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Join Flowserve at the Machine Learning in Oil & Gas Conference Show in Houston

2019 Machine Learning in Oil & Gas Conference
April 17–18 in Houston
JW Marriott Houston (Liberty Hall)
Presentation by Aric Zurek
Thursday, April 18

When it comes to manufacturing and servicing flow control equipment, Flowserve has always been the industry leader. Now we’re again taking the lead — by creating new technologies to collect and analyze rotating equipment data and turn it into clear insights which oil and gas companies can act on to make their operations safer, more efficient and more profitable.

These days just about anyone can collect operational data and tell you how your pumps are performing. But Flowserve’s new offering interprets the overwhelming amount of complex equipment performance data and turns it into useful information to detect, diagnose, repair and predict a failure before it happens.

Flowserve’s new asset health management program enables plant reliability engineers, operators and maintenance personnel to know when their equipment will fail, why it will fail, and what they can do to prevent it. We deliver this through our extensive rotating equipment design and manufacturing expertise — combined with innovative equipment sensors, software, signal communication, analytics, cloud storage and remote monitoring technologies.

When plants stop poring over terabytes of data and instead choose to see what really matters, the impossible becomes possible. With Flowserve, the unknowable is now at your fingertips.

Learn about Flowserve’s advanced predictive analytics tools

Aric Zurek, Flowserve’s director of aftermarket products & services, will lead a discussion to explore the real-world benefits predictive analytics tools can provide oil and gas companies.

The session, which will be in a case study/panel format, will explore how oil and gas companies can detect, diagnose, repair and predict critical equipment failures before they lead to crippling downtime.

Flowserve presentation:
Aric Zurek
Deploying IoT & predictive analytics to improve system reliability & performance
Thursday, April 18