Pipeline operators are sitting on vast amounts of data, yet much of it goes underutilised. As the sector faces growing pressure to improve performance, cut costs, and reduce energy use, hybrid AI offers a compelling way forward.
Effective geohazard management is critical for pipeline operators to maintain asset integrity and prevent costly failures.
How do you develop effective AI for the pipeline sector? That was the question posed to Anna Andersson, Klarian’s Lead Data Scientist. Over a short period of time, Anna has embedded an approach to development that prioritises reliability, usability, and trust.
With the climate crisis intensifying, the water sector must find solutions to reduce its carbon emissions. Pumping systems alone account for 20% of global energy use, making them a prime area for optimisation.
Greg Bodnar, Head of Embedded Devices, gives us his insights to situational awareness for pipeline networks.
In November, Klarian earned the Breakthrough Culture Award, being named one of the UK most loved companies to work for.
The UK has led the world in decarbonising its energy supply, reducing emissions by 75% since 1990. Yet, like many nations, it remains dependent on fossil fuels for a significant portion of its energy.
Are you confident in the performance of your pipeline network?
The consequences of poorly managed geohazard risks are serious, costing companies millions of dollars in fixes and delays, and potentially polluting the local environment. Good geohazard management is essential. And it’s essential that developers and operators have the best tools for the job.