GE, Maersk Drilling to pilot analytic-driven project

Offshore staff

SAN FRANCISCO, CaliforniaGE and Maersk Drilling have formed a partnership to collaborate on a data analytic-driven pilot project with the aim to increase Maersk’s drilling vessels’ productivity and reduce maintenance costs by up to 20%.

The two companies have collaborated to deploy SeaStream Insight, GE’s marine asset performance management technology, powered by Predix.

The pilot project will be carried out on one of Maersk Drilling’s XLE rigs and will last for 12 months. Currently, the project has reached its first milestone, with data collected from the rig currently being processed and analyzed online.

Operational sensor data from critical equipment is connected to a historian, a specialized server that stores the data needed to model the blueprint of the drilling operation. By building this “digital twin,” the digital software can then help compare assets to assets and provide access to vessel performance against the ideal state. Big data is also translated into dashboards with a view of a vessel, with the aim of helping operators make more informed decisions.

Due to algorithms and data-processing capability, SeaStream Insight is said to be able to predict the future state of critical asset health, therefore spotting inefficiencies or detecting potential failure earlier, up to weeks ahead. Operators are given warnings designed to help mitigate potential problems in advance.

In addition to enhanced productivity, SeaStream Insight will also allow operators to maintain equipment in a more efficient manner, GE said. As the “predictivity” allows transition from prescriptive (calendar-based) to predictive maintenance, it says it can help reduce excessive maintenance and costs for Maersk Drilling.

Tim Schweikert, president and CEO of GE’s Marine Solutions said: “With the fast-paced changes of globally connected economies and shifting regional opportunities, marine operators need to transform themselves to be efficient, predictable, and nimble. Drawing critical insights from operational data is a crucial first step.

“With the present period of prolonged energy price instability, we believe data analytics tools provide the right technology that will help the industry going through current downcycle and maintain sustainable growth for the future.”


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