A primary reason for the performance gap is the operational complexities in production and processing facilities. Control room operations of an offshore platform must analyze humongous amounts of data generated by as many as 30,000 sensors and also consider external factors that influence the production including temperature, humidity and wave heights.

Advanced analytics powered by machine learning leverage statistical methods to analyze highly complex and copious amounts of data and find patterns. These patterns can then be used to build algorithms which analyze the factors critical to production, efficiency and quality, alert operators about potential scenarios in the future that can impact rig operations, and enable them to respond in time. Advanced analytics is used to identify bottlenecks and suggest prescriptive actions essential for smooth operating conditions.