Enhancing Visualization of Well Logs With Plot Fills Applying Color Infill to Well Log Data Using matplotlib and fill_betweenx() Log plot shading using fill_betweenx. [Image Created by Author] Matplotlib is a great library to work with in Python and it is one that I always go back to time and time again to work with well logs….

Loading and Displaying Well Log Data from LAS Files with Python Exploring and working with Log ASCII (LAS) files for well log analysis and petrophysics Photo by Chris Ried on Unsplash Anyone who has worked or is currently working within the oil and gas industry will understand that there are a large variety of formats that well…

Visualising Well Data Coverage Using Matplotlib Exploring where data is and where it isn’t Photo by Vilmos Heim on Unsplash Exploratory Data Analysis (EDA) is an integral part of Data Science. The same is true for the petrophysical domain and can often be referred to as the Log QC or data review stage of a project. It…

Creating Histograms of Well Log Data Using Matplotlib in Python Visualising the distribution of data with histograms Photo by Marcin Jozwiak on Unsplash Introduction Histograms are a commonly used tool within exploratory data analysis and data science. They are an excellent data visualisation tool and appear similar to bar charts. However, histograms allow us to gain insights…

Using Line Plots from Matplotlib to Create Simple Log Plots of Well Log Data Visualising well log data versus depth using the matplotlib library from Python Well log plot created using the matplotlib Python library. Image by author. Introduction Well log plots are a common visualization tool within geoscience and petrophysics. They allow easy visualization of data (for…

Thanks Tim. Interesting suggestion. Would you be suggesting appending the dataframes generated in the for loop to something like a pickle file? Would there be any memory issues holding that file open while all las files are being read and appended?