Norwegian data analytics software to smarten predictive maintenance in Oil & Gas

Dietsmann Smart Labs, French-based ‘New Tech’ branch of energy industry veteran Dietsmann, has selected Norwegian Data Analytics specialist Arundo as its partner for a breakthrough development in the Predictive Maintenance of industrial plant. Dietsmann operates and maintains Oil & Gas and Power plants for major national and international energy companies in over 20 countries. The company has successfully pioneered Predictive Maintenance as a way to maximise output, save costs and achieve more sustainable performance by improving energy efficiency and reducing emissions.

Arundo’s advanced machine learning and data analytics software ‘Marathon’ will be utilised to provide accurate and timely warnings of imminent equipment failures. Avoiding unplanned downtime increases asset availability, extends equipment lifetime and reduces maintenance costs. Improved planning and execution of maintenance activities also lead to more sustainable operation of industrial installations.

Strategic Partnership

Dietsmann sees its alliance with Arundo as a strategic partnership to enrich its services with an Integrated Predictive Maintenance software solution. Arundo’s Marathon delivers continuous analytics and failure prediction models, on premise or in the cloud, through a user-friendly interface tailored to the operator’s needs. Dietsmann considers anomaly detection and failure prediction crucial to substantially optimise operations and avoid costly standstills, and to prevent safety and environmental risks.

The collaboration between Dietsmann Smart Labs and Arundo is an important step forward. Dietsmann’s experts present on local sites will be able to read and translate Marathon’s insights into technical recommendations and actions, potentially saving their clients millions of dollars for each incident predicted and prevented.

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