ENP Newswire -
Release date- 28102013 - Researchers from
The resulting system, named
'In the oil and gas industry, and in particular in the
'At the moment the industry reacts to a fault only after it happened, increasing the chance of potential disaster and the price of repair. The aim of the project was to develop a new solution allowing operators to carry out predictive maintenance of subsea control equipment in order to reduce the cost of repair and to alleviate risk of serious accidents.
'This has been achieved by developing a pattern recognition system looking at abnormal changes in the data collected from operators.'
'We believe that the potential of the techniques developed during the KTP will be viewed by oil and gas operators in the
CIG is part of the university's Innovation, Design and Sustainability (IDEAS) research institute and has built strong links with several major companies such as
Professor McCall, who leads the institute's
'We research powerful computational approaches to discover key relationships in data or key problem variables. This allows us to intelligently search for solutions in complex scenarios and provide high performance computation that best adapts resources to demands.
'Our strong track record in working closely with a variety of companies and organisations on real world problems has shown that naturally-inspired approaches, as well as being theoretically interesting, can bring significant added-value to operations. The practical impact of our research is very important to us and we continue to expand our collaborations with industry on challenging problem.'
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