New Wave Media

May 7, 2013

GE Introduces Subsea Leak Detection and Multi-Domain Condition Monitoring

GE’s Measurement and Control business announced two innovative condition monitoring and sensing solutions for the subsea sector: the Acoustic Leak Detection System and the Subsea Multi-Domain Condition Monitoring System. Representing the first products resulting from GE’s acquisition of Naxys in 2012, these solutions allow oil and gas operators to monitor the integrity of their subsea installations.

Acoustic Leak Detection System (ALD)
GE’s new Acoustic Leak Detection System uses passive, acoustic hydrophone technology to detect and locate subsea oil and gas leaks by discriminating the noise of a leak from other sources of sound. Developed from naval military technology, the sensing system enables extremely sensitive and accurate measurement of subsea acoustics and can be used to detect “silent” leaks that occur when there is low flow rate or low differential pressure. GE’s ALD is the leading ISO-qualified technology for permanent (25 years) deployment available today that can detect both crude oil and gas with sufficient sensitivity while providing wide area coverage of up to 500 meters.

Subsea Multi-Domain Condition Monitoring
GE’s Subsea Multi-Domain Condition Monitoring System combines electric emission monitoring and acoustic hydrophones specially designed for monitoring the operating condition of subsea machinery and processes—from pumps and valves to supporting infrastructure. Typically combined with ALD to detect subsea leakage, the system performs multi-domain analysis supported by proven pattern recognition and machine learning algorithms to identify and display subsea structure, machine and pipeline activities and anomalies.

At OTC 2013, GE will showcase its live Naxys Acoustic Booth alongside its ALD System model. Witness the “ears” of tomorrow’s subsea facility, which can hear and detect external conditions, including leaks, cracks and vibrations, to support ongoing productivity and safety.

www.ge-mcs.com

oil and gas operatorsCrude oilmachine learning
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