Flexible Riser Life Extension Associating Machine Learning and Innovative Monitoring – Pedro Viana, Flexibles Engineering Manager, Woking

14th – 19th June 2020  ⋅  Shanghai, China

The paper introduces advanced flexible riser design fatigue analysis and describes an innovative method that allows the conversion of measured dynamic riser and vessel response into real time fatigue damage accumulation. This is achieved through a combination of field-proven monitoring, machine learning, and global and local flexible riser stress analysis at both the tensile and pressure armour layers of a flexible riser. The innovative monitoring system outputs and benefits are described, being the input for the machine learning method used for fatigue tracking. Key aspects and benefits of the methodology, results and the efficiency increase in comparison to traditional methods are discussed and recommendations made on the multiple applications that are enabled through these.

More information: ISOPE 2020

Flexible Riser Life Extension Associating Machine Learning and Innovative Monitoring – Pedro Viana, Flexibles Engineering Manager, Woking

14th – 19th June 2020  ⋅  Shanghai, China

The paper introduces advanced flexible riser design fatigue analysis and describes an innovative method that allows the conversion of measured dynamic riser and vessel response into real time fatigue damage accumulation. This is achieved through a combination of field-proven monitoring, machine learning, and global and local flexible riser stress analysis at both the tensile and pressure armour layers of a flexible riser. The innovative monitoring system outputs and benefits are described, being the input for the machine learning method used for fatigue tracking. Key aspects and benefits of the methodology, results and the efficiency increase in comparison to traditional methods are discussed and recommendations made on the multiple applications that are enabled through these.

More information: ISOPE 2020