Usage of predictive analytics has enabled O&G companies to create simulations that predict maintenance events.
Predictive maintenance can be applied to improve the reliability of the gas compression system – a critical component at many offshore platforms that leads to large losses during downtimes. Algorithms can be used to predict failures in a gas compressor train with more than 70% accuracy and increase production.
Predictive maintenance reduces the costs of unforeseen reactive maintenance and downtimes. In the long run, these predictions helps companies stay one step ahead by optimizing the downtimes for large-scale maintenance projects.
Another application is reducing unplanned downtime due to failures in critical equipment
High
Regression analysis, Ranked scoring, real-time analysis and prediction
Historical Records, documenting failures, maintenance logs, real -time data
Real-time streaming data from rigs can be compared with historical drilling to help predict and prevent problems and better understand operation risks.
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