ResInsight can create contour maps based on different forms of aggregation of 3D Eclipse data onto a 2D Plane. Any 3D result value can be aggregated, in addition to specialised results, such as oil, gas and hydrocarbon columns. A Contour Map is a specialised 2D view with many of the same features as the 3D views, including property filters, range filters and display of faults and wells.
To export a contour map, invoke one of the following options (c.f. figure above):
This initiates the following dialog for export options:
As seen, the dialog facilitates the following options:
The file format for export of contour maps supports use of Python and numpy. For instance, an exported file may can be imported into numpy using the loadtxt() function.
Metadata is included as comments in the beginning of the file. The character # as first character denotes a comment line.
If local coordinates are exported, the UTM coordinate offset is included as a comment in the header of the export file (c.f. example file below). To anonymize the data, the UTM coordinate offset may be removed from file.
# case name : 1_R001_REEK-0 # sampling points : nx=90 ny=100 # time and date : 01.Jan 2000 # property name : Arithmetic Mean, PRESSURE # UTM offset : x=456256 y=5.92663e+06 x y value 5209.20099 254.10737 341.09308 5336.25467 254.10737 341.13252 5463.30835 254.10737 341.36091 5590.36204 254.10737 341.62615 5717.41572 254.10737 341.70246 5082.14731 381.16105 340.56455 5209.20099 381.16105 340.79087 5336.25467 381.16105 341.02580 5463.30835 381.16105 341.40061 5590.36204 381.16105 341.86177 5717.41572 381.16105 342.34527 ... ... ...
The ResInsight Python API allows the user to access all contour maps belonging to a project. A Python script for exporting contour maps to a text file is included as one of the examples of the ResInsight Python API.