This video tutorial shows you how to use history match plot types in Tecplot RS. The history match tool gives you a way to quantify your history match results.
When you are running multiple simulation runs, you may want to wait to determine which simulation best matches the history data. Today, we have ways in which to obtain the qualitative comparisons. The history match plot in Tecplot RS gives you the ability to compare data sets in a quantitative manner.
History Match Plot Types
To use the history match plot type, after you’ve loaded your XY data into Tecplot RS, choose History Match from the Plot Type menu in the sidebar. There are two different ways in which to compare your datasets.
The first is multi-well mode. You can see how the comparison data differs from the history data for a specific date, comparing well by well.
The second is one-well mode. Tecplot RS shows you how the comparison data differs from the history data throughout time from one well.
I will demonstrate how to use this capability in the one-well mode. You can see three different frames that show three different comparisons. First, is the raw data, second, is the deviation data, and third is the deviation distribution. The red line represents the baseline set which is typically the history data. The blue and green lines represent the comparison data sets.
To briefly summarize the plots, the raw data plot is your standard plot with all three datasets on one graph. The deviation data plot shows the difference between the baseline and the comparison datasets.
From the deviation distribution plot, you can read that all the points form the second dataset deviate negatively from the baseline. Also, all the points from the third dataset deviate positively from the baseline. On the left-hand side are controls for choosing which well you want to view. There are also controls for choosing which variable to inspect. I’m going to keep these set to the default for this example.
Comparing Multiple Datasets
You can compare against multiple datasets. To highlight multiple files, simply press shift and the left mouse button and highlight the desired datasets.
Finally, you can set a desired deviation band. A deviation band is the maximum error allowed when the loaded dataset is compared against the baseline. For example, let’s set a deviation band of 30. This determines what percentage of points for this specific well are plus or minus 30 stop-tank-barrels from the baseline. You can see that 35% of the points of the third data set and 55% of the points of the second data set lie within that range. To get rid of the deviation band, simply press zero in the box and press enter. You could also normalize the distribution.