Blueback Investigator Quick Guide

Investigator plotting windows

The Blueback investigator uses 6 plotting windows for plotting and analyzing the data

Parallel coordinates plot

Investigator plotting windows – displaying data

The plotting windows can be opened through the Petrel windows ribbons button

An easier option is to RMB on the specific investigation object in the input pane and select the plotting window from the context menu.

Investigator plotting windows – control panel

The control panel located in the left-hand side of all the plotting windows gives the user easy access to manipulate and adjust the plot

Color by dimensions or data set

Control filters and classification regions

Control point size by dimensions

Filter on data sets or data subsets, e.g. wells

Filter in classification regions

Control regressions

Filter on discrete classes from discrete dimensions

Control annotations

Investigator plotting windows – axes data

The investigation contains multiple variables. In the plots it is easy to control what dimension to display on the different axes. Use the “Set axis data” buttons in the toolbar or RMB on the axis data label in the plot to change dimension.

“Set left axis data” button from toolbar

Axes settings can also be accesses by RMB on the axis

Axes units and decimal places can be controlled from RMB on the axis

RMB on y-axis label to set dimension

Multiple dimensions

Display controls

Split by discrete parameter

Bar chart options

Cumulative distribution functions

Split by discrete parameter

Axes data histogram display settings

Show/hide filtered data

Data style settings

Quick display of 2D cross-plots for all continuous dimensions in the investigation

Statistics and correlation matrix control

Show dimension data

Split by discrete parameter

Deselect minimum cross-plot size

The matrix plot will automatically include the first five dimensions in the plot. To add or remove dimensions, use the ”Show dimension data” drop down

The horizontal position of each dimensions can be controlled by dragging the label

The correlation matrix can be split by discrete classes

RMB on a point, select ”Show as point density” to color plots by point density

Parallel coordinates plot

Each dimension is displayed on a vertical axis and the individual samples are connected by lines

Parallel lines between dimension samples indicated a correlation between the dimensions

The horizontal position of each dimensions can be controlled by dragging the label

When rotational dimensions (e.g. dip, azimuth) are added to the investigation and plotted in a 2D cross-plot, histogram window and matrix plot, the plots will be presented as angular plots

Fault azimuth in histogram plot

Permeability vs fault azimuth in 2D cross-plot

Investigation data set plotting style can be manipulated from the investigator “Data style” tab. Points, window and axes style controls can also be accessed directly from the context menu from RMB on items in the plots

Manipulated Investigator cross-plot

Manipulate window and label settings

Manipulate point color, symbol and size

Manipulate axes settings

Discrete plots by …

All plots except the 3D cross-plot has an option to split the plots by discrete parameters, either discrete dimension classes or data sets, if more than one data set is added to the investigation

Multi data set histogram split by Zone Dimension

Por-perm cross plot split by facies dimension