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Real-Time  Trends

Real-Time Dashboard is divided into two parts: Single Axis and Multi-axis views, providing detailed dynamic data trends visualization for different operational parameters.  It also includes both manual and automated annotations, such as setpoint change events, shutdown reasons, and user-entered notes, providing comprehensive view of the system performance and operational history.
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Operational Condition 

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​At the top of the Dashboard you will find the well header information, whit the most relevant data defining the well and the type of ESP pump that is currently installed. Key parameters to mention are:
 

  1. Total Number of ESP wells. â€‹

  2. ESP Manufacturer

  3. ESP Type

  4. Sum of all pump stages including tapered pumps

  5. Pump operation within the pump performance curve obtained from the well health check, defined as follows:
    In Range: the pump is operating within the pump maximum and minimum limits, ensuring efficiency and reliability.
    - Upthrust: Indicates the pump is operating above maximum allowed limit, causing mechanical stress, and potential damage.
    - Downthrust: Indicates that the pump is operating below its minimum operational limit, leading to increased pressure.
     

  6. Head Deterioration: Indicates the loss of pump lifting capacity due to deterioration, shown in low, medium, or high, with percentage of deterioration. This deterioration value could be realated to gas ingested by the pump, mechanical issue or others, Its important to note that the deterioration level is considering an average of the last 10 days.

Wellheaders

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  1. Filters: The filters at the top of the dashboard enable users to refine the data they are viewing by applying specific criteria. These filters are customized in collaboration with the operator before they are configured to ensure they meet operational needs. Below is a sample breakdown of each available filter:​
    Engineer
    Foreman
    Area
    District
    Lease
    Zone
    Well
     

  2. Setpoints: Allows for the visualization of setpoint changes as annotations through vertical "yellow" doted lines within the Frequency trends panel.

  3. Scale: Helps to automatically reduce the impact of data swings by zooming in or out of the data in intervals of 1, 50, 100, and 500. This can help reduce the visual effect of short-term volatility while emphasizing the long-term trends.

Events

This section records all the significant events related to the ESP, including changes such as setpoints, shutdown events, etc.. Each setpoint event is timestamped and identifies the user responsible for the modification.

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Time Filter

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  1. Time picker dropdown: Click to select relative time range options and set custom absolute time ranges, users can change the Timezone and year settings from the time range controls by clicking the change time settings button. Time settings are saved on a per-dashboard basis.
    The current time range, also called the time picker, shows the time range currently displayed in the dashboard or panel you are viewing. Hover your cursor over the field to see the exact time stamps in the range and their source (such as the local browser).
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    Click the current time range to change it. You can change the current time using a relative time range, such as the last 15 minutes, or an absolute time range.
     

  2. Zoom out time range

  3. Manual Refresh dashboard. F5 on your keyboard can also be used to refresh dashboard

  4. Auto-Refresh:  Enerview typically polls data every minute, however, a user can set for a dashboard to automatically refresh at specified intervals, such as every 5 or 10 minutes.​​

Single Axis

Single-axis view  provides a detailed breakdown of equipment status and trends allowing users to monitor variables like frequency, motor current,  casing pressure, etc.  It is ideal for isolating specific parameters for in-depth analysis.

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Multi Axis

This mode offers a broader view, showing multiple axes of data simultaneously, such as motor current, fluid temperature, and pressure. It allows users to compare different variables to identify performance trends or issues across various equipment metrics.

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Annotation History

A log of all annotations made by users during their evaluation of the system, offering an accessible reference for past observations or decisions.

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© 2024 by Enerview

© 2024 by Enerview

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