Thanks for the comment Elena. I am glad you have found this article helpful. Working with Python and geoscience data is great and there is so much potential that ML and Python can bring to it. Looking forward to seeing articles from you on the subject. 🙂
Similar Posts
Visualising Well Data Coverage Using Matplotlib
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…
Displaying Lithology Data on a Well Log Plot Using Python
Displaying Lithology Data on a Well Log Plot Using Python Using fill_betweenx() in matplotlib to add variable color fills and hatches for geological lithology data Well log plot with gamma ray, neutron porosity and bulk density data plotted alongside lithology data. Image created by the author. Adding lithology information to a well log plot can enhance a…
Enhancing Visualization of Well Logs With Plot Fills
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….
Creating Histograms of Well Log Data Using Matplotlib in Python
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…
Porosity-Permeability Relationships Using Linear Regression in Python
Porosity-Permeability Relationships Using Linear Regression in Python A short guide on applying a linear regression in Python to semi-log data Photo by Ekaterina Novitskaya on Unsplash Core data analysis is a key component in the evaluation of a field or discovery, as it provides direct samples of the geological formations in the subsurface over the interval of interest….
Creating Scatter Plots (Crossplots) of Well Log Data using matplotlib in Python
Creating Scatter Plots (Crossplots) of Well Log Data using matplotlib in Python Use scatter plots to visualise the relationship between variables Neutron density scatter plot / crossplot created with matplotlib in python. Image by the author. Introduction Scatter plots are a commonly used data visualisation tool. They allow us to identify and determine if there is a…