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Jacob Støren 2013-10-24 08:48:53 +02:00
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Documentation/UsersGuide/CaseGroupsAndStatistics.md
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@ -37,7 +37,10 @@ To reduce the number of views, only a view for the first case is created automat
*TIP:* To reduce memory usage, project loading time etc. it is vise to delete the 3D Views you do not need. 3D Views use a lot of system resources.
### Statistics ##
After creating a grid case group, an empty **Statistics Case** is created for you in the **Derived Statistics** folder of the **Grid Case Group**. The properties of an uncalculated and a calculated **Statistics Case** is shown below:
After creating a grid case group, an empty **Statistics Case** is created for you in the **Derived Statistics** folder of the **Grid Case Group**.
#### Setting up and Calculate
The properties of an uncalculated and a calculated **Statistics Case** is shown below:
![](images/StatisticsCaseProperties.png) ![](images/StatisticsCasePropertiesCalculated.png)
@ -48,17 +51,17 @@ After creating a grid case group, an empty **Statistics Case** is created for yo
- **Percentile Setup**: Selects wether to calculate percentiles, what method and what percentile levels should be used. Turning this off speeds up the calculations.
- **Well Data Source Case**: This option selects which set of **Simulation Wells** to be shown along with the statistical results. You can select one of the **Source Cases**.
##### Percentile Methods
Three Percentile methods are implemented:
- **Interpolated Observation**
The values are sorted, and the two observations representing the probabilities closest to the percentile are interpolated to find the value for the percentile. This is the default method.
- **Nearest Observation**
The values are sorted, and the first observation representing a probability higher or equal to the percentile probability is selected as the value for the percentile. This method is by some considered to be statistically more puristic.
- **Histogram based estimate**
A histogram is created and the percentile is calculated based on the histogram. This method will be faster when having a large number of realisations, because no value sorting is involved. You would however need several hundred realisations before this method should be considered.
>##### Percentile Methods
>
>Three Percentile methods are implemented:
>
>- **Interpolated Observation**
>The values are sorted, and the two observations representing the probabilities closest to the percentile are interpolated to find the value for the percentile. This is the default method.
>- **Nearest Observation**
>The values are sorted, and the first observation representing a probability higher or equal to the percentile probability is selected as the value for the percentile. This method is by some considered to be statistically more puristic.
>- **Histogram based estimate**
>A histogram is created and the percentile is calculated based on the histogram. This method will be faster when having a large number of realisations, because no value sorting is involved. You would however need several hundred realisations before this method should be considered.
>
#### Viewing the results
When the computation is complete, you have to create a 3D View on the **Statistics Case** to view the results. Use the Context menu available by right clicking the **Statistics Case** to create it.