Abstract
Electrical submersible pump (ESP) technology is the first choice of artificial lift for the operators both in offshore and onshore to increase the rate of production in all types of reservoirs. Even though, the ESP was designed, engineered and fabricated to withstand in harsh subsurface natural and man-made environment such as corrosion, high temperature and extreme pressure but it fails under these circumstances without any prerequisite signal. Even the monitoring systems in place failed to notify the failure of ESP. These ESP failures cut off the production and revenue circulation in the firm. The cost required for the repair and replacement of the ESP is also high and is time consuming. The prevention of ESP failures using machine learning technique is discussed.
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