The example below illustrates how to load a las file and view the well header information.įirst we need to import lasio, and then call upon lasio.read() Within the function’s brackets we pass in the path to the las file. Once the library has been installed you can easily import into your Jupyter Notebook by typing import lasio. To install lasio, you simply open up a command prompt or terminal and type pip install lasio. When data is loaded into lasio, it can easily be converted to other file formats, including to a pandas dataframe. In order to read these files a dedicated python library, called lasio, was developed by Kent Inverarity to read and write these types of files. Log ASCII Standard (LAS) files are a common file format for storing and transferring well log data. lasio - Loading, Editing and Creating .LAS Files In this article, I will introduce you to 6 of my favourite and most well-used Python libraries to help with tasks such as data loading for specific file formats to visualisation of that data.

Within the petrophysics and geoscience domains, there are a number of helpful libraries that can make things easier when working with well log data.

One of the great things about Python is the vast number of open source libraries that have been developed to improve the way we work with data and make sense of it.

Discover 6 great python libraries that you can start using today with well log data

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