welly facilitates the loading, processing, and analysis of subsurface wells and well data, such as striplogs, formation tops, well log curves, and synthetic seismograms.
Installation
pip install welly
For developers, there are pip options for installing test, docs or dev (docs plus test) dependencies.
Quick start
from welly import Well, Project
w = Well.from_las('my_wells/my_well.las') # Load a single well.
p = Project.from_las('my_wells/*.las') # Load lots of wells.
gr = w.data['GR'] # One log; this is a subclassed NumPy array...
gr.plot() # ...with some superpowers!
Next, check out the tutorial notebooks.
Documentation
The welly documentation is a work in progress.
Contributing
Please see CONTRIBUTING.md.
Philosophy
The lasio project provides a very nice way to read and
write CWLS Log ASCII Standard files. The result is an object that contains all the LAS data — it's more or less analogous to the LAS file.
Sometimes we want a higher-level object, for example to contain methods that have nothing to do
with LAS files. We may want to handle other well data, such as deviation surveys, tops (aka picks),
engineering data, striplogs, synthetics, and so on. This is where welly comes in.
welly uses lasio for data I/O, but hides much of it from the user. We recommend you look at
both projects before deciding if you need the 'well-level' functionality that welly provides.
2 maintainers
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