GE Digital (GE) (General Electric) Case Studies Discover the Power of Digital Across the Electricity Value Network (EVN) Customer Stories
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Discover the Power of Digital Across the Electricity Value Network (EVN) Customer Stories

GE Digital (GE) (General Electric)
Analytics & Modeling - Predictive Analytics
Platform as a Service (PaaS) - Data Management Platforms
Oil & Gas
Maintenance
Discrete Manufacturing
Predictive Maintenance
Process Control & Optimization
Cloud Planning, Design & Implementation Services
RasGas, a Qatari joint stock company owned by Qatar Petroleum and ExxonMobil, is one of the world's premier integrated liquefied natural gas (LNG) enterprises. The company 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 LNG production at RasGas in Ras Laffan, Qatar, consists of seven LNG production trains with an approximate capacity of 37MM Tons a year. The company began an initiative in late 2014 with a pilot for early detection of equipment or system failures and production optimization for selected units of three LNG trains.
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RasGas is a Qatari joint stock company that is one of the world's premier integrated liquefied natural gas (LNG) enterprises. The company is owned by Qatar Petroleum (70%) and ExxonMobil (30%), and it employs more than 3,000 people. RasGas is responsible for transforming a regional resource into a key component of the global energy mix. The company's LNG production in Ras Laffan, Qatar, consists of seven LNG production trains with an approximate capacity of 37MM Tons a year. Qatar remains the largest LNG exporter, providing 77 MTA to the market, which is roughly one-third of the global supply.
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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 LNG trains. This covered both GE and 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, providing alerts, alarms, historical analysis with 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.
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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 mid 2015, the pilot project had demonstrated initially 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.
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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