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LAS with Python

··160 words·1 min·

🌟 Transform LAS files into insights with Python lasio is a Python library (requires ≥ 3.7) designed to read and write LAS (Log ASCII Standard) files, a common format in geologic logging data —ideal for geology, petrophysics, or well logs— with support for versions 1.2 and 2.0, and 3.0 under development.

Key benefits:

  • Robust file handling: tolerates errors or non-standard formats so your workflow doesn’t stop.
  • Direct integration with pandas: converts LAS data to a DataFrame easily for analysis and visualization.
  • Metadata reading/extraction: access file sections such as headers, curves, or parameters.
  • Format flexibility: export to CSV, Excel, or other formats, or even create LAS files from scratch.

Ideal for:

  • Geoscience teams that need to automate data transformation.
  • Projects that require quickly exploring, visualizing, or converting logs.
  • Any workflow where practicality and reliability are key.

More information at the link 👇

Also published on LinkedIn.
Juan Pedro Bretti Mandarano
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Juan Pedro Bretti Mandarano