Comparison Plot

This module can be used to plot custom comparison plot for multiple analysis.
All the wells in the project can be plotted together for standardized reporting or analysis.
The data selected can be raw input or calculated in whitson⁺.

This module allows you to do the following-
1. Selecting or creating and editing custom plots.
2. Selecting wells to be included in the plot.
3. Plot Customization - Traces, Colors, Markers and Legends.
4. Saving plot and data.

You can create a multi-well comparison plot by navigating to the Comparison Plot module under Multi-well Analysis.

1. Main-Plot

The main plot is created by default. It is the traditional way of accessing the comparison plot.

You can still access the old templates.

If you want to create a new template-

We recommend the 'Add Plot' option instead. This is why we removed the ability to create new templates.
You don't need to rebuild your old templates as new plots; you can continue using them as they are. However, the 'Add Plot' option offers the advantage of saving both well selection and layout, whereas templates only save the layout.

2. Adding Plots

Click 'Add Plot' button located in the top right corner.

2.1 General Plot Settings

Overview

• Name: Specify a name for this new plot.

• Owners: By default, this is the person who created the plot, but more people can also be added as plot owners.

• Access Type: Select the type of access, which can be private (can only be viewed and edited by the plot owners) or company wide (accessible to everyone with access to the software within the company).

Groups

You can use pre-existing group tags to quickly identify and select the wells you want to include in your new plot.

Wells

To select the wells, you want to include in the new plot there are 3 options:

• Manual: Directly check the name of the wells that are shown in the well list.

• Search Wells and Scenarios: Type the name of the well or scenario and then click on the checkbox to select the well.

• Filter Well List: Allows you to filter wells based on different criteria.

2.2 Editing a Plot

Editing a plot allows you to adjust the five main components that define the plot -

1. Data to be plotted for each well (raw or calculated information for the well),
2. Axis scale (linear or logarithmic),
3. Axis location (left or right) and
4. Axis bounds (set manually or let the data decide).

2.3 Using Old Templates

If you have an old template that you want to use as the basis for the comparison plot, once you add a new comparison plot, your old template should be available as a suggestion on the top right 'Populate from Template', so you can always populate from there.

2.4 Customizing Layout and Design

To customize the layout and design, click 'Open Layout and Design' or Ctrl-click any plot line. You can then adjust line type, width, color, and marker fill and border.

There is an option to link the color for all the properties of a given well: line color, marker fill color and marker border color. Once linked, changing one color will automatically update the others. If not linked, you can adjust each color independently.

2.5 Modifying the Legend

Customize the legend by clicking 'Change Legend'.

You can select from the following options:

• Default: Shows the series name, well name, or scenario name for each data series. By unchecking this box, you can choose the specific option that best suits your needs.
  
• Truncate legend:
  
  • Truncate: Displays an abbreviated version of the legend.
    
  • Do not truncate: Displays the full legend.
    
  • Automatic: Automatic truncates the legend if 6 or more wells are plotted. Otherwise (less than 6 wells), legend is not truncated.

To remove the legend, click the 'Hide Legend' icon.

2.6 Adjusting Colors and Styles

Single Plot

You can tailor the colors of your data to your preferences using default, spread, or attribute-based schemes. Attribute-based schemes can be based on well data, reservoir properties, completion metrics, or custom attributes.

2x2 Plot

Additionally, for this type of plot, you have the option to maintain color harmony by synchronizing colors across all plots.

3. Customizing Plot Appearance

You can customize the axes title size, tick text size, legend size, legend location, grid lines and number notation clicking 'Customize Plot'.

4. Smoothing Data

Data smoothing can be applied to the plot by clicking the 'Smoothing' icon. You can choose to smooth individual data series (or wells) or all data simultaneously.

Click RESET to remove the smoothing applied to all data series.

5. Normalizing Data

Both axes can be normalized by various factors, including lateral length, inverse of lateral length, fluid pumped, proppant pumped, stages, clusters, spacing, bounded, vintage, TVD, spud date, rig release date, first production date, completion date, company, pi, tres, reservoir height, fracture height, porosity, number of fractures, initial water saturation, rock compressibility, matrix gamma, fracture gamma, and water salinity.

To normalize the Y-axis

1. Click Edit.
   
2. Layout & Design.
   

3. Normalization.
   

   
   

4. Select the normalization factor, add a multiplier, and optionally edit the series name.
   

   
   

5. Click Save.

To normalize the X-axis

1. Click Edit.
   
2. X-axis data.
   

3. Normalize by.
   

   
   

4. Select the normalization factor, add a multiplier, and optionally edit the series name.
   

   
   

5. Click Save.

The GIF below illustrates the procedure for normalizing both axes of the plot-

6. Aggregating Data

This feature generates one curve for each of the selected datasets by aggregating all the wells.

You can choose to aggregate data to view information at different levels of detail:

• All: Group data from all selected wells in the plot.
• Attribute: Group data based on specific attributes, such as company, pad name, or well trajectory.
• Group: Group data based on pre-defined groups, such as private or company-wide groups.

The aggregation method is automatically selected. Aggregate will sum by default for most series, except for pressure or any other property where the sum doesn't make sense. In these cases, the average will be used instead.

7. Copying a Plot

To copy a plot, navigate to the main comparison plot page. Locate the plot you wish to copy and click the three dots icon to the right of it. Select 'Copy plot' from the dropdown menu and provide a name for the new plot.

8. Helpful Hints and Hacks

8.1 Reversing the Axis Scale

Click in the min and max of the axis you want to reverse, and enter the desired values.

8.2 Maximum Number of Axes

You may have as many as 6 different y-axes, with the ability to plot multiple data traces over a single shared axis (such as casing and tubing head pressure). For the x-axis there can be only one for each plot.

8.3 Using Highlighting to elevate your Plot

The highlighting feature can be used in a plot to emphasize a specific time series while fading the others into the background.

To highlight (or unhighlight) a time series, simply left-click on it or select it from the well list. See gif bellow.

8.4 New Time Serie: Choke Normalized Rates

In well flowback analysis, choke-normalized rates are calculated to account for variations in choke settings, which affect the flow of oil and gas. Choke refers to the device that regulates the flow rate of the produced fluids by limiting the well’s open area. To achieve meaningful comparisons, oil production rates are often normalized to reflect both lateral length (which correlates with productivity) and choke size (which controls flow).

Instead of dividing production by the choke size directly, a choke area adjustment is used to better capture the impact of the choke setting on flow rate. This is based on the concept that a partially open choke restricts the flow exponentially rather than linearly:

$$\begin{equation} Choke Area=(\frac{Choke}{64})^{2} \end{equation}$$

This equation converts the choke setting to an effective area, acknowledging that, for example, a choke at half its diameter restricts flow to a quarter of its area, capturing the non-linear relationship between choke size and flow rate. By normalizing production rates by this choke area, combined with lateral length normalization, a more accurate reflection of production performance across wells is achieved, allowing for consistent time series comparisons.