Currently leading oil companies are facing the challenges which are associated with the supervisory control of sucker rod pump units (SRPU) due to the following negative factors: high labor efforts associated with the need to conduct periodical visual inspections of the pump jack technical condition and SRPU diagnostic tests using the dynamometer method; large number of single wells; imperfection of the automated system, low telemetry coverage; lack of information on the actual power consumption by SRPU. This article discusses the creation of algorithms for automatic detection of SRPU emergency operating modes based on active power data in the automated process control system (APCS) that don’t require additional capital investments. One of the advantages of this method is that the algorithms are processed by the APCS software rather than by the control station controller. Thus, there is no need for large-scale procurement and replacement of SRPU control stations or control station controllers. The main requirements for the APCS software include the capacity to upload active data arrays into tables and process active data arrays for example to define maximum and minimum values, their amplitude and average value, as well as the ability to visualize and notify users once any algorithm conditions are triggered.
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