logSuite

Fast, Pythonic petrophysical well log analysis with depth-weighted statistics, hierarchical filtering, and template-driven visualization.

Key Features

• LAS 2.0/3.0 file loading with lazy data loading and automatic metadata parsing

• Depth-weighted statistics using midpoint interval method

• Chained filtering on discrete properties (zones, facies, net/gross)

• Mathematical operations between properties with automatic depth alignment

• Multi-well analysis via WellDataManager broadcasting

• Template-driven visualization for well logs and crossplots

• 6 regression models for crossplot analysis

Quick Start

from logsuite import WellDataManager

manager = WellDataManager()
manager.load_las("well_a.las").load_las("well_b.las")

well = manager.well_12_3_2_B
stats = well.PHIE.filter('Zone').sums_avg()

Getting Started

• Installation
  • From PyPI
  • From Source
  • Requirements
  • Development Installation
  • Documentation Build
• Quick start
  • The three abstractions
  • Common patterns
  • Where next

How-to guides

• How-to guides
  • Fit a regression per group on one crossplot
  • Set a discrete-property palette once and have it flow everywhere
  • Pool raw plug values across wells in one call
  • Export regression equations in Petrel calculator syntax
  • Build a SCAL/DG3 deliverable: crossplot + stats table in one SVG
  • Display a single-well log plot

User Guide

• Loading Data
  • LAS Files
  • DataFrames
  • Multiple Sources
• Wells and Properties
  • Well Object
  • Property Object
  • Depth Alignment
• Statistics
  • Depth-Weighted vs Arithmetic
  • Available Functions
  • sums_avg()
  • Interval Computation
• Visualization
  • Template
  • WellView
  • Crossplot
• Regression
  • Available Models
  • Basic Usage
  • With Crossplots
  • Polynomial Degree
  • Petrel calculator syntax
• Multi-Well Analysis
  • WellDataManager
  • Accessing Wells
  • Filtered views
  • Broadcasting
  • Data Validation
  • Skipped Well Warnings

API Reference

• API Reference
  • Core

Project

• Changelog