Data science to help oil industry

Cutting edge data science will be deployed to improve the performance of flow meters in the oil industry, thanks to a collaboration between Scottish academia and the private sector.

Robert Gordon University in Aberdeen and The Data Lab, one of Scotland’s eight innovation centres, will work with the firm NEL to mine 30 years worth of data, enabling much greater analysis of ongoing performance and trends.

Saving oil industry ‘billions of pounds’

The intelligent meter health checks will save operators billions of pounds per year from unnecessary calibrations, maintenance and shutdowns.

The new system will enable greater scrutiny of NEL’s archive to more intelligently analyse a much larger array of data available from devices, and to pick up on historical performance trends, helping  the oil & gas industry to move away from time-based flow meter calibrations, to a risk or condition-based model.

Using data to maximise well revenues

Muir Porter, NEL’s Group Manager, said: “This is an industry-first that will deliver operators the ability to analyse data on very large complex data sets to better inform decisions that have huge potential for cost optimisation. NEL is the UK’s National Measurement Institute, responsible for maintaining the flow measurement national standard. By delivering this unique capability, we will also be able to feed into high-impact industry research and guidance going forward.”

John McCall, Director, Smart Data Technologies Centre, Robert Gordon University, said: “Our data science knowledge, combined with NEL’s flow metrology expertise, creates the opportunity to analyse data in a novel way, enabling us to provide previously unobtainable insights. We will uncover hidden data trends and relationships that will help operators to better understand and predict the condition of their meters, allowing them to minimise operational costs and maximise well revenues.”

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