Visualizing Well Paths With The Welly Python Library Creating 3D Line Plots Using Matplotlib to Visualize Well Trajectories 3D Line Plot showing the position of a well path generated from the Welly Python Library. Image by the author. There are multiple depth references used within well logging to denote a position along the wellbore. These include measured

Well Log Data Outlier Detection With Machine Learning and Python Identification of outliers is an essential step in the machine learning workflow Photo by Will Myers on Unsplash Outliers are anomalous points within a dataset. They are points that don’t fit within the normal or expected statistical distribution of the dataset and can occur for a variety of

Identification and Handling of Missing Well Log Data Prior to Petrophysical Machine Learning Part 2 in a series going from Exploratory Data Analysis to Machine Learning with Well Log Data Photo by Markus Spiske on Unsplash Machine learning and Artificial Intelligence are becoming popular within the geoscience and petrophysics domains. Especially over the past decade. Machine learning is

Exploring Well Log Data Using Pandas, Matplotlib, and Seaborn An example of exploring petrophysical and well log measurements using a number of plots from Seaborn and Matplotlib Photo by Markus Spiske on Unsplash Machine learning and Artificial Intelligence are becoming popular within the geoscience and petrophysics domains. Especially over the past decade. Machine learning is a subdivision

Creating Boxplots Using Matplotlib in Python Understand your data distribution and identify outliers in petrophysics and well log data using boxplots Multiple boxplots with different y-axis ranges generated using matplotlib in python. Image by author. Boxplots are a great tool for data visualisation, they can be used to understand the distribution of your data, whether it is skewed

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

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

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

10 Applications of Machine Learning Within Petrophysics Examples of machine learning to enhance your petrophysical workflow Photo by Dan Meyers on Unsplash Several decades of hydrocarbon exploration have led to the acquisition and storage of large quantities of well related measurements, which have been used to characterise the subsurface geology and its hydrocarbon potential. The potential

Exploring Well Log Data Using the Welly Python Library A Python library dedicated to loading and exploring well log LAS files Photo by ali elliott on Unsplash The welly library was developed by Agile Geoscience to help with loading, processing, and analysing well log data from a single well or multiple wells. The library allows exploration of the