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Discover the Power of Digital Across the Electricity Value Network (EVN) Customer Stories
Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Oil & Gas
Applicable Functions
- Discrete Manufacturing
- Maintenance
Use Cases
- Predictive Maintenance
- Process Control & Optimization
Services
- Cloud Planning, Design & Implementation Services
The Challenge
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.
About The Customer
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.
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 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.
Operational Impact
Quantitative Benefit
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