Asystom SAS has developed an easy-to-install, universal solution for predictive maintenance, using machine learning with multi-sensors for accurate prediction. Archer and Asystom will co-operate in the further development of the solution for drilling facilities worldwide.
“Asystom’s technology is easily adaptable to our industry and meets the market demands for improved asset management by use of artificial intelligence. Machinery learning will enable us to predict and avoid shutdowns, thus reducing Non-Productive Time significantly. The system will aid the asset owner to further reduce cost by enhanced condition control and optimising maintenance planning. Consequently, the system will respond to our goals to reduce our industry’s carbon footprint,” said Peter Nygaard Andersen, VP Engineering - Archer.
“We are delighted to partner with Archer, to deliver an IoT predictive maintenance solution that will help oil and gas drilling facilities to future proof their operations. The solution, will improve the productivity and thus the profitability of the production units by avoiding unscheduled shutdowns,” commented André Naccache, Managing Director -Asystom.
Archer will market the technology, but also provide Asystom with competency and knowledge through their extensive drilling facilities experience.
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The November/December issue of Oilfield Technology begins by reviewing the state of the North Sea before moving on to cover a range of topics, including Drilling Technologies, Deepwater Operations, Flow Control.
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Read the article online at: https://www.oilfieldtechnology.com/digital-oilfield/08032021/archer-and-asystom-enter-agreement-for-predictive-maintenance-technology/