Ogic backs digital research projects to tune of £500k

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The Oil and Gas Innovation Centre (Ogic) is supporting three projects exploring how digitalisation can improve efficiency and provide cost savings to the oil and gas industry.

The Aberdeen organisation, which fosters links between emerging oil technology companies and universities, will provide a total investment of £481,281 for the projects.

DNV GL, ComplyAnts and IDS have teamed up with Robert Gordon University’s School of Computing Science and Digital Media to conduct research into the digital transformation of the oil field.

Ogic chief executive Ian Phillips said: “Digitalisation is key to a sustainable oil and gas industry. Successful automation and integration of a huge range of tasks across many aspects of the exploration and production cycle are now possible, through the ability to rapidly process vast quantities of data in very short periods of time.

“Ogic is supporting three projects researching new approaches to exploration tasks which will reduce costs and increase efficiency and, ultimately, production in a less labour-intensive way.”

DNV GL is developing an interactive programme to extract and process information from images of piping and instrumentation diagrams, and other types of engineering drawings.

ComplyAnts is working on an automated system to manage the compliance process, while IDS is producing a data-driven tool to predict task duration.

Mr Phillips added: “RGU’s School of Computing Science and Digital Media has a wealth of expertise and its involvement in these three projects is testament to this.

“Two of the three projects have also received support from another of the Scottish innovation centres, The Data Lab, and they are excellent examples of how the innovation centres can work together to support the development of disruptive technology.”

A reader in machine learning and the project academic lead at RGU, Eyad Elyan, said: “This is another great opportunity which enables our team to apply cutting edge research in machine learning to solve challenging industrial problems by intelligently mining and exploiting large volumes of structured and unstructured data such as images, text documents and others.

“Such projects have the potential to significantly improve existing business practices and can demonstrate the quality of research and teaching taking place at the university.”

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