Can this skill handle malformed or messy LAS files?

Yes, it includes parameters to ignore header errors and handle various character encodings like 'latin-1', which are common in older or incorrectly exported files.

What versions of LAS files does this skill support?

The lasio skill supports both LAS 1.2 and 2.0, which are the most widely used standards for Log ASCII Standard files in the oil and gas industry.

How does it handle missing data or null values?

It identifies the specific null value defined in the LAS header (commonly -999.25) and allows for easy replacement with NumPy NaN or other placeholders during processing.

Does this skill work with DLIS files?

No, lasio is designed specifically for ASCII-based LAS files. For binary DLIS or RP66 files, specialized tools like dlisio are recommended.

Can I convert LAS data to a pandas DataFrame?

Yes, the skill provides direct methods to export curve data into pandas DataFrames, typically using depth as the index for easier analysis.

Lasio Well Log Parser

Name: Lasio Well Log Parser
Author: SteadfastAsArt

bySteadfastAsArt

•

数据科学与机器学习

Read, write, and manipulate LAS (Log ASCII Standard) well log files for borehole geophysical and petrophysical data analysis.

The lasio skill provides Claude with the specialized ability to handle Log ASCII Standard (LAS) files, the industry standard for wireline and borehole data. It enables seamless conversion between LAS formats and Python DataFrames, handles header metadata extraction, and provides robust error handling for malformed or non-standard files. This skill is essential for geoscientists and petrophysicists needing to automate data cleaning, batch process well logs, or integrate geophysical data into machine learning and analytics workflows.

主要功能

0112 GitHub stars

02Programmatic generation and modification of LAS files from array-based data

03Seamless conversion of well log curves to pandas DataFrames and NumPy arrays

04Full support for reading and writing LAS 1.2 and 2.0 file formats

05Comprehensive metadata extraction for well headers, curve units, and mnemonics

06Robust parsing of malformed or non-standard LAS headers with error-ignore modes

使用场景

01Batch converting legacy LAS files into CSV or Excel for regional geological studies

02Cleaning and normalizing wireline log data for preparation in machine learning models

03Extracting petrophysical header information for automated database population

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add steadfastasart/geoscience-skills lasio

For use in Claude.ai and ChatGPT

Download Skill