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

Abstract

A method for monitoring operation or status of an electrical submersible pump (ESP) is provided, which includes a) collecting historical time-series data related to ESP operation; b) extracting historical time-series data related to healthy ESP operation 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 ESP operation from the historical times-series data extracted in b); c) 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 ESP operation given feature data as input; and f) using the ML model trained in c) to monitor operation or status of the ESP. Other aspects are described and claimed.