Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Subsea Artificial Intelligence Body Of Knowledge
People Involved
Dr Thanh Nguyen t.nguyen11@rgu.ac.uk
Senior Research Fellow
Professor John McCall j.mccall@rgu.ac.uk
Professorial Lead
Professor Jinchang Ren j.ren@rgu.ac.uk
Professor of Computing Science
Dr Carlos Moreno-Garcia c.moreno-garcia@rgu.ac.uk
Associate Professor
Project Description
This project will establish an industry consortium to support a collaboration to create a Subsea Artificial Intelligence Body of Knowledge. (A cloud based repository of images from known subsea events and non events, fully anonymised, classified and annotated by subject matter experts.)
It will deliver a proof of concept that focusses on a narrow subset of data e.g. pipeline data, provided by various operators in the North Sea.
A subject matter expert will be appointed by the consortium to inspect, curate, de-label, anonymise and annotate the data provided by the operators.
The National Subsea Centre will build the SAIBOK platform and the necessary API for AI developers to apply the latest machine learning algorithms.
Successful delivery of the proof of concept will lead to more data types being incorporated into the platform to identify additional events/assets during subsea inspection and represent significant progress towards making a machine learning approach to subsea inspection an industry standard.
| Project Acronym | SAIBOK - SPARK-0925 |
|---|---|
| Status | Project Complete |
| Funder(s) | Net Zero Technology Centre |
| Value | £116,160.00 |
| Project Dates | Mar 1, 2022 - Apr 30, 2023 |
| Partner Organisations | Intel Corp BP Exploration Operating Company Ltd Total E&P Chevron North Sea Ltd Xodus Group Ltd |
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