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LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

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andymcdgeo/las_explorer

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LAS Explorer

Version 0.2.0

The LAS Data Explorer is a tool designed using Python and Streamlit to help you view and gain an understanding of the contents of a LAS file. Current functionality includes:

  • Loading LAS files
  • Viewing Header Information
  • Viewing Curve Information (names, values and statistics)
  • Visualising LAS data using an interactive log plot
  • Visualising LAS data using an interactive crossplot (scatter plot) and histogram
  • Display data coverage

A running version of the app can be accessed at at https://las-explorer.herokuapp.com. The app may run slowly when accessing it. This is due to the hosting and should not affect functionality.

Notes on Usage

  • The app can be cloned and run locally using streamlit: streamlit run app.py. When doing this, ensure you have the required modules listed in the requirements file.
  • Scales on interactive plots can be changed by double clicking on the lower/upper limit values.

Bugs, Enhancements and Comments

All comments, bug reports and enhancement requests are welcome. To do so, please submit a new issue and I will investigate it

Future Functionality

Future functionality will likely include:

  • Working with multiple LAS files
  • Mapping of wells

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LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

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