welly

name	welly
description	Subsurface well data analysis toolkit for loading, processing, and analyzing well logs, projects, and formation tops. Built on lasio with enhanced curve processing. Use when Claude needs to: (1) Load wells from LAS files with metadata, (2) Work with multi-well Projects, (3) Process curves (despike, smooth, resample, normalize), (4) Manage formation tops, (5) Export well data to DataFrame/LAS/CSV, (6) Perform cross-well analysis and QC.
version	1.0.0
author	Geoscience Skills
license	MIT
tags	["Well Logs","Petrophysics","Data Analysis","Multi-Well","Welly","LAS","Formation Tops","Curve Processing"]
dependencies	["welly>=0.5.0","lasio"]
complements	["lasio","dlisio","petropy","striplog","pyvista"]
workflow_role	processing

welly - Well Data Analysis

Quick Reference

from welly import Well, Project

# Load single well
w = Well.from_las('well.las')

# Access data
df = w.df()                      # DataFrame
gr = w.data['GR']                # Curve object
values = gr.values               # numpy array
depth = gr.basis                 # depth array

# Well info
print(w.name, w.uwi)
print(w.data.keys())             # Available curves

# Load multiple wells
p = Project.from_las('wells/*.las')
for well in p:
    print(well.name)

Key Classes

Class	Purpose
Well	Single well with curves, location, tops
Project	Collection of wells for multi-well workflows
Curve	Log curve with depth basis, units, and processing methods

Essential Operations

Access Curve Data

gr = w.data['GR']
print(gr.mnemonic, gr.units)     # Metadata
print(gr.start, gr.stop, gr.step)  # Depth range

Process Curves

gr = w.data['GR']

# Clean and filter
gr_clean = gr.despike(window=5, z=2)
gr_smooth = gr.smooth(window=11)

# Transform
gr_norm = gr.normalize()         # 0-1 range
gr_resampled = gr.resample(step=)
gr_clipped = gr.clip(top=, bottom=)