A utility for plotting SEG-Y files.

If you don't already have a reliable Python installation, and know how to wield it, I recommend downloading and installing Anaconda.

Get this repo with git or by downloading the ZIP file, and enter that directory.

Make and enter a virtual environment:

conda create -n seisplot --file package-list.txt
source activate seisplot

Install one more dependency, ObsPy:

conda config --add channels conda-forge
conda install obspy

Or, if you already have obspy, update it:

conda update obspy

./seisplot.py --demo

Edit config.yaml to meet your requirements.

Run the script from the command line, for example:

./seisplot.py </path/to/infile.sgy>

This will use the settings in config.yaml to make a PNG file in the same location, and with the same basic filename.

The input filename can be any POSIX path specifier, so *.sgy will find all files with that extension. to recursively descend in to directories, use ** like so: data/**/*.sgy. To match multiple file extensions, try *.[s,S]*[g,G][y,Y] or {*.segy}{*.sgy} (exact results may depend on your platform).

To use a specific config file with another name or location add the --config option. To specify the output filetype — use PDF or SVG for fully scalable vector graphics instead of a raster — add the --out parameter:

./seisplot.py </path/to/infile.segy> --config myconfig.yaml --out </path/to/result.pdf>

With --out you can specify an output file and seisplot will honour the filetype if the matplotlib backend you are using supports it. If you specify a directory, all the outout files will go there, using the SEG-Y file's name as the main part of the filename (for example, 31-08.sgy will give you 31-08.png in the output directory.

As in all things, stains are optional.

• The ability to plot from 3D seismic, inlcuding a dual inline/crossline plot, and a timeslice.
• An intersection line on dual inline/crossline displays for 3Ds.
• You can specify min and max time for the plot(s).
• Optional gridlines on the seismic plot.
• A highlight colour, applied to the histogram, spectrum, titles, and intersection lines.

Made with love and silliness by Evan and Matt at Agile