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      Electrical Submersible Pump Monitoring Package

      Monitor electrical submersible pump (ESP) parameters and create tag entries if unfavorable conditions are detected

      Usage and Configuration

      To perform the calculations run the workflows from this package starting with the workflow ESP Monitoring. The schedules may be adapted to use different contexts.

      Follow the steps given in How do I configure packages pulled from Datagration's package repository to change the configuration of the package.

      Use the workspace value DataLoadOffsetDays to configure the end of the scopes Start To Date Daily and Start To Date Monthly.

      E.g. If the data in the data sources is lagging one day, set the workspace value to 1 to account for this offset.

      Use the workspace value EspMonitoringForecastScenario to specify the scenario from which forecast data will be retrieved.

      If there is no pump outlet pressure available set the workspace value PumpOutletPressureIsAvailable to FALSE. This will prompt the workflow to estimate the pump outlet pressure using the custom activity EstimateBottomholePressure.

      Details

      Estimate Bottomhole Pressure

      This custom activity calculates the pump outlet pressure, in case the signal is not available for the user. This activity is only executed if the workspace value PumpOutletPressureIsAvailable is set to FALSE. In case the value is TRUE, the workflow will skip this step.

      ESP Downhole Calculations

      This script performs a number of calculations at the pump level and saves output signals to be used in the rest of the ESP Monitoring workflow.

      ESP Efficiencies

      This script calculates the system-, motor-, cable-, and surface equipment efficiencies and creates tag entries if they fall below user defined thresholds.

      The following tag entries are created:

      Low System Efficiency
      Low Pump Efficiency
      Low Motor Efficiency
      Low Cable Efficiency
      Low Surface Efficiency

      ESP Head Derating Factor

      This script generates tag entries of the tag Head Derating Violation if the head derating factor exceeds a user defined threshold for a user defined number of times in a predefined time window.

       

      ESP Problem Detection

      The logic tries to detect a number of events or problems related to ESP operation. This is based on how the different measurements or signals are changing with time: increasing, decreasing, or stable, within a user-defined time window. Each event is given a normalized score [0, 1] that reflects how strong its symptoms are, hence the likelihood that this event is taking place.
      Detected events are:
      Worn Pump ( worn pump score)
      Plugged Intake ( plugged intake score)
      Tubing Leak ( tubing leak score)
      Gas Interference ( gas interference score)
      Viscous Fluid ( viscous fluid score)

      ESP Surveillance By Exception

      This script creates tag entries for the following tags based on the thresholds presented in [1]:

      Current Overload
      Current Underload
      Overvoltage
      Undervoltage
      High Tubing Head Pressure
      High Flow Line Pressure
      Low Pump Intake Pressure
      Pump Motor Temperature Violation
      Pump Operating Range Violation

      ESP Well Ranking

      This script calculates an esp performance score based on oil variance, system efficiency, and head derating factor. Moreover it calculates an esp failure score based on detected problems and predictions from ML models.

      Data Requirements

      The following data is required:

      api gravity oil
      downhole current
      flowline pressure
      gas oil ratio
      gas specific gravity
      generator power
      motor frequency
      motor temperature
      motor voltage
      number of pump stages
      oil production rate
      oil production rate forecast
       pump intake pressure
      pump intake temperature
      pump model
      pump outlet pressure
      pump setting depth
      tubing inner diameter
      water production rate
      water specific gravity
      well head pressure

      References

      [1] Awaid, A., Al-Muqbali, H., Al-Bimani, A., Al-Yazeedi, Z., Al-Sukaity, H., Al-Harthy, K., &
            Baillie, A. (2014, January). ESP Well Surveillance using Pattern Recognition Analysis, Oil
            Wells, Petroleum Development Oman. In IPTC 2014: International Petroleum Technology
            Conference       (pp. cp-395). European Association of Geoscientists & Engineers.