Automated beam pump diagnostics using surface dynacard

A system, comprising:

• one or more sensors coupled to a beam pump unit, wherein the one or more sensors are configured to measure sensor data representing a position of and a load on the beam pump unit during operation thereof;
• one or more processors in communication with the sensor;
• and
• a memory system comprising one or more non-transitory, computer-readable media storing instructions that, when executed by at least one of the one or more processors, cause the system to perform operations, the operations comprising:
• receiving the sensor data from the sensor;
• generating a surface dynacard based on the sensor data;
• predicting a source of inefficiency in the beam pump unit based at least in part on the surface dynacard using a machine learning algorithm;
• and
• identifying one or more corrective actions to take to address the source of inefficiency.

A non-transitory, computer-readable medium storing instructions that, when executed by at least one processor of a computing system, cause the computing system to perform operations, the operations comprising:

• receiving sensor data representing a position of and a load on a beam pump unit, using a sensor coupled to the beam pump unit;
• generating a surface dynacard based on the sensor data;
• predicting a source of inefficiency in the beam pump unit based at least in part on the surface dynacard using a machine learning algorithm;
• and
• identifying one or more corrective actions to take to address the source of inefficiency.