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Condition Monitoring of Offshore Structures


Term:

IAP

Department:

2: Mechanical Engineering

Faculty Supervisor:

Brian Anthony

Faculty email:

banthony@mit.edu

Apply by:

09/07/2021

Contact:

Theresa Werth: theresaw@mit.edu

Project Description

Deepwater offshore structures are at a water depth > 400 ft and these are usually at remote locations (Figure: Floating Production Storage and Offloading (FPSO) Facility in 1000m Water Depth). These structures are excited by complex forces and information about the condition of the asset, to evaluate multi-disciplinary failure mechanism(s), during operation is challenging and sometimes not possible. It is important to assess the safety and reliability of these structures to prevent incidents such as the Deepwater Horizon in Gulf of Mexico and Piper Alpha in explosion in North Sea. The objective of this work will be to determine how we can close the gap on the information we have on the condition of assets by using sensors and enable a data driven approach towards structural integrity management. Impact: This project is of interest to offshore air industry, oil and gas industry, municipalities in support of bridges.

Pre-requisites

Experience and/or interest in Machine learning and data analytics, condition monitoring and wear prediction.