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Import

ImageLog Import

GeoSlicer module for loading profile data in DLIS, LAS, and CSV, as described in the steps below:

  1. Select the well log file under Well Log File.

  2. Edit Null values list and add or remove values from the list of possible null values.

  3. Choose the desired profiles to be loaded into GeoSlicer, according to each option described below:

    • 1-D data should be loaded without selecting the “As Table“ and “LabelMap” options and are displayed as line graphs in the Image Log View. Open ImageLog Environment. On the right, a view (1) with data loaded from the 'GR/Gamma API' curve, selected on the left (2). The data was imported from a DLIS file (3).

    • 2-D data can be loaded as volumes, tables, or LabelMap in GeoSlicer, with each of the options detailed below:

      • Volume: This is the default GeoSlicer option, without checking 'As Table' and 'LabelMap', where the data is loaded as a volume and displayed as an image in the Image Log View. On the right, a view (1) with a *borehole image* loaded from the 'AMPEQ' curve, selected on the left (2). The data was imported from a DLIS file (3).
      • Tables: In this option, by checking the 'As Table' checkbox, the data is loaded as a table and is displayed as several histograms, as in the case of the t2_dist data in Figure 3 below: On the right, a view with NMR data (1), which was loaded from the T2_DIST curve (2), selected on the left, marked with the 'As Table' option (3). The data was imported from a DLIS file (4).
      • LabelMap: In this option, by checking the 'LabelMap' checkbox, assuming segmented data, it is loaded as a LabelMap and displayed as a segmented image. Segmented data (LabelMap) on the right (1), which was loaded by marking the column with 'LabelMap' (2). The data was loaded from a CSV file (3).

Formatting of files to be loaded

LAS

Sequential curves with mnemonics in the format mnemonic[number] will be grouped into 2-D data. For example, the mnemonics of an image with 200 columns:

AMP[0]
…
AMP[199]

The same file can contain both 1-D and 2-D data. In the following example, AMP is an image, while LMF1 and LMF2 are 1-D data:

AMP[0]
…
AMP[199]
LMF1
LMF2

CSV

For GeoSlicer to interpret CSV data as 2-D, the mnemonics simply need to be of the same name followed by an index in square brackets, as in the 1st example of the LAS section above (AMP[0], …, AMP[199]). Unlike the LAS case, the file must contain only 2-D data.