Integrating domain knowledge with machine learning to optimize electrical submersible pump performance

A method for monitoring operation or status of an electrical submersible pump (ESP), the method comprising:

• a) collecting historical time-series data related to operation of a target ESP;
• b) extracting historical time-series data related to healthy operation of the target ESP from the historical time-series data of a);
• c) extracting feature data from the historical time-series data extracted in b);
• d) extracting or calculating values of at least one key performance indicator (KPI) related to healthy operation of the target ESP from the historical times-series data extracted in b), the at least one KPI being specific to the target ESP;
• e) using the feature data of c) and the values of at least one KPI of d) to train a machine learning (ML) model to predict at least one target KPI related to healthy operation of the target ESP given the feature data as input;
• and
• f) using the ML model trained in e) to monitor operation or status of the target ESP.