predict Structural Integrity For Fixed Offshore Platform Intervention

This Presentation discusses the following:

Time dependant degradation mechanisms that effect fixed offshore platforms.
Typical inspection and maintenance philosophies.
How Natural Frequency Response Monitoring (NFRM) can be used to give a real-time understanding of a structures condition.
How Machine learning can help identify relationships between logger accelerations and hotspot loads, and track fatigue damage of critical members.
A case study where NFRM and machine learning have been adopted in the integrity assessment of a fixed platform.
How through combining the approaches of NFRM and machine learning, the structural integrity of a platform can be understood and leading to cost savings through a reduction in the scope and frequency of inspection campaigns.