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The "Open AI Energy Initiative" launched

Tuesday, June 22, 2021

Shell, Baker Hughes, C3 AI and Microsoft have launched the 'Open AI Energy Initiative', a plan to make specialist oil and gas AI modules commercially available to other companies.

Shell, Baker Hughes, C3 AI and Microsoft have launched the 'Open AI Energy Initiative', a plan to share specialist oil and AI modules through a commercial relationship, and develop what is described as an 'ecosystem of AI solutions' for the oil and gas industry.

To get things started, Shell is making a number of its in-house predictive maintenance modules publicly available (although not free of charge), including for control valves, rotating equipment and subsea electrical submersible pumps.

Baker Hughes is offering interoperability to the Open AI Initiative with a range of its technologies including the 'iCenter' turbomachinery advanced digital services, the 'Bently Nevada System 1' condition monitoring software, and its valve lifecycle management technology.

These modules include pre-trained AI models, embedded subject matter expertise, and low latency data connectors.

There are also 'thermodynamic and operating parameter libraries, global health monitoring services, deep diagnostics, failure prevention recommendations, and prescriptive actions.'

The Open AI Initiative will also 'augment' a number of its applications developed jointly with C3, including for reliability, production optimisation and inventory optimisation.

The idea is that oil and gas companies, service providers, equipment providers and independent software vendors could all offer AI and physics-based models, and related services, such as monitoring, diagnostics, prescriptive actions and services.

These models could be run on the Baker Hughes C3 AI platform, and Microsoft Azure cloud hosting.

They can be used to extend Baker Hughes' existing 'BHC3 Reliability' application, which provides reliability, process, and maintenance engineers with AI-enabled insights to predict process and equipment performance risks. It can take data from a number of sources, covering full plant operations.

'Over the last few years, we have been working with C3 AI to scale our AI-based predictive maintenance solutions to reduce costs and improve the productivity, reliability, and performance of our assets,' said Shell Chief Technology Officer Yuri Sebregts.

'We are monitoring more than 5,200 pieces of equipment using machine learning across upstream and downstream manufacturing as well as integrated gas assets.'

'We are excited to take this capability to market, and want to develop an open ecosystem where others can offer AI solutions to help improve reliability across the industry.'

'We really see this as core to the next step of where we might go. With higher reliability comes better safety, better economic performance.'

Associated Companies
» Baker Hughes (BHGE)
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