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 env create -n seisplot -f environment.yml conda activate seisplot
If you prefer to use obspy
instead of segyio
for SEG-Y reading, you can then do:
conda install -c conda-forge obspy
You can see what the thing does with:
./seisplot.py --demo
Edit config.yml
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.yml
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.yml --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.
- Uses
segyio
by default;obspy
is still an option. - The ability to plot from 3D seismic, including 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 colourbar for variable density plots.
- A highlight colour, applied to the histogram, spectrum, titles, and intersection lines.
Made with love and silliness by Evan and Matt at Agile