• APM to Improve Reliability and Availability of RasGas Assets

Challenge:

RasGas is one of the worlds’ premier integrated liquefied natural gas (LNG) enterprises that transformed a regional resource into a key component of the global energy mix. RasGas is a Qatari joint stock company with more than 3,000 employees, owned by Qatar Petroleum (70%) and ExxonMobil (30%). Qatar remains the largest LNG exporter, providing 77 MTA to the market, which is roughly one-third of global supply. The LNG production at RasGas in Ras Laffan, Qatar, consists of seven LNG production trains with an approximate capacity of 37MM Tons a year. RasGas is focused on cost and value optimization to reduce overall expenditures and enhance efficiency by improving plant reliability and availability without compromising safety, health and the environment.

 

The Solution:

The initiative at RasGas began in late 2014 with a pilot for early detection of equipment or system failures and production optimization for selected units of three (3) LNG trains. This covered GE & non-GE equipment with GE’s Asset Performance Management (APM) solution, built on the Predix cloud platform, using machine data sensors, predictive analytics and process optimization. GE’s APM solution empowers RasGas with asset anomaly detection through a unified user experience covering both GE and non-GE assets, providing alerts, alarms, historical analysis with the visibility into asset performance and health. The intention of RasGas’s APM analytic solution was to reduce unplanned downtime, improve productivity and reliability,and to move from reactive to predictive maintenance for rapid recovery.

 

Results:

The GE team worked closely with the RasGas team to develop and identify opportunities for a pilot project to detect early failures and production optimization initiatives by leveraging a consolidated store of collected machine sensor data, analytic software and a platform that provides a plant-wide view. By mid 2015, the pilot project had demonstrated intially that early failures and process optimization opportunities can be detected with the use of analytics with the ability to identify areas to optimize and reduce waste.

 

Way Forward:

GE’s APM solution is expected to cover the entire plant by monitoring and connecting 2,300+ assets with over 65,000 GE and non-GE devices.

 

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