striplog

name	striplog
description	Create, visualize, and analyze lithological and stratigraphic logs for well data. Use when Claude needs to: (1) Create lithology columns from depth intervals, (2) Parse geological descriptions into structured logs, (3) Visualize stratigraphic columns with patterns and colors, (4) Perform well-to-well correlations, (5) Extract statistics like net-to-gross ratios, (6) Define rock type lexicons and legends, (7) Export lithology data to CSV/LAS/JSON.
version	1.0.0
author	Geoscience Skills
license	MIT
tags	["Lithology","Stratigraphy","Well Correlation","Visualization","Well Logs","Striplog","Net-to-Gross","Sedimentology"]
dependencies	["striplog>=0.9.0","matplotlib"]
complements	["lasio","welly","petropy"]
workflow_role	visualization

striplog - Lithological Logs

Quick Reference

from striplog import Striplog, Interval, Component

# Create from intervals
intervals = [
    Interval(top=0, base=10, components=[Component({'lithology': 'sandstone'})]),
    Interval(top=10, base=25, components=[Component({'lithology': 'shale'})]),
    Interval(top=25, base=40, components=[Component({'lithology': 'limestone'})]),
]
strip = Striplog(intervals)

# Load from file
strip = Striplog.from_csv('lithology.csv')  # Columns: top, base, lithology

# Access and display
print(strip)
strip.plot()
df = strip.to_dataframe()

Key Classes

Class	Purpose
Striplog	Main log container - holds intervals
Interval	Depth interval with top, base, and components
Component	Rock type definition with properties
Lexicon	Rock type dictionary with synonyms
Legend	Visualization styles (colors, patterns)

Essential Operations

Create from CSV

# CSV format: top,base,lithology
strip = Striplog.from_csv('lithology.csv')
strip.plot()

Create from Description Text

from striplog import Striplog, Lexicon

description = """
0.0 - 5.5 m: Fine to medium sandstone
5.5 - 12.0 m: Grey shale with silt laminations
12.0 - 18.5 m: Massive limestone, fossiliferous
"""
strip = Striplog.from_description(description, lexicon=lexicon)