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Klarian technology helps improve pipeline efficiency

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Pipeline technology firm Klarian has released details of its new AI solution that has the potential to dramatically reduce carbon emissions associated with critical national infrastructure.
The solution takes a hybrid approach to pipeline condition monitoring and anomaly detection by combining physics-based insights with machine learning. Klarian's pipeline health monitoring software represents a highly innovative development for the pipeline industry as it can be applied to any pipeline (fuel, oil or water), thereby reducing the energy needed to deliver resources.
Rob Clegg, chief executive officer from Klarian, said: “With a key focus on the energy transition and the environmental impacts of carbon emissions, pipeline operators are keen to take a smarter and more holistic approach to pipeline health.
“By using intelligent data monitoring, we are able to provide pipeline operators with the necessary insights to make better informed, and potentially more environmentally advantageous, decisions regarding, for example, the efficiency of pumping operations and fuel routes.”
Most recently Klarian has partnered with UK cross country pipeline operator, British Pipeline Agency (BPA), providing quantifiable results in reducing the energy required to supply essential resources to important national infrastructure, including a handful of UK airports.
For example, Klarian identified optimal pumping routes for BPA with an average potential energy saving of 18.8%.
John Armstrong, director and general manager at BPA, said: "BPA is proud to collaborate with Klarian in our ongoing commitment to advancing the efficiency, safety and sustainability of our pipeline operations.
“For pipeline operators, increasing productivity and profitability are not our only goals. We have a commitment, in the long term, towards reducing carbon emissions and building a sustainable energy future. This is why it is important for us to work with Klarian to examine ways in which their AI platform and technology can help us optimise our systems for both cost and carbon.”






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