Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium for run data based on operation of a facility. A method includes: analyzing tickets identifying modification of a plurality of equipment installed and configured at the facility, wherein a ticket identifies at least one of an installation of a first equipment, removal of the first equipment, or testing of the first equipment; generating a plurality of runs based on the tickets, wherein each run of the plurality of runs identifies an equipment configuration, a start time, and an end time; and mapping measurement data from the equipment based on the equipment configuration of the run into time series data.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium for calibrating data in reliability reports from a facility. A method includes: receiving a reliability report and extracting information related to operation of equipment at a facility; extracting name information associated with the facility from the reliability report; determining a full name of the facility based on the partial name; and training a machine learning model to identify conditions for equipment disposed in a well environment based on the reliability report, the unique identifier, and the full name of the facility.

Abstract: A computer-implemented method for monitoring an electrical submersible pump (ESP) disposed in a wellbore. The method comprises obtaining ESP data from the ESP. The method comprises generating an alarm based on the ESP data. The method comprises performing the following after the alarm is generated, inputting the ESP data into a trained machine learning model and determining, with the trained machine learning model, an incident class based on the ESP data.