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.
- 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.
All comments, bug reports and enhancement requests are welcome. To do so, please submit a new issue and I will investigate it
Future functionality will likely include:
- Working with multiple LAS files
- Mapping of wells