Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Remote Inspection of Oil and Gas Assets using Advanced Machine Learning and Vision Techniques
People Involved
Project Description
The project will create an intelligent data-driven platform utilising images, ultrasonic scans & other data captured by bespoke remote inspection tools to provide Oil & Gas Operators worldwide with more accurate assessment and predictions of rate of wall loss, corrosion and fatigue of offshore assets.
Status | Project Complete |
---|---|
Funder(s) | Innovate UK AISUS |
Value | £176,688.00 |
Project Dates | Jul 15, 2021 - Jul 14, 2023 |
Partner Organisations | AISUS Offshore Ltd |
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