Equipment downtime is a primary source of deferred production in the oil & gas industry. With the help of machine learning, computer vision, IoT, and advanced analytics, oil & gas companies can implement predictive asset maintenance and detect anomalies before they happen.
There are two different methods to predict anomalies:
SoftServe has solid experience in creating effective maintenance flows using both methods. They lead to an increase in production and reduced operating expenses. Download our one-pager to find out how you can accelerate anomaly detection with machine learning and artificial intelligence.GET YOUR ONE-PAGER
Set up a 1-on-1 meeting with us! We’ll explain how to apply machine learning to anomaly detection to measure risk, and predict equipment issues before they occur.
Apply AI and ML to decrease expenses on defect management, increase operational efficiency and employee safety, lower risk of human error, and reduce risk of oil and gas facility downtime.
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