Askelos to advance R&D into digital twin technology with OGTC funding

28 February 2019 (Last Updated February 28th, 2019 10:13)

The Oil and Gas Technology Centre (OGTC) has awarded funding to Askelos to advance research and development (R&D) into digital twin technology for the oil and gas industry.

Askelos to advance R&D into digital twin technology with OGTC funding
The digital twin software will support a reduction in inspection and maintenance costs. Credit: Akselos.

The Oil and Gas Technology Centre (OGTC) has awarded funding to Askelos to advance research and development (R&D) into digital twin technology for the oil and gas industry.

Akselos’ software has been developed for the operation of any large-scale asset and will generate digital twins of pressure vessels to produce accurate predictions for maintenance and inspection.

By combining this with robotics inspections, the software will allow accurate validation of the structural integrity and fitness for service.

Akselos vice-president John Bell said: “The OGTC is of crucial importance to the future of the UKCS. This partnership will consolidate our efforts to bring value to the UK oil and gas industry with world-class emerging digital technology.”

“This approach ties in perfectly with the focus on robotics and automation, harnessing the power of data and technology to improve overall asset efficiency.”

The digital twin software is expected to support a reduction in inspection and maintenance costs, as well as a 25% decrease in equipment downtime.

The project aligns with the OGTC’s Asset Integrity Solutions Centre, which accelerates technology solutions for improving process vessel inspection, thereby increasing production by up to £157 million a year.

Oil & Gas Technology Centre Asset Integrity Solution centre manager Rebecca Allison said: “We are delighted to support Akselos with the development of this technology.

“Digital twin software will speed-up data analysis, testing ‘what if’ scenarios to optimise future inspection programmes and allow for improved shutdown planning.

“This approach ties-in perfectly with the focus on robotics and automation, harnessing the power of data and technology to improve overall asset efficiency.”

The project is set to start immediately and the data will be made available once it concludes in June.