TotalDepth Example Outputs

This shows some examples of the kind of thing that TotalDepth can do.

Wireline Plots

TotalDepth produced these time honoured plots from LIS and LAS wireline logs in SVG format that can be viewed in most browsers [1].

Plotting from LIS

Some examples of plots generated from LIS79 files:

• A collection of 9 LIS files where TotalDepth used their internal plot specifications to generate 22 separate plots.
• A High Resolution Dipmeter plot on a scale of 1:25 with an API header. Fast channel FC0 (red) overlaid on FC1.

Plotting From LAS

This shows off some examples of plots generated from the Canadian Well Logging Society’s LAS formated files [2].

Single LAS Plot examples

This shows plots of a single LAS file that has 200 feet of 15 curves. TotalDepth can plot this with, linear and log scales and with an API header:

• Plotted with the Resistivity 3Track Logrithmic format.
• The same data plotted with the Triple Combo format.

The original LAS file is here.

A Collection of LAS Plots

Here is a directory of six LAS files that was used to make 31 individual plots complete with an index that summarises them. For each LAS file the plotting program automatically choose from 29 plot formats the formats that produce useful plots [3].

Making LAS Plots

The PlotLogs.py command line tool was used with the command:

$ python3 PlotLogs.py -A -j4 -r -X 4 Data/ Plot/

This searched for LAS files in directory Data/ with the plots being written in directory Plot/.

The following options have been set:

• API headers on the top of each plot: -A
• Multiprocessing on with 4 simultaneous jobs: -j4
• Recursive search of input directory: -r
• Uses any available plot specifications from LgFormat XML files which result in 4 curves or more being plotted: -X 4

This took around six seconds to compute. More detail on the PlotLogs.py is here: PlotLogs.py

LIS Log HTML Summaries

The program LisToHtml.py takes LIS file(s) and generates an HTML summary for each one.

How This HTML was Made

The LisToHtml.py command line tool was used with the command:

$ python3 LisToHtml.py -k -j4 -r Data/ HTML/

This searched for LAS files in directory Data/ with the files being written to directory HTML/.

The following options have been set:

• Keep going as far as possible: -k
• Multiprocessing on with 4 simultaneous jobs: -j4
• Recursive search of input directory: -r

More detail on the LisToHtml.py is here: LisToHtml.py

Footnotes

[1]	Probably the best SVG support among current browsers is Opera [opera.com].

[2]	Thanks to the University of Kansas [kgs.ku.edu] for the original data. For these examples that data has been edited or truncated or both.

[3]	A useful plot format is one that can handle at least n curves where n is a number that is specified by the user.